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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
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GeneVito Resource Report Resource Website |
GeneVito (RRID:SCR_006211) | GeneVito | data processing software, data visualization software, software application, software resource | A JAVA-based computer application that serves as a workbench for genome-wide analysis through visual interaction. GeneViTo offers an inspectional view of genomic functional elements, concerning data stemming both from database annotation and analysis tools for an overall analysis of existing genomes. The application deals with various experimental information concerning both DNA and protein sequences (derived from public sequence databases or proprietary data sources) and meta-data obtained by various prediction algorithms, classification schemes or user-defined features. Interaction with a Graphical User Interface (GUI) allows easy extraction of genomic and proteomic data referring to the sequence itself, sequence features, or general structural and functional features. Emphasis is laid on the potential comparison between annotation and prediction data in order to offer a supplement to the provided information, especially in cases of poor annotation, or an evaluation of available predictions. Moreover, desired information can be output in high quality JPEG image files for further elaboration and scientific use. GeneViTo has already been applied to visualize the genomes of two microbial organisms: the bacterion Chlamydia trachomatis and the archaeon Methanococcus jannaschii. The application is compatible with Linux or Windows ME-2000-XP operating systems, provided that the appropriate Java Runtime Environment (Java 1.4.1) is already installed in the system. | java, genome-wide analysis, genome, visualization, gene, function, structure, dna, protein sequence, genomic, proteomic | has parent organization: University of Athens Biophysics and Bioinformatics Laboratory | PMID:14594459 | Free for academic use, Acknowledgement requested | nlx_151776 | SCR_006211 | SciCrunch Registry | GeneVito: Genome Visualization Tool, GeneViTo (Genome Visualization Tool), Genome Visualization Tool | 2026-10-10 12:37:20 | 0 | ||||||
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BioMedBridges Resource Report Resource Website 1+ mentions |
BioMedBridges (RRID:SCR_006179) | BioMedBridges | consortium, data or information resource, organization portal, portal | Consortium of 12 Biomedical sciences research infrastructure (BMS RI) partners to develop a shared e-infrastructure to allow interoperability between data and services in the biological, medical, translational and clinical domains (providing a complex knowledge environment comprising standards, ontologies, data and services) and thus strengthen biomedical resources in Europe. The BMS RIs are on the roadmap of the European Strategy Forum on Research Infrastructures (ESFRI). Connecting several European research infrastructures brings a diversity of ethical, legal and security concerns including data security requirements for participating e-Infrastructures that are storing or processing patient-related data (or biosamples): EATRIS, ECRIN, BBMRI, EuroBioImaging and EMBL-EBI. In addition, INSTRUCT is interested in secure sample transport and in intellectual property rights; Infrafrontier stores high-throughput data from mice. BBMRI with its focus on the availability of biomaterials is currently emphasizing aspects like k-anonymity and metadata management for its data. Sharing of imaging data by Euro-BioImaging poses challenges with respect to anonymisation and intellectual property. Therefore, an ethical, regulatory and security framework for international data sharing that covers these diverse areas and different types of data (e.g. clinical trials data, mouse data, and human genotype and DNA sequence data) is of crucial importance. The outcomes will lead to real and sustained improvement in the services the biomedical sciences research infrastructures offer to the research community. Data curation and sample description will be improved by the adoption of best practices and agreed standards. Many improvements will emerge from new interactions between RIs created by data linkage and networking. Ensuring access to relevant information for all life science researchers across all BMS RIs will enable scientists to conduct and share cutting-edge research. | clinical, biomedical, infrastructure, technology, biology, medicine, translational, data sharing, biobank, genetic, stem cell, clinical trial, imaging, genotype, dna sequence, standard specification, interoperability |
is listed by: Consortia-pedia is related to: Biobanking and Biomolecular Resources Research Infrastructure (BBMRI) has parent organization: European Bioinformatics Institute |
European Union FP7 Capacities Specific Programme 284209 | nlx_151726 | SCR_006179 | SciCrunch Registry | Building data bridges between biological and medical infrastructure in Europe (BioMedBridges), Building data bridges between biological and medical infrastructures in Europe, Building data bridges from biology to medicine in Europe | 2026-10-10 12:37:35 | 7 | |||||||
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deepSNV Resource Report Resource Website 10+ mentions |
deepSNV (RRID:SCR_006214) | deepSNV | software resource | Software package that provides quantitative variant callers for detecting subclonal mutations in ultra-deep (>=100x coverage) sequencing experiments. The algorithm is used for a comparative setup with a control experiment of the same loci and uses a beta-binomial model and a likelihood ratio test to discriminate sequencing errors and subclonal SNVs (single nucleotide variants). | data import, genetic variability, genetics, snp, sequencing, single nucleotide variant, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Bioconductor |
PMID:24443148 | GNU General Public License, v3 | OMICS_02239, biotools:deepsnv | https://bio.tools/deepsnv | SCR_006214 | SciCrunch Registry | deepSNV - Detection of subclonal SNVs in deep sequencing experiments | 2026-10-10 12:37:27 | 34 | |||||
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Mammalian Adult Neurogenesis Gene Ontology Resource Report Resource Website 50+ mentions |
Mammalian Adult Neurogenesis Gene Ontology (RRID:SCR_006176) | MANGO | controlled vocabulary, data or information resource, database, ontology | Database of genes concerning adult neurogenesis mapped to cell types and processes that have been curated from the literature. In its present state, the database is restricted to neurogenesis in the hippocampus. | adult neurogenesis, adult, neurogenesis, hippocampus, gene, annotation, cell type, process, FASEB list | has parent organization: Dresden University of Technology; Saxony; Germany | nlx_151684 | SCR_006176 | SciCrunch Registry | 2026-10-10 12:37:26 | 64 | |||||||||
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IRIS DMC FDSNWS station Web Service Resource Report Resource Website |
IRIS DMC FDSNWS station Web Service (RRID:SCR_006177) | FDSNWS Station, fdsnws-station, FDSNWS: station | data access protocol, software resource, web service | Web service that returns International Federation of Digital Seismograph Networks (FDSN) station metadata in FDSN StationXML format or as delimited text. Results are available at multiple levels of granularity: network, station, channel and response. Metadata may be selected based on channel descriptors, time ranges, geographic regions, and more. This service is an implementation of the FDSN web service specification version 1. | seismology, fdnws, station, metadata, time series, seed, wadl |
is listed by: CINERGI has parent organization: IRIS DMC Web Services |
SciRes_000179 | SCR_006177 | SciCrunch Registry | International Federation of Digital Seismograph Networks Web Service Station, IRIS FDSNWS Station, FDSNWS Station Web service, International Federation of Digital Seismograph Networks (FDSN) Web Service Station | 2026-10-10 12:37:19 | 0 | ||||||||
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Deciphering Developmental Disorders Resource Report Resource Website 10+ mentions |
Deciphering Developmental Disorders (RRID:SCR_006171) | DDD | biospecimen repository, data or information resource, disease-related portal, material storage repository, portal, research forum portal, service resource, storage service resource, topical portal | The Deciphering Developmental Disorders (DDD) study aims to find out if using new genetic technologies can help doctors understand why patients get developmental disorders. To do this we have brought together doctors in the 23 NHS Regional Genetics Services throughout the UK and scientists at the Wellcome Trust Sanger Institute, a charitably funded research institute which played a world-leading role in sequencing (reading) the human genome. The DDD study involves experts in clinical, molecular and statistical genetics, as well as ethics and social science. It has a Scientific Advisory Board consisting of scientists, doctors, a lawyer and patient representative, and has received National ethical approval in the UK. Over the next few years, we are aiming to collect DNA and clinical information from 12,000 undiagnosed children in the UK with developmental disorders and their parents. The results of the DDD study will provide a unique, online catalogue of genetic changes linked to clinical features that will enable clinicians to diagnose developmental disorders. Furthermore, the study will enable the design of more efficient and cheaper diagnostic assays for relevant genetic testing to be offered to all such patients in the UK and so transform clinical practice for children with developmental disorders. Over time, the work will also improve understanding of how genetic changes cause developmental disorders and why the severity of the disease varies in individuals. The Sanger Institute will contribute to the DDD study by performing genetic analysis of DNA samples from patients with developmental disorders, and their parents, recruited into the study through the Regional Genetics Services. Using microarray technology and the latest DNA sequencing methods, research teams will probe genetic information to identify mutations (DNA errors or rearrangements) and establish if these mutations play a role in the developmental disorders observed in patients. The DDD initiative grew out of the groundbreaking DECIPHER database, a global partnership of clinical genetics centres set up in 2004, which allows researchers and clinicians to share clinical and genomic data from patients worldwide. The DDD study aims to transform the power of DECIPHER as a diagnostic tool for use by clinicians. As well as improving patient care, the DDD team will empower researchers in the field by making the data generated securely available to other research teams around the world. By assembling a solid resource of high-quality, high-resolution and consistent genomic data, the leaders of the DDD study hope to extend the reach of DECIPHER across a broader spectrum of disorders than is currently possible. | microarray, sequencing, child, genome, chromosome, dna sequencing, ethics, interview, dna, saliva, clinical, genetics, gene, diagnosis, phenotype, clinical data, FASEB list |
is related to: DECIPHER has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Developmental disorder, Genetic disorder, Parent, Neurodevelopmental disorder, Congenital anomaly, Abnormal growth, Dysmorphic feature, Unusual behavioral phenotype | Wellcome Trust ; Health Innovation Challenge Fund |
PMID:21679367 | nlx_151673 | SCR_006171 | SciCrunch Registry | Deciphering Developmental Disorders (DDD) | 2026-10-10 12:37:35 | 42 | |||||
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crowdLabs Resource Report Resource Website 1+ mentions |
crowdLabs (RRID:SCR_006294) | crowdLabs | analysis service resource, community building portal, data analysis service, data or information resource, portal, production service resource, service resource, storage service resource | A social visualization repository for the scientific workflow management system VisTrails providing a platform for sharing and executing computational tasks. It adopts the model used by social Web sites and that integrates a set of usable tools and a scalable infrastructure to provide an environment for scientists to collaboratively analyze and visualize data. crowdLabs aims to foster collaboration but was specifically designed to support the needs of computational scientists, including the ability to access high-performance computers and manipulate large volumes of data. By providing mechanisms that simplify the publishing and use of analysis pipelines, it allows IT personnel and end users to collaboratively construct and refine portals. This lowers the barriers for the use of scientific analyses and enables broader audiences to contribute insights to the scientific exploration process, without the high costs incurred by traditional portals. In addition, it supports a more dynamic environment where new exploratory analyses can be added on-the-fly. | platform, computation, data sharing |
is listed by: FORCE11 is related to: VisTrails |
NSF | nif-0000-06716 | http://www.force11.org/node/4666 | SCR_006294 | SciCrunch Registry | crowd Labs | 2026-10-10 12:37:28 | 1 | ||||||
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VizHub Resource Report Resource Website 1+ mentions |
VizHub (RRID:SCR_006209) | VizHub | analysis service resource, data analysis service, data or information resource, portal, production service resource, service resource | A visualization hub displaying sequencing data from the Roadmap Epigenomics project. It hosts high volume of tracks from ENCODE and Roadmap Epigenomics projects, supports multiple organisms, visualizes chromatin-interaction data (e.g. Hi-C), performs gene set view, gene plot, and many others. All delivered on the web at high performance. | epigenomics, neandertal, genome, visualization, browser, sequencing |
uses: UCSC Genome Browser uses: Roadmap Epigenomics Project uses: ENCODE is related to: WashU Epigenome Browser has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA has parent organization: Roadmap Epigenomics Project |
nlx_151756 | SCR_006209 | SciCrunch Registry | Roadmap Epigenomics Visualization Hub, Visualization Hub | 2026-10-10 12:38:01 | 6 | ||||||||
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PHYLIP Resource Report Resource Website 1000+ mentions |
PHYLIP (RRID:SCR_006244) | PHYLIP | data processing software, software application, software resource, source code | A free package of software programs for inferring phylogenies (evolutionary trees). The source code is distributed (in C), and executables are also distributed. In particular, already-compiled executables are available for Windows (95/98/NT/2000/me/xp/Vista), Mac OS X, and Linux systems. Older executables are also available for Mac OS 8 or 9 systems. | phylogeny prediction, evolutionary tree, bio.tools |
is listed by: bio.tools is listed by: Debian is listed by: OMICtools is listed by: SoftCite has parent organization: University of Washington; Seattle; USA works with: PAML |
NSF ; NIGMS ; DOE |
Free | nif-0000-06708, OMICS_04240, biotools:phylip | https://bio.tools/phylip, https://sources.debian.org/src/phylip/ | SCR_006244 | SciCrunch Registry | PHYLogeny Inference Package | 2026-10-10 12:37:36 | 3544 | |||||
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Semantic MediaWiki Resource Report Resource Website 1+ mentions |
Semantic MediaWiki (RRID:SCR_006246) | SMW | software resource | A free, open-source extension to MediaWiki - the wiki software that powers Wikipedia - that helps to search, organize, tag, browse, evaluate, and share the wiki''s content. While traditional wikis contain only text which computers can neither understand nor evaluate, SMW adds semantic annotations that allow a wiki to function as a collaborative database. Semantic MediaWiki introduces some additional markup into the wiki-text which allows users to add semantic annotations to the wiki. While this first appears to make things more complex, it can also greatly simplify the structure of the wiki, help users to find more information in less time, and improve the overall quality and consistency of the wiki. A large number of related extensions have been created that extend the ability to edit, display and browse through the data stored by SMW: the term Semantic MediaWiki is sometimes used to refer to this entire family of extensions. | extension, wiki, semantic annotation, authoring tool |
is listed by: FORCE11 has parent organization: MediaWiki |
European Union | Open unspecified license | nif-0000-06677 | SCR_006246 | SciCrunch Registry | Semantic Media Wiki | 2026-10-10 12:38:01 | 3 | ||||||
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Human Imaging Database Resource Report Resource Website 1+ mentions |
Human Imaging Database (RRID:SCR_006126) | HID | data management software, data or information resource, data repository, database, image repository, service resource, software application, software resource, source code, storage service resource |
THIS RESOURCE IS NO LONGER IN SERVICE. Documented October 5, 2017. Database management system developed to handle the increasingly large and diverse datasets collected as part of the MBIRN and FBIRN collaboratories and throughout clinical imaging communities at large. The HID can be extended to contain relevant information concerning experimental subjects, assessments of subjects, the experimental data collected, the experimental protocols, and other metadata normally included with experiments. |
imaging, fmri, clinical, behavior, biomedical imaging data, mri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Cognitive Paradigm Ontology is related to: XCEDE Schema has parent organization: Biomedical Informatics Research Network |
Schizophrenia | PMID:19826494 PMID:18348946 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00269 | http://www.nitrc.org/projects/hid | http://fbirnbdr.nbirn.net:8080/BDR/ | SCR_006126 | SciCrunch Registry | fBIRN Data Repository, Human Imaging Database (HID) System, Function BIRN Data Repository | 2026-10-10 12:37:18 | 3 | |||
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pepStat Resource Report Resource Website 1+ mentions |
pepStat (RRID:SCR_006240) | software resource | Software for statistical analysis of peptide microarrays. It uses an integrated analytical method for analyzing peptide microarray antibody binding data, from normalization through subject-specific positivity calls and data integration and visualization. | standalone software | is listed by: OMICtools | PMID:23770318 | OMICS_04027 | SCR_006240 | SciCrunch Registry | 2026-10-10 12:37:27 | 8 | |||||||||
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ScerTF Resource Report Resource Website 10+ mentions |
ScerTF (RRID:SCR_006121) | ScerTF | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Catalog of over 1,200 position weight matrices (PWMs) for 196 different yeast transcription factors (TFs). They've curated 11 literature sources, benchmarked the published position-specific scoring matrices against in-vivo TF occupancy data and TF deletion experiments, and combined the most accurate models to produce a single collection of the best performing weight matrices for Saccharomyces cerevisiae. ScerTF is useful for a wide range of problems, such as linking regulatory sites with transcription factors, identifying a transcription factor based on a user-input matrix, finding the genes bound/regulated by a particular TF, and finding regulatory interactions between transcription factors. Enter a TF name to find the recommended matrix for a particular TF, or enter a nucleotide sequence to identify all TFs that could bind a particular region. | binding site, transcription factor, regulatory site, gene, regulation, regulatory interaction, matrix, nucleotide sequence, dna sequence, yeast, position weight matrix, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
NIGMS R01 GM078222; NHGRI HG00249 |
PMID:22140105 | biotools:scertf, nlx_151599, OMICS_00542 | http://ural.wustl.edu/ScerTF, https://bio.tools/scertf | http://ural.wustl.edu/TFDB/ | SCR_006121 | SciCrunch Registry | 2026-10-10 12:37:35 | 19 | |||||
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SitEx Resource Report Resource Website 1+ mentions |
SitEx (RRID:SCR_006122) | SitEx | 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 August 19,2019. Analyzing protein structure projection on exon-intron structure of corresponding gene through years led to several fundamental conclusions about structural and functional organization of the protein. According to these results we decided to map the protein functional sites. So we created the database SitEx that keep the information about this mapping and included the BLAST search and 3D similar structure search using PDB3DScan for the polypeptide encoded by one exon, participating in organizing the functional site. This will help: # to study the positions of the functional sites in exon structure; # to make the complex analysis of the protein function; # to exposure the exons that took part in exon shuffling and came from bacterial genomes; # to study the peculiarities of coding the polypeptide structures. Currently, SitEx contains information about 9994 functional sites presented in 2021 proteins described in proteomes of 17 organisms. | projection, protein, functional site, exon, blast, structure, function, gene, amino acid, encoding gene, proteome, ligand, data set, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools has parent organization: Institute of Cytology and Genetics of the Siberian Branch of the RAS; Novosibirsk; Russia |
Ministry of Science and Education 14.740.11.0001; Ministry of Science and Education 07.514.11.4003; Interdisciplinary Integrative Project 35 of SB RAS ; Russian Foundation for Basic Research 11-04-92712; EU-FP7 260429; Program of RAS ; DAAD Leonard Euler Program Grant |
PMID:22139920 | THIS RESOURCE IS NO LONGER IN SERVICE. | biotools:sitex, nlx_151602 | https://bio.tools/sitex | SCR_006122 | SciCrunch Registry | SitEx Database | 2026-10-10 12:38:00 | 1 | ||||
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PSCDB - Protein Structural Change DataBase Resource Report Resource Website |
PSCDB - Protein Structural Change DataBase (RRID:SCR_006116) | PSCDB | data or information resource, database, image collection | Database for protein structural change upon ligand binding that are classified into 7 classes in terms of the ligand binding sites and the location where the dominant motion occurs. # Coupled Domain motions are the domain motions induced upon ligand binding. # Independent Domain motions are the observable domain motions regardless of ligand binding. # Coupled Local motions are the local motions induced upon ligand binding. # Independent Local motions are the observable local motions regardless of ligand binding. # Burying ligand motions are imaginable motions required to hold ligand protein-inside. # No significant motions mean just nothing happen. # Other motions are motions unclassified into domain and local motions. Proteins are flexible molecules that undergo structural changes to function. The Protein Data Bank contains multiple entries for identical proteins determined under different conditions, e.g. with and without a ligand molecule, which provides important information for understanding the structural changes related to protein functions. We gathered 839 protein structural pairs of ligand-free and ligand-bound states from monomeric or homo-dimeric proteins, and constructed the Protein Structural Change DataBase (PSCDB). In the database, we focused on whether the motions were coupled with ligand binding. As a result, the protein structural changes were classified into seven classes, i.e. coupled domain motion (59 structural changes), independent domain motion (70), coupled local motion (125), independent local motion (135), burying ligand motion (104), no significant motion (311) and other type motion (35). PSCDB provides lists of each class. On each entry page, users can view detailed information about the motion, accompanied by a morphing animation of the structural changes. | protein, structure, ligand binding, ligand-free, ligand-bound, monomeric protein, homo-dimeric protein, animation, ligand, structural change | has parent organization: Nagoya University; Nagoya; Japan | Japanese Ministry of Education Culture Sports Science and Technology MEXT 20370063; Japanese Ministry of Education Culture Sports Science and Technology MEXT 21107523 |
PMID:22080505 PMID:21376729 |
nlx_151591 | SCR_006116 | SciCrunch Registry | Protein Structural Change DataBase (PSCDB), Protein Structural Change DataBase | 2026-10-10 12:37:18 | 0 | ||||||
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Regulation of Transcription Ontology Resource Report Resource Website |
Regulation of Transcription Ontology (RRID:SCR_006238) | RETO | controlled vocabulary, data or information resource, ontology | An application ontology for the domain of gene transcription regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, KEGG and orthology relations. | obo | is listed by: BioPortal | nlx_157573 | SCR_006238 | SciCrunch Registry | 2026-10-10 12:38:01 | 0 | |||||||||
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Proteome Commons Resource Report Resource Website 10+ mentions |
Proteome Commons (RRID:SCR_006234) | Proteome Commons | community building portal, data or information resource, data repository, database, portal, service resource, software resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A public resource for sharing general proteomics information including data (Tranche repository), tools, and news. Joining or creating a group/project provides tools and standards for collaboration, project management, data annotation, permissions, permanent storage, and publication. | proteomics, protein, peptide, data sharing, data, tool, news, annotation, proteome, genome |
is listed by: re3data.org has parent organization: University of Michigan; Ann Arbor; USA is parent organization of: Proteome Commons Tranche repository |
NCI ; Clinical Proteomics Technologies for Cancer ; NCRR P41-RR018627 |
PMID:20356086 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151800 | SCR_006234 | SciCrunch Registry | ProteomeCommons.org, ProteomeCommons | 2026-10-10 12:37:20 | 12 | |||||
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XNAT Central Resource Report Resource Website 10+ mentions |
XNAT Central (RRID:SCR_006235) | XNAT Central | data or information resource, data repository, database, image repository, service resource, storage service resource | Online repository of open access images including MR Sessions, MRI, Freesurfer APARC, Freesurfer ASEGs, Clinical Assessments, Atlas Scaling Factors, and Fast Segmentations data. CENTRAL currently contains 374 Projects, 3808 Subjects, and 5174 Imaging Sessions (June 2014). Central is powered by XNAT (The Extensible Neuroimaging Archive Toolkit), an open source software platform designed to facilitate management and exploration of neuroimaging and related data. XNAT includes a secure database backend and a rich web-based user interface. | magnetic resonance, pet, computed tomography, neuroimaging, mri, computer axial tomography imaging protocol, freesurfer aparc, freesurfer aseg, clinical assessment, atlas scaling factor, fast segmentation, image collection, clinical |
is used by: NITRC-IR is used by: NIF Data Federation is used by: Integrated Datasets is listed by: re3data.org is related to: Morphometry BIRN is related to: XNAT - The Extensible Neuroimaging Archive Toolkit has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
Free, Freely available | nif-0000-04375, r3d100010874 | https://doi.org/10.17616/R3533H | SCR_006235 | SciCrunch Registry | Extensible Neuroimaging Archive Toolkit CENTRAL | 2026-10-10 12:37:36 | 48 | ||||||
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Predictive Networks Resource Report Resource Website |
Predictive Networks (RRID:SCR_006110) | PN | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource, software resource, source code | A flexible, open-source, web-based application and data services framework that enables the integration, navigation, visualization and analysis of gene interaction networks. The primary goal of PN is to allow biomedical researchers to evaluate experimentally derived gene lists in the context of large-scale gene interaction networks. The PN analytical pipeline involves two key steps. The first is the collection of a comprehensive set of known gene interactions derived from a variety of publicly available sources. The second is to use these ''known'' interactions together with gene expression data to infer robust gene networks. The regression-based network inference algorithm creates a graph of gene interactions in which cycles may be present (but no self-loops). Based on information-theoretic techniques, a causal gene interaction network is inferred from both prior knowledge (interactions extracted from biomedical literature and structured biological databases) and gene expression data. A prediction model is fitted for each gene, given its parents, enabling assessment of the predictive ability of the network model. | gene interaction network, gene, interaction, gene expression, graph, visualization, gene interaction, gene network, predictive network analysis, model, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools has parent organization: Dana-Farber Cancer Institute has parent organization: SourceForge |
NLM 1R01LM010129 | PMID:22096235 | Apache License, v2 | nlx_151582, biotools:predictivenetworks | https://bio.tools/predictivenetworks | SCR_006110 | SciCrunch Registry | 2026-10-10 12:38:00 | 0 | |||||
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estMOI Resource Report Resource Website 10+ mentions |
estMOI (RRID:SCR_006192) | estMOI | software resource | A per-based software to estimate multiplicity of infection (MOI) in parasite genomic sequence data. It is primarily developed to address the limitations of current laboratory (PCR) based estimates of multiplicity using high throughput sequence data. It requires a BAM (alignment output of short reads to the reference genome), VCF (a file with information on variant calls) and FASTA (reference genome) files. # Short reads are aligned to a reference genome using BWA, BOWTIE, SMALT or other short read aligners to generate a BAM file. # Single Nucleotide Polymorphisms (SNPs) are then identified using SAMTools/BCFtools and stored in the VCF format. # The reference FASTA file is expected to be indexed using ''samtools faidx'' to generate a *.fai file. estMOI generates files containing MOI estimates for each SNP combinations (file with name *.log) and a summary for all chromosomes (file with name *.txt). | multiplicity of infection, parasite, genome, high throughput sequencing, single nucleotide polymorphism, chromosome | is listed by: OMICtools | PMID:24443379 | Free, Public | OMICS_02240 | SCR_006192 | SciCrunch Registry | estMOI - Estimating multiplicity of infection using parasite deep sequencing data | 2026-10-10 12:38:00 | 10 |
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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