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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Diabetes Disease Portal Resource Report Resource Website |
Diabetes Disease Portal (RRID:SCR_001660) | Diabetes Disease Portal | data or information resource, data set, disease-related portal, portal, topical portal | An integrated resource for information on genes, QTLs and strains associated with diabetes. The portal provides easy acces to data related to both Type 1 and Type 2 Diabetes and Diabetes-related Obesity and Hypertension, as well as information on Diabetic Complications. View the results for all the included diabetes-related disease states or choose a disease category to get a pull-down list of diseases. A single click on a disease will provide a list of related genes, QTLs, and strains as well as a genome wide view of these via the GViewer tool. A link from GViewer to GBrowse shows the genes and QTLs within their genomic context. Additional pages for Phenotypes, Pathways and Biological Processes provide one-click access to data related to diabetes. Tools, Related Links and Rat Strain Models pages link to additional resources of interest to diabetes researchers. | gene, quantitative trait locus, strain, diabetic complication, genome, gviewer, genomic, phenotype, pathway, biological process, chromosome, visualization, molecular function, cellular component, synteny |
is related to: NIDDK Information Network (dkNET) is related to: Gene Ontology has parent organization: Rat Genome Database (RGD) |
Type 1 diabetes, Type 2 diabetes, Diabetes, Obesity, Hyperlipidemia, Metaboic disease, Hypertension | Free, Freely Available | nlx_153942 | http://rgd.mcw.edu/rgdCuration/?module=portal&func=show&name=diabetes | SCR_001660 | 2026-09-12 12:55:29 | 0 | ||||||
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GATK Resource Report Resource Website 10000+ mentions |
GATK (RRID:SCR_001876) | GATK | data analysis software, data processing software, software application, software library, software resource, software toolkit | A software package to analyze next-generation resequencing data. The toolkit offers a wide variety of tools, with a primary focus on variant discovery and genotyping as well as strong emphasis on data quality assurance. Its robust architecture, powerful processing engine and high-performance computing features make it capable of taking on projects of any size. This software library makes writing efficient analysis tools using next-generation sequencing data very easy, and second it's a suite of tools for working with human medical resequencing projects such as 1000 Genomes and The Cancer Genome Atlas. These tools include things like a depth of coverage analyzers, a quality score recalibrator, a SNP/indel caller and a local realigner. (entry from Genetic Analysis Software) | gene, genetic, genomic, next-generation resequencing, bio.tools |
is used by: Halvade Somatic is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: bio.tools is listed by: Debian is listed by: SoftCite is related to: SnpEff is related to: GATK HaplotypeCaller is related to: GATK VariantFiltration has parent organization: Broad Institute |
PMID:21478889 | Free, Available for download, Freely available | nlx_154324, OMICS_00286, biotools:gatk | http://www.broadinstitute.org/gsa/wiki/index.php/The_Genome_Analysis_Toolkit, https://bio.tools/gatk | SCR_001876 | Genome Analysis ToolKit | 2026-09-12 12:55:33 | 18211 | |||||
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MouseCyc Resource Report Resource Website 10+ mentions |
MouseCyc (RRID:SCR_001791) | MouseCyc | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | A manually curated database of both known and predicted metabolic pathways for the laboratory mouse. It has been integrated with genetic and genomic data for the laboratory mouse available from the Mouse Genome Informatics database and with pathway data from other organisms, including human. The database records for 1,060 genes in Mouse Genome Informatics (MGI) are linked directly to 294 pathways with 1,790 compounds and 1,122 enzymatic reactions in MouseCyc. (Aug. 2013) BLAST and other tools are available. The initial focus for the development of MouseCyc is on metabolism and includes such cell level processes as biosynthesis, degradation, energy production, and detoxification. MouseCyc differs from existing pathway databases and software tools because of the extent to which the pathway information in MouseCyc is integrated with the wealth of biological knowledge for the laboratory mouse that is available from the Mouse Genome Informatics (MGI) database. | energy production, biosynthesis, cell, cellular, degradation, detoxification, metabolism, mouse, physiological, enzymatic reaction, gene, disease, genome, metabolic pathway, pathway, compound, enzymatic reaction, protein, rna, reaction, blast, human, mammal, genetic, genomic |
is related to: Mouse Genome Informatics (MGI) is related to: Gene Ontology has parent organization: Jackson Laboratory |
NHGRI HG003622 | PMID:19682380 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10303 | SCR_001791 | MouseCyc database, Mouse Genome Informatics: MouseCyc database | 2026-09-12 12:55:31 | 10 | |||||
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NIMH Data Archive Resource Report Resource Website 100+ mentions |
NIMH Data Archive (RRID:SCR_004434) | NDA | data or information resource, data repository, database, service resource, storage service resource | The National Institute of Mental Health Data Archive (NDA) makes available human subjects data collected from hundreds of research projects across many scientific domains. Research data repository for data sharing and collaboration among investigators. Used to accelerate scientific discovery through data sharing across all of mental health and other research communities, data harmonization and reporting of research results. Infrastructure created by National Database for Autism Research (NDAR), Research Domain Criteria Database (RDoCdb), National Database for Clinical Trials related to Mental Illness (NDCT), and NIH Pediatric MRI Repository (PedsMRI). | afni brik, ascii, bshort, bfloat, connectome file format, cifti, clinical neuroinformatics, cor, dicom, imaging genomics, inc, minc2, nifti, os independent, philips par/rec, tex, vrml, phenotype, neuroimaging, genomic, gender, male, female, dti, fmri, mri, spectroscopy, eeg, microarray, snp, cnv, next-generation sequencing, gene regulation, gene expression, genotyping, pedigree, clinical assessment, FASEB list |
uses: HED Tags is used by: National Database for Clinical Trials related to Mental Illness is used by: RDoCdb is used by: NIH Heal Project is recommended by: National Library of Medicine is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: re3data.org is related to: National Database for Clinical Trials related to Mental Illness is related to: RDoCdb has parent organization: National Institute of Mental Health hosts: GUID Tool |
Autism, Autism spectrum disorder, Asperger Syndrome, Normal control, Sibling control, Parental control, Fragile X syndrome | Center for Information Technology ; NICHD ; NIEHS ; NIMH ; NINDS |
Restricted | nlx_143735, r3d100010717, r3d100012653 | http://www.nitrc.org/projects/ndarportal, https://data-archive.nimh.nih.gov/, https://doi.org/10.17616/R37K63, https://doi.org/10.17616/R3XV5P | http://ndar.nih.gov/ | SCR_004434 | NDAR, National Database for Autism Research, National Institute of Mental Health Data Archive, National Database for Autism Research (NDAR) | 2026-09-12 12:56:12 | 424 | |||
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Rat Genome Database (RGD) Resource Report Resource Website 100+ mentions |
Rat Genome Database (RGD) (RRID:SCR_006444) | RGD | data or information resource, data repository, database, service resource, storage service resource | Database for genetic, genomic, phenotype, and disease data generated from rat research. Centralized database that collects, manages, and distributes data generated from rat genetic and genomic research and makes these data available to scientific community. Curation of mapped positions for quantitative trait loci, known mutations and other phenotypic data is provided. Facilitates investigators research efforts by providing tools to search, mine, and analyze this data. Strain reports include description of strain origin, disease, phenotype, genetics, immunology, behavior with links to related genes, QTLs, sub-strains, and strain sources. | RIN, Resource Information Network, mouse, rat, human, gene, qtl, marker, map, strain, sequence, est, genome, ontology, pathway, comparative genomics, physiology, phenotype, disease, model organism, proteomics, function, genetic, genomic, variation, immunology, behavior, knockout, inbred rat strain, mutant, congenic rat, recombinant inbred rat, data analysis service, organism supplier, genotype, gold standard, FASEB list, RRID Community Authority |
uses: InterMOD is used by: ChannelPedia is used by: Resource Identification Portal is used by: DisGeNET is used by: Integrated Animals is used by: NIH Heal Project is recommended by: Resource Identification Portal is listed by: re3data.org is listed by: InterMOD is listed by: Resource Information Network is affiliated with: InterMOD is related to: Rat Gene Symbol Tracker is related to: MPO is related to: NIF Data Federation is related to: MONARCH Initiative is related to: Vertebrate Trait Ontology is related to: Biositemaps is related to: One Mind Biospecimen Bank Listing is related to: AmiGO is related to: OMICtools is related to: re3data.org is related to: Integrated Manually Extracted Annotation is related to: OntoMate has parent organization: Medical College of Wisconsin; Wisconsin; USA is parent organization of: Diabetes Disease Portal is parent organization of: Rat Strain Ontology is parent organization of: Rat Strain Ontology is parent organization of: Renal Disease Portal is organization facet of: Alliance of Genome Resources |
NHLBI | PMID:23434633 PMID:18996890 PMID:17151068 |
Free, Freely available | nif-0000-00134, r3d100010417, OMICS_01660 | https://doi.org/10.17616/R3WK60 | SCR_006444 | , Rat Genome Database, RGD | 2026-09-12 12:56:40 | 280 | ||||
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THEA - Tools for High-throughput Experiments Analysis Resource Report Resource Website |
THEA - Tools for High-throughput Experiments Analysis (RRID:SCR_005802) | THEA | data analysis software, data processing software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE, on documented July 16, 2012. An integrated information processing system dedicated to the analysis of post-genomic data. It allows automatic annotation of data issued from classification systems with selected biological information (including the Gene Ontology). Users can either manually search and browse through these annotations, or automatically generate meaningful generalizations according to statistical criteria (data mining). Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | high-throughput, analysis, ontology, microarray, genomic, annotation, gene ontology, data mining, statistical analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Virtual Biology Lab |
French Ministry of Higher Education and Research ; Bioinformatic Program |
PMID:15130932 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149290 | SCR_005802 | Tools for High-throughput Experiments Analysis | 2026-09-12 12:56:31 | 0 | |||||
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MitoRes Resource Report Resource Website 1+ mentions |
MitoRes (RRID:SCR_008208) | MitoRes | data acquisition software, data analysis software, data processing software, software application, software resource | MitoRes, is a comprehensive and reliable resource for massive extraction of sequences and sub-sequences of nuclear genes and encoded products targeting mitochondria in metazoa. It has been developed for supporting high-throughput in-silico analyses aimed to studies of functional genomics related to mitochondrial biogenesis, metabolism and to their pathological dysfunctions. It integrates information from the most accredited world-wide databases to bring together gene, transcript and encoded protein sequences associated to annotations on species name and taxonomic classification, gene name, functional product, organelle localization, protein tissue specificity, Enzyme Classification (EC), Gene Ontology (GO) classification and links to other related public databases. The section Cluster, has been dedicated to the collection of data on protein clustering of the entire catalogue of MitoRes protein sequences based on all versus all global pair-wise alignments for assessing putative intra- and inter-species functional relationships. The current version of MitoRes is based on the UniProt release 4 and contains 64 different metazoan species. The incredible explosion of knowledge production in Biology in the past two decades has created a critical need for bioinformatic instruments able to manage data and facilitate their retrieval and analysis. Hundreds of biological databases have been produced and the integration of biological data from these different resources is very important when we want to focus our efforts towards the study of a particular layer of biological knowledge. MitoRes is a completely rebuilt edition of MitoNuc database, which has been extensively modified to deal successfully with the challenges of the post genomic era. Its goal is to represent a comprehensive and reliable resource supporting high-quality in-silico analyses aimed to the functional characterization of gene, transcript and amino acid sequences, encoded by the nuclear genome and involved in mitochondrial biogenesis, metabolism and pathological dysfunctions in metazoa. The central features of MitoRes are: # an integrated catalogue of protein, transcript and gene sequences and sub-sequences # a Web-based application composed of a wide spectrum of search/retrieval facilities # a sequence export manager allowing massive extraction of bio-sequences (genes, introns, exons, gene flanking regions, transcripts, UTRs, CDS, proteins and signal peptides) in FASTA, EMBL and GenBank formats. It is an interconnected knowledge management system based on a MySQL relational database, which ensures data consistency and integrity, and on a Web Graphical User Interface (GUI), built in Seagull PHP Framework, offering a wide range of search and sequence extraction facilities. The database is compiled extracting and integrating information from public resources and data generated by the MitoRes team. The MitoRes database consists of comprehensive sequence entries whose core data are protein, transcript and gene sequences and taxonomic information describing the biological source of the protein. Additional information include: bio-sequences structure and location, biological function of protein product and dynamic links to both, external public databases used as data resources and public databases reporting complementary information. The core entity of the MitoRes database is represented by the protein so that each MitoRes entry is generated for each protein reported in the UniProt database as a nuclear encoded protein involved in mitochondrial biogenesis and function. Sponsors: MitoRes has been supported by Ministero Universit e Ricerca Scientifica, Italy (PRIN, Programma Biotecnologie legge 95/95-MURST 5, Proiect MURST Cluster C03/2000, CEGBA). Currently it is supported by operating grants from the Ministero dellIstruzione, dellUniversit e della Ricerca (MIUR), Italy (PNR 2001-2003 (FIRB art.8) D.M. 199, Strategic Program: Post-genome, grant 31-063933 and Project n.2, Cluster C03 L. 488/929). | dysfunction, encode, enzyme, exon, extraction, function, functional, gene, alignment, amino acid, biogenesis, bioinformatic, biological, biology, cds, classification, disfunctional, genome, genomic, genomics, intron, localization, location, metabolic process, metabolism, metazoa, mitochondria, mitochondrial, mitochondrial genes and proteins databases, nuclear, nuclear_gene, nuclear_mitochondrial, nuclear_sequence, organelle, organelle localization, pathological, peptide, protein, protein_coding, protein structure classification, region, sequence, signal, signal_peptide, specie, specificity, structure, sub-sequence, taxonomic, tissue, transcript, utr | nif-0000-21269 | http://www2.ba.itb.cnr.it/MitoNuc/ | SCR_008208 | 2026-09-12 12:57:01 | 1 | |||||||||
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MedBlast Resource Report Resource Website 1+ mentions |
MedBlast (RRID:SCR_008202) | software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. An algorithm that finds articles most relevant to a genetic sequence. In the genomic era, researchers often want to know more information about a biological sequence by retrieving its related articles. However, there is no available tool yet to achieve conveniently this goal. Here, a new literature-mining tool MedBlast is developed, which uses natural language processing techniques, to retrieve the related articles of a given sequence. An online server of this program is also provided. The genome sequencing projects generate such a large amount of data every day that many molecular biologists often encounter some sequences that they know nothing about. Literature is usually the principal resource of such information. It is relatively easy to mine the articles cited by the sequence annotation; however, it is a difficult task to retrieve those relevant articles without direct citation relationship. The related articles are those described in the given sequence (gene/protein), or its redundant sequences, or the close homologs in various species. They can be divided into two classes: direct references, which include those either cited by the sequence annotation or citing the sequence in its text; indirect references, those which contain gene symbols of the given sequence. A few additional issues make the task even more complicated: (1) symbols may have aliases; and (2) one sequence may have a couple of relatives that we want to take into account too, which include redundant (e.g. protein and gene sequences) and close homologs. Here the issues are addressed by the development of the software MedBlast, which can retrieve the related articles of the given sequence automatically. MedBlast uses BLAST to extend homology relationships, precompiled species-specific thesauruses, a useful semantics technique in natural language processing (NLP), to extend alias relationship, and EUtilities toolset to search and retrieve corresponding articles of each sequence from PubMed. MedBlast take a sequence in FASTA format as input. The program first uses BLAST to search the GenBank nucleic acid and protein non-redundant (nr) databases, to extend to those homologous and corresponding nucleic acid and protein sequences. Users can input the BLAST results directly, but it is recommended to input the result of both protein and nucleic acid nr databases. The hits with low e-values are chosen as the relatives because the low similarity hits often do not contain specific information. Very long sequences, e.g. 100k, which are usually genomic sequences, are discarded too, for they do not contain specific direct references. User can adjust these parameters to meet their own needs. | gene, article, biological, data, genome, genomic, homolog, literature, medline interfaces, mining, molecular, protein, sequence, specie | National Natural Science Foundation of China 39990600-03; Knowledge Innovation Program of the Chinese Academy of Sciences KSCX2-2-07; Knowledge Innovation Program of the Chinese Academy of Sciences KJCX1-08 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21253 | SCR_008202 | MedBlast | 2026-09-12 12:57:01 | 1 | ||||||||
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Parasite genome databases and genome research resources Resource Report Resource Website 1+ mentions |
Parasite genome databases and genome research resources (RRID:SCR_008150) | data or information resource, database, portal, topical portal | This website contains information about the genomic sequence of parasites. It also contains multiple search engines to search six frame translations of parasite nucleotide databases for motifs, parasite protein databases for motifs, and parasite protein databases for keywords and text terms. * Guide to Internet Access to Parasite Genome Information * Guide to web-based analysis tools * Parasite Genome BLAST Server: Search a range of parasite specific nucleotide sequence databases with your own sequence. * Parasite Proteome Keyword Search Facility: Search parasite protein databases for keywords and text terms * Parasite Proteome Motif Search Facility: Search parasite protein databases for motifs * Parasite Six Frame Translation Motif Search Facility: Search six frame translations of parasite nucleotide databases for motifs * Genome computing resources: A list of ftp and gopher sites where genome computing applications and other resources can be found. | genome, genomic, nucleotide, parasite, protein, proteome, sequence, gold standard | has parent organization: European Bioinformatics Institute | nif-0000-20981 | SCR_008150 | Parasite Genome Database | 2026-09-12 12:57:00 | 2 | |||||||||
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Joint Center for Structural Genomics Resource Report Resource Website 50+ mentions |
Joint Center for Structural Genomics (RRID:SCR_008251) | JCSG | institution | The JCSG is a multi-institutional consortium that aims to explore the expanding protein universe to find new challenges and opportunities to significantly contribute to new biology, chemistry and medicine through development of HT approaches to structural genomics. The mission of JCSG is to to operate a robust HT protein structure determination pipeline as a large-scale production center for PSI-2. A major goal is to ensure that innovative high-throughput approaches are developed that advance not only structural genomics, but also structural biology in general, via investigation of large numbers of high-value structures that populate protein fold and family space and by increasing the efficiency of structure determination at substantially reduced cost. The JCSG centralizes each core activity into single dedicated sites, each handling distinct, but interconnected objectives. This unique approach allows each specialized group to focus on its own area of expertise and provides well-defined interfaces among the groups. In addition, this approach addresses the requirements for the scalability needed to process large numbers of targets at a greatly reduced cost per target. JCSG production groups are: - Administrative Core - Bioinformatics Core - Crystallomics Core - Structure Determination Core - NMR Core JCSG is deeply committed to the development of new technologies that facilitate high throughput structural genomics. The areas of development include hardware, software, new experimental methods, and adaptation of existing technologies to advance genome research. In the hardware arena, their commitment is to the development of technologies that accelerate structure solution by increasing throughput rates at every stage of the production pipeline. Therefore, one major area of hardware development has been the implementation of robotics. In the software arena, they have developed enterprise resource software that track success, failures, and sample histories from target selection to PDB deposition, annotation and target management tools, and helper applications aimed at facilitating and automating multiple steps in the pipeline. Sponsors: The Joint Center for Structural Genomics is funded by the National Institute of General Medical Sciences (NIGMS), as part of the second phase of the Protein Structure Initiative (PSI) of the National Institutes of Health (U54 GM074898). | exclusion chromatography, expression, fine-structure spectroscopy, fold, absorption, affinity, bacterial, baculovirus, bioinformatics, biology, biophysical, cell, chemistry, cloning, crystallization, crystallomics, differential scanning calorimetry, diffraction, domain, genomic, gnfuge, growth, hardware, ief gel electrophoresis, macromoleuclar, medicine, microexpression, mouse, nmr, optical density, physicochemical, protein, purification, recombinatorial, robotics, sds-page, sequence, software, structural, structural biology, structure, technology, thermocycler, topoisomerase, tryptic mass spectrometry, uv/vis absorbance scan, x-ray |
has parent organization: University of California at San Diego; California; USA has parent organization: Scripps Research Institute has parent organization: Sanford Burnham Prebys Medical Discovery Institute has parent organization: Stanford University; Stanford; California |
nif-0000-22295, grid.419677.a | https://ror.org/00exr1241 | SCR_008251 | JCSG | 2026-09-12 12:57:01 | 99 | |||||||
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University of California Davis Center for Comparative Medicine Resource Report Resource Website |
University of California Davis Center for Comparative Medicine (RRID:SCR_008294) | data or information resource, department portal, organization portal, portal | The University of California Davis Center for Comparative Medicine (CCM) is a cooperative, interdisciplinary research and teaching center that is co-sponsored by the School of Medicine and the School of Veterinary Medicine. CCM Faculty members have academic appointments in one or both Schools. The CCM Research Mission is to investigate the pathogenesis of human and animal disease, using animal models or naturally occurring animal diseases. Areas of emphasis include host-agent interactions during infectious disease, intervention and prevention strategies for infectious diseases, cancer, and mouse biology. CCM faculty contribute a broad range of expertise to these areas, including the disciplines of immunology, genomics, pathology, biochemistry, physiology, microbiology, molecular virology, and informatics. Through its robust and interdisciplinary research programs, the CCM provides a rich academic environment for teaching at the professional, graduate, and post-graduate levels within the School of Medicine and School of Veterinary Medicine. Opportunities are available for professional students from both schools to gain research experience. PhD candidates can pursue training opportunities in the CCMs faculty-sponsored research laboratories, with support from a number of training grants. This diverse research environment is intended to attract and train high-quality candidates to the disciplines of comparative medicine, independent and collaborative research, and mouse biology. Sponsors: CCM is supported by UC Davis. | animal, biochemistry, biology, cancer, comparative, disease, genomic, immunology, infectious, informatic, medicine, microbiology, molecular, mouse, pathology, physiology, research, veterinary, virology | has parent organization: University of California at Davis; California; USA | nif-0000-24374 | SCR_008294 | CCM | 2026-09-12 12:57:02 | 0 | |||||||||
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BioBank Central Resource Report Resource Website |
BioBank Central (RRID:SCR_008645) | BioBank Central | biospecimen repository, material storage repository, service resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on March 27, 2013. Web-based portal to connect all the constituencies in the global biobank community. The project seeks to increase the transparency and accessibility of the scientific research process by connecting researchers with an additional source of funding - microinvestments received from the broader online community. In exchange for these public investments, researchers will maintain research logs detailing the play-by-play progress made in their project, as well as publishing all of their data in a public database under a science commons license. These research projects, in turn, will serve to continually update a research-based neuroscience-based human brain & body curriculum. Biobanks are the meeting point of two major information trends in biomedical research: the generation of huge amounts of genomic and other laboratory data, and the electronic capture and integration of patient clinical records. They are comprised of large numbers of human biospecimens supplemented with clinical data. Biobanks when implemented effectively can harness the power of both genomic and clinical data and serve as a critical bridge between basic and applied research, linking laboratory to patient and getting to cures faster. As science and technology leaders work to address the many challenges facing U.S. biobanks logistical, technical, ethical, financial, intellectual property, and IT BioBank Central will serve as an accurate and timely source of knowledge and news about biorepositories and their role in research and drug development. The Web site also provides a working group venue, patient and public education programs, and a forum for international collaboration and harmonization of best practices. | biobank, community, biomedical, data, genomic, integration, patient, clinical, human, biospecimen, science, technology, biorepository, drug, development, education | has parent organization: Open Source Science Project | FasterCures ; Feinstein Kean Healthcare ; IBM Healthcare and Life Sciences ; Affymetrix ; Bioaccelerate Holdings Inc. ; Invitrogen Corporation |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-32933 | SCR_008645 | 2026-09-12 12:57:07 | 0 | |||||||
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Ingenuity Pathway Analysis Resource Report Resource Website 5000+ mentions Rating or validation data |
Ingenuity Pathway Analysis (RRID:SCR_008653) | IPA | pathway analysis tool | A web-based software application that enables users to analyze, integrate, and understand data derived from gene expression, microRNA, and SNP microarrays, metabolomics, proteomics, and RNA-Seq experiments, and small-scale experiments that generate gene and chemical lists. Users can search for targeted information on genes, proteins, chemicals, and drugs, and build interactive models of experimental systems. IPA allows exploration of molecular, chemical, gene, protein and miRNA interactions, creation of custom molecular pathways, and the ability to view and modify metabolic, signaling, and toxicological canonical pathways. In addition to the networks and pathways that can be created, IPA can provide multiple layering of additional information, such as drugs, disease genes, expression data, cellular functions and processes, or a researchers own genes or chemicals of interest. | software, drug, gene, analysis, chemical, metabolic, model, pathway, protein, signal, molecular signaling, genomic, pathway analysis tool |
uses: Ingenuity Pathways Knowledge Base is listed by: Biositemaps is listed by: OMICtools is listed by: SoftCite |
Commercial license | nif-0000-33144, OMICS_00399 | http://www.ingenuity.com/products/ipa, http://www.ingenuity.com/products/ipa/microrna-research | SCR_008653 | QIAGEN Ingenuity Pathway Analysis | 2026-09-12 12:57:07 | 6828 | ||||||
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PROGENY Resource Report Resource Website 100+ mentions |
PROGENY (RRID:SCR_006647) | Progeny | commercial organization, data management software, software application, software resource | Fully customizable, comprehensive genetic pedigree and clinical data management software including a multi-user relational database with an integrated pedigree drawing component to manage genetic and pedigree data in one database. Manage Pedigrees, Individuals, SNPs, STRs, Samples, Plates, Genotypes and exports to multiple analysis platforms. (entry from Genetic Analysis Software) * LIMS software, providing advanced sample tracking and management (including functionality to generate and record barcodes) and configurable workflows for your specific environment. * Full genotype management gives users the ability to track not only family-based studies, but Whole Genome Association studies containing 1000''s of samples with large arrays. | gene, genetic, genomic, c++, active x control, ms-windows, pedigree, clinical, genotype, data management, drawing, family history, questionnaire, sample, lab management, FASEB list |
is listed by: OMICtools is listed by: Genetic Analysis Software |
nlx_154553, OMICS_00216 | SCR_006647 | Progeny Software LLC, Progeny Software | 2026-09-12 12:56:43 | 416 | ||||||||
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BAR Resource Report Resource Website 10+ mentions |
BAR (RRID:SCR_006748) | BAR | analysis service resource, data analysis service, data or information resource, data set, production service resource, service resource | Web-based tools for working with functional genomics and other data, including Gene Expression and Protein Tools, Molecular Markers and Mapping Tools, and Other Genomic Tools. Most are designed with the plant (mainly Arabidopsis) researcher in mind, but a couple of them can be useful to the wider research community, e.g. Mouse eFP Browser or BlastDigester. The associated paper for most tools is available. | gene expression, protein, molecular marker, mapping, tool, genomic, genomics, functional genomics, interaction, molecular interaction, protein-protein interaction, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: PSICQUIC Registry has parent organization: University of Toronto; Ontario; Canada |
Canada Foundation for Innovation ; Genome Canada |
nlx_152191, biotools:bioanalres_bar | https://bio.tools/bioanalres_bar | SCR_006748 | Bio-Analytic Resource for Plant Biology, Bio-Analytic Resource, Bio-Analytic Resource - the BAR | 2026-09-12 12:56:44 | 48 | ||||||
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HumanCyc: Encyclopedia of Homo sapiens Genes and Metabolism Resource Report Resource Website 50+ mentions |
HumanCyc: Encyclopedia of Homo sapiens Genes and Metabolism (RRID:SCR_007050) | HumanCyc | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource, software resource | The HumanCyc database describes human metabolic pathways and the human genome. By presenting metabolic pathways as an organizing framework for the human genome, HumanCyc provides the user with an extended dimension for functional analysis of Homo sapiens at the genomic level. A computational pathway analysis of the human genome assigned human enzymes to predicted metabolic pathways. Pathway assignments place genes in their larger biological context, and are a necessary step toward quantitative modeling of metabolism. HumanCyc contains the complete genome sequence of Homo sapiens, as presented in Build 31. Data on the human genome from Ensembl, LocusLink and GenBank were carefully merged to create a minimally redundant human gene set to serve as an input to SRI''s PathoLogic software, which generated the database and predicted Homo sapiens metabolic pathways from functional information contained in the genome''s annotation. SRI did not re-annotate the genome, but worked with the gene function assignments in Ensembl, LocusLink, and GenBank. The resulting pathway/genome database (PGDB) includes information on 28,783 genes, their products and the metabolic reactions and pathways they catalyze. Also included are many links to other databases and publications. The Pathway Tools software/database bundle includes HumanCyc and the Pathway Tools software suite and is available under license. This form of HumanCyc is faster and more powerful than the Web version. | enzyme, function, functional, gene, genome, genomic, human, human genome, metabolic, metabolism, mitochondrion, nucleotide, pathway, position, reaction, sequence, metabolomics, gene expression, bioreaction, metabolic pathway, nutrition, FASEB list |
is listed by: BioCyc is related to: Pathway Commons is related to: ConsensusPathDB is related to: BioCyc is related to: Pathway Tools has parent organization: Stanford Research Institute International |
Pharmaceutical company ; NIGMS GM092729 |
PMID:15642094 | Public | r3d100011286, nif-0000-21206 | https://doi.org/10.17616/R3ZS72 | SCR_007050 | 2026-09-12 12:56:49 | 65 | |||||
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GOblet Resource Report Resource Website 1+ mentions |
GOblet (RRID:SCR_006998) | GOblet | analysis service resource, data analysis service, production service resource, service resource, software application, software resource | Tool that performs annotation based on GO and pathway terms for anonymous cDNA or protein sequences. It uses the species independent GO structure and vocabulary together with a series of protein databases collected from various sites, to perform a detailed GO annotation by sequence similarity searches. The sensitivity and the reference protein sets can be selected by the user. GOblet runs automatically and is available as a public service on our web server. GOblet expects query sequences to be in FASTA-Format (with header-lines). Protein and nucleotide sequences are accepted. Total size of all sequences submitted per request should not be larger than 50kb currently. For security reasons: Larger post's will be rejected. Due to limited capacities the queries may be processed in batches depending on the server load. The output of the BLAST job is filtered automatically and the relevant hits are displayed. In addition, the respective GO-terms are shown together with the complete GO-hierarchy of parent terms., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, sequence, cdna, ontology or annotation browser, pathway, term enrichment, clustering, virus, genomic, protein, nucleotide |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology has parent organization: Max Planck Institute for Molecular Genetics; Berlin; Germany |
BMBF | PMID:20134064 PMID:15215401 PMID:12824400 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30624, OMICS_02271 | http://goblet.molgen.mpg.de | SCR_006998 | 2026-09-12 12:56:48 | 6 | |||||
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DeconSeq Resource Report Resource Website 100+ mentions |
DeconSeq (RRID:SCR_007006) | data analysis software, data processing software, sequence analysis software, software application, software resource | Software tool to automatically detect and efficiently remove sequence contaminations from genomic and metagenomic datasets. It is easily configurable and provides a user-friendly interface. The user can upload FASTA or FASTQ files and select the databases used for contamination screening, including seven human genomes, bacterial genomes, and viral genomes. The user can set the thresholds interactivly and see the results directly using the functionality of the graphical interface. The results can be downloaded in joined or separated files in different formats. The coverage-identity plots provide additional information that can guide the selections of the thresholds using color coded points and connecting lines. | microbiome, sequence analysis, genomic, metagenomic, datasets, contamination, decontamination, FASEB list |
is listed by: OMICtools is listed by: Human Microbiome Project has parent organization: SourceForge |
Available for download | OMICS_01418 | SCR_007006 | DECONtamination of SEQuence data, decontamination of sequence data | 2026-09-12 12:56:48 | 213 | ||||||||
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MAIA Resource Report Resource Website 100+ mentions |
MAIA (RRID:SCR_007153) | MAIA | data analysis software, data processing software, software application, software resource | Software package of programs for complex segregation analysis in animal pedigrees. | gene, genetic, genomic, segregation, analysis, animal, pedigree |
is listed by: Genetic Analysis Software has parent organization: Institute of Cytology and Genetics of the Siberian Branch of the RAS; Novosibirsk; Russia |
Free, Non-commercial, Change of source code requires permission | nlx_154435 | SCR_007153 | 2026-09-12 12:56:50 | 359 | ||||||||
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GEISHA - Gallus Expression in Situ Hybridization Analysis: A Chicken Embryo Gene Expression Database Resource Report Resource Website 1+ mentions |
GEISHA - Gallus Expression in Situ Hybridization Analysis: A Chicken Embryo Gene Expression Database (RRID:SCR_007440) | GEISHA | atlas, data or information resource, data repository, database, experimental protocol, narrative resource, service resource, storage service resource | Online repository for chicken in situ hybridization information. This site presents whole mount in situ hybridization images and corresponding probe and genomic information for genes expressed in chicken embryos in Hamburger Hamilton stages 1-25 (0.5-5 days). The GEISHA project began in 1998 to investigate using high throughput whole mount in situ hybridization to identify novel, differentially expressed genes in chicken embryos. An initial expression screen of approximately 900 genes demonstrated feasibility of the approach, and also highlighted the need for a centralized repository of in situ hybridization expression data. Objectives: The goals of the GEISHA project are to obtain whole mount in situ hybridization expression information for all differentially expressed genes in the chicken embryo between HH stages 1-25, to integrate expression data with the chicken genome browsers, and to offer this information through a user-friendly graphical user interface. In situ hybridization images are obtained from three sources: 1. In house high throughput in situ hybridization screening: cDNAs obtained from several embryonic cDNA libraries or from EST repositories are screened for expression using high throughput in situ hybridization approaches. 2. Literature curation: Agreements with journals permit posting of published in situ hybridization images and related information on the GEISHA site. 3. Unpublished in situ hybridization information from other laboratories: laboratories generally publish only a small fraction of their in situ hybridization data. High quality images for which probe identity can be verified are welcome additions to GEISHA. | expression data, expression pattern, gene, gene expression, genome, chicken, chicken embryo, genomic, in situ hybridization, mapping, microarray, microrna, model organism, oligo, probe, stage, image, molecular neuroanatomy resource, embryo, embryonic chicken | has parent organization: University of Arizona; Arizona; USA | NIH ; NICHD R01HD044767 |
nif-0000-01251, r3d100012509 | https://doi.org/10.17616/R3RB6B | SCR_007440 | Gallus Expression in Situ Hybridization Analysis, GEISHA - Gallus Expression in Situ Hybridization Analysis | 2026-09-12 12:56:55 | 2 |
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