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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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University of Delaware Skate Genome Project Resource Report Resource Website 1+ mentions |
University of Delaware Skate Genome Project (RRID:SCR_005300) | Skate Genome Project | access service resource, core facility, service resource | Core facility provides a model for collaborative approaches to use specialized resources and expertise in an integrated process. Core builds on the expertise and resources provided by the Bioinformatics Cores of the five northeastern states that form NECC. The Skate Genome Annotation Workshops and Jamborees offer training and opportunities for faculty and students to work with and annotate genome sequences. Workshops include lectures, tutorials and exercises annotating the genome of the little skate, Leucoraja erinacea. | skate, genome, genomics, bioinformatics, sequencing, annotate, sequence, workshop |
has parent organization: North East Cyberinfrastructure Consortium has parent organization: University of Delaware; Delaware; USA is parent organization of: SkateBase |
Available to external user | nlx_144349 | SCR_005300 | , University of Delaware, Genome Project, Skate | 2026-09-12 01:03:15 | 1 | |||||||
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1000 Genomes Project and AWS Resource Report Resource Website 5000+ mentions |
1000 Genomes Project and AWS (RRID:SCR_008801) | 1000 Genomes Project and AWS | data or information resource, data set | A dataset containing the full genomic sequence of 1,700 individuals, freely available for research use. The 1000 Genomes Project is an international research effort coordinated by a consortium of 75 companies and organizations to establish the most detailed catalogue of human genetic variation. The project has grown to 200 terabytes of genomic data including DNA sequenced from more than 1,700 individuals that researchers can now access on AWS for use in disease research free of charge. The dataset containing the full genomic sequence of 1,700 individuals is now available to all via Amazon S3. The data can be found at: http://s3.amazonaws.com/1000genomes The 1000 Genomes Project aims to include the genomes of more than 2,662 individuals from 26 populations around the world, and the NIH will continue to add the remaining genome samples to the data collection this year. Public Data Sets on AWS provide a centralized repository of public data hosted on Amazon Simple Storage Service (Amazon S3). The data can be seamlessly accessed from AWS services such Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Elastic MapReduce (Amazon EMR), which provide organizations with the highly scalable compute resources needed to take advantage of these large data collections. AWS is storing the public data sets at no charge to the community. Researchers pay only for the additional AWS resources they need for further processing or analysis of the data. All 200 TB of the latest 1000 Genomes Project data is available in a publicly available Amazon S3 bucket. You can access the data via simple HTTP requests, or take advantage of the AWS SDKs in languages such as Ruby, Java, Python, .NET and PHP. Researchers can use the Amazon EC2 utility computing service to dive into this data without the usual capital investment required to work with data at this scale. AWS also provides a number of orchestration and automation services to help teams make their research available to others to remix and reuse. Making the data available via a bucket in Amazon S3 also means that customers can crunch the information using Hadoop via Amazon Elastic MapReduce, and take advantage of the growing collection of tools for running bioinformatics job flows, such as CloudBurst and Crossbow. | genomic data, genome, cloud computing, cloud, human, gene, genetic variation, research, dna |
is used by: HmtVar is related to: Broad Institute Genomics Platform has parent organization: Amazon Web Services |
nlx_144340 | SCR_008801 | 1000 Genomes Project and Amazon Web Services, 000 Genomes Project Amazon Web Services, 1000 Genomes Project AWS | 2026-09-12 01:03:18 | 7076 | ||||||||
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Fungi Sequencing Projects Resource Report Resource Website 1+ mentions |
Fungi Sequencing Projects (RRID:SCR_008524) | data or information resource, data set | Fungal genomes available from the Sanger Institute. Data are accessible in a number of ways; for each organism there is a BLAST server, allowing search of the sequences. Sequences can also be down-loaded directly by FTP. In addition, for those organisms being sequenced using a cosmid approach, finished and annotated cosmids are submitted to EMBL and other public databases. | genome, genomics, sequence, fungus, blast, data analysis service | has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom | nif-0000-30593 | SCR_008524 | Fungi Sequencing | 2026-09-12 01:03:17 | 6 | |||||||||
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Sequence Tag Alignment and Consensus Knowledgebase Database Resource Report Resource Website |
Sequence Tag Alignment and Consensus Knowledgebase Database (RRID:SCR_002156) | data or information resource, data processing software, data visualization software, database, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The STACKdb is knowledgebase generated by processing EST and mRNA sequences obtained from GenBank through a pipeline consisting of masking, clustering, alignment and variation analysis steps. The STACK project aims to generate a comprehensive representation of the sequence of each of the expressed genes in the human genome by extensive processing of gene fragments to make accurate alignments, highlight diversity and provide a carefully joined set of consensus sequences for each gene. The STACK project is comprised of the STACKdb human gene index, a database of virtual human transcripts, as well as stackPACK, the tools used to create the database. STACKdb is organized into 15 tissue-based categories and one disease category. STACK is a tool for detection and visualization of expressed transcript variation in the context of developmental and pathological states. The data system organizes and reconstructs human transcripts from available public data in the context of expression state. The expression state of a transcript can include developmental state, pathological association, site of expression and isoform of expressed transcript. STACK consensus transcripts are reconstructed from clusters that capture and reflect the growing evidence of transcript diversity. The comprehensive capture of transcript variants is achieved by the use of a novel clustering approach that is tolerant of sub-sequence diversity and does not rely on pairwise alignment. This is in contrast with other gene indexing projects. STACK is generated at least four times a year and represents the exhaustive processing of all publicly available human EST data extracted from GenBank. This processed information can be explored through 15 tissue-specific categories, a disease-related category and a whole-body index | exonic, expressed, expressed sequence tag (est), expression, fragment, gene, alignment, alternative gene, cdna, clone, cluster, developmental, disease, diversity, genome, homo sapiens, human, isoform, knowledgebase, meta-cluster, mrna, pathological, sequence, tissue, transcript, variant, visualization | PMID:11125101 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20946 | SCR_002156 | STACKdb | 2026-09-12 01:00:07 | 0 | ||||||||
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UK Sheep Genome Mapping Project Resource Report Resource Website 1+ mentions |
UK Sheep Genome Mapping Project (RRID:SCR_002272) | data or information resource, database, portal, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The project aims to apply genome mapping research to sheep, utilizing previous research in sheep (in other countries) and in other species (in the UK and abroad) to the benefit of the UK sheep industry. The project itself uses existing breeding structures, knowledge of the sheep genome and experimental resources. It has three main aims: i) To use the Suffolk, Texel and Charollais Sire Referencing Schemes to detect and verify quantitative trait loci (QTLs) for growth and carcass composition traits ii) To investigate candidate genes and/or chromosomal regions for associations with production traits. iii) To investigate approaches for optimizing future genotyping strategies within the sire referencing schemes for practical and cost effective application of marker-assisted selection By using commercial breeding populations for the research, immediate application of beneficial results is possible. Potential benefits include increased genetic progress through marker assisted selection which utilizes the genotype information, correction of possible parentage errors (ultimately leading to additional genetic progress) and opportunities for using marker information for product certification. The project will benefit the UK sheep industry by the use of Marker Assisted Selection (MAS) utilizing QTL or gene variants identified in the project. Additional benefits may arise from parentage verification and correction of errors e.g. misallocation of lamb to ewe. In the longer term, opportunities may exist to use markers for quality control, tracing products to their source. The major advantage of the design of this project is that the results are immediately applicable to the breeding schemes within which the QTLs and/or genes are detected. The time lag in the application of the results that is often seen with experimental populations is minimized. The project requires close involvement with the Sire Reference Schemes, in return for their assistance the results have immediate benefit to animals within these groups. | gene, animal, breed, breeding, chromosomal, chromosome, genome, genotype, genotyping, lamb, map, mapping, marker, population, production, region, sheep, specie, structure, trait | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20995 | SCR_002272 | UKSGMP | 2026-09-12 01:00:08 | 1 | |||||||||
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SoyBase Resource Report Resource Website 500+ mentions |
SoyBase (RRID:SCR_005096) | SoyBase | analysis service resource, controlled vocabulary, data analysis service, data or information resource, data repository, database, ontology, production service resource, service resource, storage service resource | Professionally curated repository for genetics, genomics and related data resources for soybean that contains the most current genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. SoyBase includes annotated Williams 82 genomic sequence and associated data mining tools. The genetic and sequence views of the soybean chromosomes and the extensive data on traits and phenotypes are extensively interlinked. This allows entry to the database using almost any kind of available information, such as genetic map symbols, soybean gene names or phenotypic traits. The repository maintains controlled vocabularies for soybean growth, development, and traits that are linked to more general plant ontologies. Contributions to SoyBase or the Breeder''s Toolbox are welcome. | soybean, gene, genetic map, genome, data set, trait, phenotype, molecular biology, sequence, chromosome, quantitative trait locus, php, genetics, genomics, legume, bio.tools, FASEB list |
is listed by: 3DVC is listed by: re3data.org is listed by: Debian is listed by: bio.tools has parent organization: Iowa State University; Iowa; USA is parent organization of: Soybean Ontologies is parent organization of: Soy Ontology |
USDA Agricultural Research Service | PMID:20008513 | The community can contribute to this resource | nif-0000-03483, r3d100010846, biotools:soybase | https://bio.tools/soybase, https://doi.org/10.17616/R3S032 | SCR_005096 | SoyBase and the Soybean Breeder''s Toolbox, SoyBase and the Soybean Breeder''s Toolbox: Integrating Genetics and Molecular Biology for Soybean Researchers | 2026-09-12 01:00:10 | 830 | ||||
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SOURCE Resource Report Resource Website 50+ mentions |
SOURCE (RRID:SCR_005799) | SOURCE | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | SOURCE compiles information from several publicly accessible databases, including UniGene, dbEST, UniProt Knowledgebase, GeneMap99, RHdb, GeneCards and LocusLink. GO terms associated with LocusLink entries appear in SOURCE. The mission of SOURCE is to provide a unique scientific resource that pools publicly available data commonly sought after for any clone, GenBank accession number, or gene. SOURCE is specifically designed to facilitate the analysis of large sets of data that biologists can now produce using genome-scale experimental approaches Platform: Online tool | genomic, functional annotation, ontology, gene expression, gene, genome, statistical analysis, bio.tools, FASEB list |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: SMD |
NIGMS ; NCI CA85129-04; NIGMS GM07365 |
PMID:12519986 | Restricted | biotools:source, nlx_149287 | https://login.stanford.edu/idp/profile/SAML2/Redirect/SSO?execution=e1s1, https://bio.tools/source | SCR_005799 | 2026-09-12 01:00:11 | 69 | |||||
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JCVI CMR Resource Report Resource Website 10+ mentions |
JCVI CMR (RRID:SCR_005398) | JCVI_CMR, JCVI CMR, TIGR_CMR, TIGR CMR | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Database of all of the publicly available, complete prokaryotic genomes. In addition to having all of the organisms on a single website, common data types across all genomes in the CMR make searches more meaningful, and cross genome analysis highlight differences and similarities between the genomes. CMR offers a wide variety of tools and resources, all of which are available off of our menu bar at the top of each page. Below is an explanation and link for each of these menu options. * Genome Tools: Find organism lists as well as summary information and analyses for selected genomes. * Searches: Search CMR for genes, genomes, sequence regions, and evidence. * Comparative Tools: Compare multiple genomes based on a variety of criteria, including sequence homology and gene attributes. SNP data is also found under this menu. * Lists: Select and download gene, evidence, and genomic element lists. * Downloads: Download gene sequences or attributes for CMR organisms, or go to our FTP site. * Carts: Select genome preferences from our Genome Cart or download your Gene Cart genes. The Omniome is the relational database underlying the CMR and it holds all of the annotation for each of the CMR genomes, including DNA sequences, proteins, RNA genes and many other types of features. Associated with each of these DNA features in the Omniome are the feature coordinates, nucleotide and protein sequences (where appropriate), and the DNA molecule and organism with which the feature is associated. Also available are evidence types associated with annotation such as HMMs, BLAST, InterPro, COG, and Prosite, as well as individual gene attributes. In addition, the database stores identifiers from other centers such as GenBank and SwissProt, as well as manually curated information on each genome or each DNA molecule including website links. Also stored in the Omniome are precomputed homology data, called All vs All searches, used throughout the CMR for comparative analysis. | microbial, prokaryotic, genome, annotation, dna sequence, protein, rna gene, blast, FASEB list |
is used by: NIF Data Federation is related to: AmiGO has parent organization: J. Craig Venter Institute is parent organization of: JCVI GenProp |
NSF ; NIAID ; DOE |
Free | nif-0000-03555 | SCR_005398 | JCVI Comprehensive Microbial Resource, J. Craig Venter Institute Comprehensive Microbial Resource, CMR, Comprehensive Microbial Resource | 2026-09-12 01:00:11 | 37 | ||||||
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VMD Resource Report Resource Website 1+ mentions |
VMD (RRID:SCR_004905) | PAMGO_VMD, VMD | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. Database covering a range of plant pathogenic oomycetes, fungi and bacteria primarily those under study at Virginia Bioinformatics Institute. The data comes from different sources and has genomes of 3 oomycetes pathogens: Phytophthora sojae, Phytophthora ramorum and Hyaloperonospora arabidopsidis. The genome sequences (95 MB for P.sojae and 65 MB for P.ramorum) were annotated with approximately 19,000 and approximately 16,000 gene models, respectively. Two different statistical methods were used to validate these gene models, Fickett''''s and a log-likelihood method. Functional annotation of the gene models is based on results from BlastX and InterProScan screens. From the InterProScan results, putative functions to 17,694 genes in P.sojae and 14,700 genes in P.ramorum could be assigned. An easy-to-use genome browser was created to view the genome sequence data, which opens to detailed annotation pages for each gene model. A community annotation interface is available for registered community members to add or edit annotations. There are approximately 1600 gene models for P.sojae and approximately 700 models for P.ramorum that have already been manually curated. A toolkit is provided as an additional resource for users to perform a variety of sequence analysis jobs. | microbial genome sequence, genome, genome sequence, genome model, gene, image, oomycete, fungus, bacteria, phytophthora sojae, phytophthora ramorum, hyaloperonospora arabidopsidis, plant |
is used by: NIF Data Federation is related to: AmiGO has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA |
USDA Cooperative State Research Education and Extension Service 2002-35600-12747; USDA Cooperative State Research Education and Extension Service 2004-35600-15055; NSF MCB-0242131; NSF EF-0412213; NSF DBI-0211863 |
PMID:16381891 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_87328 | http://phytophthora.vbi.vt.edu | SCR_004905 | VBI Microbial Database, Virginia Bioinformatics Institute Microbial Database | 2026-09-12 01:00:10 | 8 | ||||
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PLEXdb - Plant Expression Database Resource Report Resource Website 10+ mentions |
PLEXdb - Plant Expression Database (RRID:SCR_006963) | PLEXdb | analysis service resource, data analysis service, data or information resource, data repository, database, portal, production service resource, service resource, storage service resource, topical portal | PLEXdb (Plant Expression Database) is a unified gene expression resource for plants and plant pathogens. PLEXdb is a genotype to phenotype, hypothesis building information warehouse, leveraging highly parallel expression data with seamless portals to related genetic, physical, and pathway data. The integrated tools of PLEXdb allow investigators to use commonalities in plant biology for a comparative approach to functional genomics through use of large-scale expression profiling data sets. | gene expression, plant, plant pathogen, genotype, phenotype, genetic, physical, pathway, plant biology, compare, functional genomics, expression profiling, expression atlas, pathogen, genome, anova, cluster, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: FuncExpression has parent organization: Iowa State University; Iowa; USA |
UniNSF DBI-0543441; NSF IOS-0922746; USDA 3625-21000-049-00D |
PMID:22084198 | biotools:plexdb, r3d100011516, nlx_149236 | https://bio.tools/plexdb, https://doi.org/10.17616/R39D13 | SCR_006963 | PLEXdb - Gene expression resources for plants and plant pathogens, Plant Expression Database | 2026-09-12 01:00:12 | 21 | |||||
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Genetic and Rare Diseases Information Center Resource Report Resource Website 10+ mentions |
Genetic and Rare Diseases Information Center (RRID:SCR_008695) | GARD | data or information resource, disease-related portal, portal, topical portal | Genetic and Rare Diseases Information Center (GARD) is a collaborative effort of two agencies of the National Institutes of Health, The Office of Rare Diseases Research (ORDR) and the National Human Genome Research Institute (NHGRI) to help people find useful information about genetic conditions and rare diseases. GARD provides timely access to experienced information specialists who can furnish current and accurate information about genetic and rare diseases. So far, GARD has responded to 27,635 inquiries on about 7,147 rare and genetic diseases. Requests come not only from patients and their families, but also from physicians, nurses and other health-care professionals. GARD also has proved useful to genetic counselors, occupational and physical therapists, social workers, and teachers who work with people with a genetic or rare disease. Even scientists who are studying a genetic or rare disease and who need information for their research have contacted GARD, as have people who are taking part in a clinical study. Community leaders looking to help people find resources for those with genetic or rare diseases and advocacy groups who want up-to-date disease information for their members have contacted GARD. And members of the media who are writing stories about genetic or rare diseases have found the information GARD has on hand useful, accurate and complete. GARD has information on: :- What is known about a genetic or rare disease. :- What research studies are being conducted. :- What genetic testing and genetic services are available. :- Which advocacy groups to contact for a specific genetic or rare disease. :- What has been written recently about a genetic or rare disease in medical journals. GARD information specialists get their information from: :- NIH resources. :- Medical textbooks. :- Journal articles. :- Web sites. :- Advocacy groups, and their literature and services. :- Medical databases. | genetic, disease, information, genome, human, rare disease, health, physician, counselor, gene, journal, medical | has parent organization: National Institutes of Health | Office of Rare Diseases Research ; NHGRI |
nif-0000-37627 | SCR_008695 | Genetic Rare Diseases Information Center | 2026-09-12 01:00:14 | 16 | |||||||
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NovoAlign Resource Report Resource Website 500+ mentions |
NovoAlign (RRID:SCR_014818) | data analysis software, data processing software, sequence analysis software, software application, software resource | Software tool designed for mapping short reads onto a reference genome generated from Illumina, Ion Torrent, and 454 NGS platforms. Its features include paired end alignment, methylation status analysis, automatic base quality calibration, and in built adapter trimming and base quality trimming. | sequence analysis software, short read, map, genome, illumina, ion torrent, 454 ngs | Commercially available, Trial available by request | SCR_014818 | 2026-09-12 01:00:17 | 809 | |||||||||||
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Pig Genome Mapping Resource Report Resource Website |
Pig Genome Mapping (RRID:SCR_012884) | PiGMaP | atlas, data or information resource, database, image collection | Map of identifyied genes controlling traits of economic and welfare significance in the pig. The project objectives were to produce a genetic map with markers spaced at approximately 20 centiMorgan intervals over at least 90% of the pig genome; to produce a physical map with at least one distal and one proximal landmark locus mapped on each porcine chromosome arm and also genetically mapped; to develop a flow karyotype for the pig based on FACS sorted chromosomes; to develop PCR based techniques to enable rapid genotyping for polymorphic markers; to evaluate synteny conservation between pigs, man, mice and cattle; to develop and evaluate the statistical techniques required to analyze data from QTL mapping experiments and to plan and initiate the mapping of QTLs in the pig; to map loci affecting traits of economic and biological significance in the pig; and to develop the molecular tools to allow the future identification and cloning of mapped loci. Animal breeders currently assume that economically important traits such as growth, carcass composition and reproductive performance are controlled by an infinite number of genes each of infinitessimal effect. Although this model is known to be unrealistic, it has successfully underpinned the genetic improvement of livestock, including pigs, over recent decades. A map of the pig genome would allow the development of more realistic models of the genetic control of economic traits and the ultimately the identification of the major trait genes. This would allow the development of more efficient marker assisted selection which may be of particular value for traits such as disease resistance and meat quality. | gene, genetic, artificial chromosome, bacteriophage, biological, carcass, cattle, cdna, comparative, disease, genome, genotype, growth, human, karyotpe, linkage, livestock, locus, map, mapping, marker, mice, molecular, p1, pig, quality, quantitative, sus scrofa, trait, yeast | has parent organization: Roslin Institute | PMID:7749223 | nif-0000-20987 | http://www.projects.roslin.ac.uk/pigmap/pigmap.html | SCR_012884 | PGM | 2026-09-12 01:00:15 | 0 | ||||||
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Ascidian Network for InSitu Expression and Embryological Data Resource Report Resource Website 50+ mentions |
Ascidian Network for InSitu Expression and Embryological Data (RRID:SCR_013030) | ANISEED | data or information resource, data repository, database, service resource, software resource, storage service resource |
Database of ascidian embryonic development at the level of the genome (cis-regulatory sequences, gene expression, protein annotation), of the cell (morphology, fate, induction, lineage) or of the whole embryo (anatomy, morphogenesis). Currently, four organism models are described in Aniseed: Ciona intestinalis, Ciona savignyi, Halocynthia roretzi and Phallusia mammillata. This version supports four sets of Ciona intestinalis transcript models: JGI v1.0, KyotoGrail 2005, KH and ENSEMBL, all functionally annotated, and grouped into Aniseedv3.0 gene models. Users can explore their expression profiles during normal or manipulated development, access validated cis-regulatory regions, get the molecular tools used to assay gene function, or all articles related to the function, or regulation of a given gene. Known transcriptional regulators and targets are listed for each gene, as are the gene regulatory networks acting in individual anatomical territories. ANISEED is a community tool, and the direct involvement of external contributors is important to optimize the quality of the submitted data. Virtual embryo: The 3D Virtual embryo is available to download in the download section of the website. |
embryology, embryo, gene, genome, anatomy, cis-regulatory, development, morphogenesis, morphology, protein, molecular neuroanatomy resource, cis-regulatory sequence, gene expression, protein annotation, cell, expression profile, function, regulation, blast, visualization, data analysis service, clone, FASEB list | CNRS ; French Ministry of Research ; Marseille-Nice Genopole ; ARC ; European Network QLK3-CT-2001-01890 |
PMID:20647237 | nif-0000-10155 | http://crfb.univ-mrs.fr/aniseed/index.php | SCR_013030 | Aniseed database | 2026-09-12 01:00:15 | 63 | ||||||
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SNP2TFBS Resource Report Resource Website 1+ mentions |
SNP2TFBS (RRID:SCR_016885) | SNP2TFBS | data access protocol, data or information resource, database, software resource, web service | Collection of text files providing specific annotations for human single nucleotide polymorphisms (SNPs), namely whether they are predicted to abolish, create or change the affinity of one or several transcription factor (TF) binding sites. Used to investigate the molecular mechanisms underlying regulatory variation in the human genome. SNP2TFBS is also accessible over a web interface, enabling users to view the information provided for an individual SNP, to extract SNPs based on various search criteria, to annotate uploaded sets of SNPs or to display statistics about the frequencies of binding sites affected by selected SNPs. | collection, regulatory, single, polymorphism, SNP, affecting, predicted, transcription, factor, binding, site, affinity, data, human, nucleotide, genome | Swiss Institute of Bioinformatics ; Swiss National Science Foundation |
PMID:27899579 | Free, Freely available | SCR_016885 | Single Nucleotide Polymorphisms 2 Transcription Factor Binding Site, SNP2TFBS | 2026-09-12 01:00:19 | 8 | |||||||
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University of Manitoba Department of Plant Science Bio Information Technologies Lab Core Facility Resource Report Resource Website |
University of Manitoba Department of Plant Science Bio Information Technologies Lab Core Facility (RRID:SCR_017177) | University of Manitoba BIT Core Facility | access service resource, analysis service resource, core facility, data analysis service, data or information resource, production service resource, service resource, software resource | BIT Core at University of Manitoba, Manitoba, Canada, provides bioinformatics services, resources and collaborations. Support for Genome assembly and annotation, Microarray and Transcriptomics, Systems Biology and Pathway analysis, Databases, Data pipelines, Bioinformatics software, Custom software and programming, Project Wikis, Lab group computer management. | bioinformatics, genome, assembly, microarray, transcriptomics, pathway, data, analysis, management | Restricted | SCR_017177 | University of Manitoba, BIT, Bio Information Technologies Lab, Fritensky Lab, Canada, Department of Plant Science | 2026-09-12 01:00:20 | 0 | |||||||||
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LTRpred Resource Report Resource Website 1+ mentions |
LTRpred (RRID:SCR_017031) | data analysis software, data analytics software, data processing software, software application, software resource | Software package for automated functional annotation of LTR retrotransposons for comparative genomics studies. Used to perform de novo functional annotation of LTR retrotransposons from any genome assembly in fasta format. | LTR, retrotransposon, prediction, genome, assembly, functional, annotation | is related to: R Project for Statistical Computing | Free, Available to download, Freely available | https://hajkd.github.io/LTRpred/ | SCR_017031 | LTRpred(ict) | 2026-09-12 01:00:19 | 6 | ||||||||
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Diploidocus Resource Report Resource Website 1+ mentions |
Diploidocus (RRID:SCR_021231) | data analysis software, data processing software, sequence analysis software, software application, software resource, software toolkit | Software package for diploid genome assembly analysis. Sequence analysis toolkit for number of different analyses related to diploid genome assembly. | Diploid genome assembly analysis, genome, genome assembly, sequence analysis | uses: DepthSizer | Free, Available for download, Freely available | SCR_021231 | 2026-09-12 01:00:22 | 3 | ||||||||||
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Montana State University Bioinformatics Core Facility Resource Report Resource Website |
Montana State University Bioinformatics Core Facility (RRID:SCR_009937) | access service resource, core facility, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 27, 2023. Core for Microarray analysis, Database development, Systems biology analysis, Genome assembly, Pathway data analysis, Expression data analysis, Metagenomics analysis. To maintain equipment and software for bioinformatic research, promote bioinformatics education on the MSU campus, and provide training and support to biologists implementing bioinformatics tools in their research. | nucleic, acid, microarray, assay, database, development, analysis, genome, assembly, pathway, data, gene, expression, metagenomics |
is listed by: Eagle I has parent organization: Montana State University |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156405 | http://cores.montana.edu/bioinformatics/ | SCR_009937 | , Montana State University, core facility, MSU, Bioinformatics Core Laboratory | 2026-09-12 01:03:24 | 0 | |||||||
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Scripps Wellderly Genome Reference Resource Report Resource Website |
Scripps Wellderly Genome Reference (RRID:SCR_010250) | SWGR | data or information resource, data set | Whole genome sequencing data for 454 unrelated Scripps Wellderly Study participants with European ancestry from a project that is studying the genetic architecture of exceptional healthspan from a cohort comprised of more than 1300 healthy individuals over the age of 80 years. SWGR_v1.0 includes chromosome-specific VCF4.1 bgzipped and tabix indexed files. Annotations for each variant can be found at Scripps Genome ADVISER (SG-ADVISER, http://genomics.scripps.edu/) Additional data releases are expected. | genomics, genomic sequence, genome, female, male, late adult human | has parent organization: Scripps Translational Science Institute | Healthy aging, Aging, Healthy | Scripps Health; California; USA ; NCATS ScienceUL1 TR00114 |
Free, Public, Acknowledgement required | nlx_156888 | SCR_010250 | 2026-09-12 01:03:30 | 0 |
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