Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Psychiatric Genomics Consortium Resource Report Resource Website 100+ mentions |
Psychiatric Genomics Consortium (RRID:SCR_004495) | PGC | data repository, storage service resource, community building portal, computational hosting, data analysis service, portal, analysis service resource, consortium, data or information resource, production service resource, organization portal, service resource | Consortium conducting meta-analyses of genome-wide genetic data for psychiatric disease. Focused on autism, attention-deficit hyperactivity disorder, bipolar disorder, major depressive disorder, schizophrenia, anorexia nervosa (AN), Tourette syndrome (TS), and obsessive-compulsive disorder (OCD). Used to investigate common single nucleotide polymorphisms (SNPs) genotyped on commercial arrays, structural variation (copy number variation) and uncommon or rare genetic variation. To participate you are asked to upload data from your study to central computer used by this consortium. Genetic Cluster Computer serves as data warehouse and analytical platform for this study . When data from your study have been incorporated, account will be provided on central server and access to all GWAS genotypes, phenotypes, and meta-analytic results relevant to deposited data and participation aims. NHGRI GWAS Catalog contains updated information about all GWAS in biomedicine, and is usually excellent starting point to find comprehensive list of studies. Files can be obtained by any PGC member for any disease to which they contributed data. These files can also be obtained by application to NIMH Genetics Repository. Individual-level genotype and phenotype data requires application, material transfer agreement, and informed consent consideration. Some datasets are also in controlled-access dbGaP and Wellcome Trust Case-Control Consortium repositories. PGC members can also receive back cleaned and imputed data and results for samples they contributed to PGC analyses. | structural variation, genetic variation, single nucleotide polymorphism, attention deficit-hyperactivity disorder, bipolar disorder, schizophrenia, mental disease, one mind ptsd, data sharing, visualization, genome-wide association study, genomic, genotype, phenotype, psychiatry, gwas, copy number variation, FASEB list |
is related to: Ricopili is related to: GWAS: Catalog of Published Genome-Wide Association Studies is related to: NCBI database of Genotypes and Phenotypes (dbGap) is related to: Wellcome Trust Case Control Consortium has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA |
Mental disease, Attention deficit-hyperactivity disorder, Bipolar Disorder, Schizophrenia, Major Depressive Disorder, Autism, Cross-disorder | Netherlands Genetic Cluster Computer ; Hersenstichting Nederland ; NIMH |
PMID:20955924 PMID:19895722 PMID:19648536 PMID:19339359 PMID:19002139 |
Restricted | nlx_143769 | https://pgc.unc.edu/ | SCR_004495 | Psychiatric Genomics Consortium, PGC, Psychiatric GWAS Consortium | 2026-02-14 02:00:41 | 104 | |||
|
TRACK TBI Network Resource Report Resource Website |
TRACK TBI Network (RRID:SCR_004723) | TRACK TBI Network | knowledge environment, data or information resource, narrative resource, standard specification | Network evaluating consensus-based common data elements (CDE) for traumatic brain injury (TBI) and psychological health (TBI-CDE, www.commondataelements.ninds.nih.gov/TBI.aspx) while extensively phenotyping a cohort of TBI patients across the injury spectrum from concussion to coma. Institutions that participate in the TBI Network will be able to track the outcomes of patients through a 3, 6 and 12-month followup program and compare outcomes with other participating institutions. For the three acute care centers, patients were enrolled that presented to the emergency department within 24 hours of head injury and required computed tomography (CT). For the rehabilitation center, referrals from acute hospitals were enrolled. Patients were consented to participate in components: clinical profile; blood draws for measurement of proteomic and genomic markers; 3T MRI within 2 weeks; three-month Glasgow Outcome Scale-Extended (GOS-E); and six-month TBI-CDE Core outcome assessments. A web-enabled database, imaging repository, and biospecimen bank was developed using the TBI-CDE recommendations. A total of 605 patients were enrolled. Of these subjects, 88% had a GCS 13-15, 5% had a GCS 9-12, and 7% had a GCS of 8 or less. Three-month GOS-E''s were obtained for 78% of the patients. Comprehensive 6-month outcome measures, including PTSD assessment, are ongoing until September 2011. Blood specimens were collected from 450 patients. Initial CTs for 605 patients and 235 patients with 3T MRI studies were transferred to an imaging repository. The TRACK TBI Network will provide qualified institutions access to a web-based version of key forms in tracking TBI outcomes for Quality Improvement and institutional benchmarking. | traumatic brain injury, concussion, coma, psychological health, common data element, head injury, mri, computed tomography, post-traumatic stress disorder, clinical, neuroimage, genomic, proteomic, outcome data, clinical data, marker, blood, glasgow outcome scale-extended, one mind tbi, one mind ptsd, image, image collection, benchmark, biomaterial supply resource, database, outcome | is listed by: One Mind Biospecimen Bank Listing | Traumatic brain injury | NINDS ; NIDRR ; Defense and Veterans Brain Injury Center ; Defense Centers of Excellence for Psychological Health and Traumatic Brain Injury |
Access to a web-based version of key forms is available to qualified institutions. | nlx_143882 | http://www.tracktbi.net/tracktbi/ | SCR_004723 | Traumatic Brain Injury Network, Transforming Research and Clinical Knowledge in Traumatic Brain Injury Network, TBI Network, Transforming Research and Clinical Knowledge in Traumatic Brain Injury: Multicenter Implementation of the TBI Common Data Elements | 2026-02-14 02:00:44 | 0 | ||||
|
Jackson Laboratory Resource Report Resource Website 10000+ mentions |
Jackson Laboratory (RRID:SCR_004633) | JAX | institution | An independent, nonprofit organization focused on mammalian genetics research to advance human health. Their mission is to discover the genetic basis for preventing, treating, and curing human disease, and to enable research for the global biomedical community. Jackson Laboratory breeds and manages colonies of mice as resources for other research institutions and laboratories, along with providing software and techniques. Jackson Lab also conducts genetic research and provides educational material for various educational levels. | genomic, disease, mouse model, human disease, biomaterial manufacture |
is listed by: One Mind Biospecimen Bank Listing is affiliated with: Integrative Human Microbiome Project is related to: ScienceExchange is related to: Federation of International Mouse Resources is related to: MGI strains is related to: One Mind Biospecimen Bank Listing is related to: Beta Cell Biology Consortium is related to: Mouse Mutagenesis Center for Developmental Defects is related to: GenomeMUSter is parent organization of: Mouse Models For Alzheimer's Disease Research is parent organization of: Type 1 Diabetes Resource is parent organization of: MouseCyc is parent organization of: Special Mouse Strains Resource is parent organization of: Gene Weaver is parent organization of: Mouse Phenome Database (MPD) is parent organization of: Jackson Laboratory Cytogenetic Models Resource is parent organization of: Parkinson's Disease Mouse Model Resource is parent organization of: Eye mutant resource - The Jackson Laboratory is parent organization of: Brainbow mouse resource at Jackson Labs is parent organization of: Short Course on the Genetics of Addiction is parent organization of: JAX Cre Repository is parent organization of: Donate a strain to The Jackson Laboratory Repository is parent organization of: Jackson Laboratory Neurobiology is parent organization of: QTL Archive is parent organization of: Mouse Genome Informatics: The Gene Ontology Project is parent organization of: Mouse Genome Informatics (MGI) is parent organization of: Mouse Tumor Biology Database is parent organization of: Gene Expression Database is parent organization of: The Jackson Laboratory Hearing Research Program is parent organization of: JAX Mice: Neural Tube Defects is parent organization of: JAX Neuroscience Mutagenesis Facility is parent organization of: Induced Mutant Resource is parent organization of: Mouse Mutant Resource is parent organization of: Mouse Genome Database is parent organization of: Mutant Mouse Resource and Research Center is parent organization of: eMouseAtlas is parent organization of: GBRS is parent organization of: Jackson Laboratory Scientific Instrument Services Core Facility provides: Knockout Mouse Project Repository |
Types 1 diabetes, Type 2 diabetes, Diabetes, Cardiovascular diseases, Metabolic disease, Cancer, Rare disease, Alzheimer's disease, Demantia | Available to the research community, Available to the educational community | nlx_63162, ISNI: 0000 0004 0374 0039, grid.249880.f, Crossref funder ID: 100005946 | https://ror.org/021sy4w91 | SCR_004633 | JAX Lab, Jackson Lab | 2026-02-14 02:01:00 | 14831 | |||||
|
European Genome phenome Archive Resource Report Resource Website 500+ mentions |
European Genome phenome Archive (RRID:SCR_004944) | EGA | data repository, storage service resource, web service, data set, data or information resource, service resource, data access protocol, software resource | Web service for permanent archiving and sharing of all types of personally identifiable genetic and phenotypic data resulting from biomedical research projects. The repository allows you to explore datasets from numerous genotype experiments, supplied by a range of data providers. The EGA''s role is to provide secure access to the data that otherwise could not be distributed to the research community. The EGA contains exclusive data collected from individuals whose consent agreements authorize data release only for specific research use or to bona fide researchers. Strict protocols govern how information is managed, stored and distributed by the EGA project. As an example, only members of the EGA team are allowed to process data in a secure computing facility. Once processed, all data are encrypted for dissemination and the encryption keys are delivered offline. The EGA also supports data access only for the consortium members prior to publication. | phenomenon, trait, sequence, genotype, experiment, case-control, population, family study, snp, cnv, phenotype, genomic, gold standard, bio.tools |
is used by: Blueprint Epigenome is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: European Bioinformatics Institute |
PMID:34791407 | Restricted | BioTools:ega, biotools:ega, r3d100011242, OMICS_01028, nlx_91316 | https://ega-archive.org/ https://bio.tools/ega https://bio.tools/ega https://doi.org/10.17616/R3W619 |
SCR_004944 | , The European Genome-phenome Archive, The European Genome-phenome Archive (EGA), EGA | 2026-02-14 02:01:01 | 605 | |||||
|
Ivy Glioblastoma Atlas Project Resource Report Resource Website 100+ mentions |
Ivy Glioblastoma Atlas Project (RRID:SCR_005044) | Ivy GAP | data or information resource, image collection, atlas, database | Platform for exploring the anatomic and genetic basis of glioblastoma at the cellular and molecular levels that includes two interactive databases linked together by de-identified tumor specimen numbers to facilitate comparisons across data modalities: * The open public image database, here, providing in situ hybridization data mapping gene expression across the anatomic structures inherent in glioblastoma, as well as associated histological data suitable for neuropathological examination * A companion database (Ivy GAP Clinical and Genomic Database) offering detailed clinical, genomic, and expression array data sets that are designed to elucidate the pathways involved in glioblastoma development and progression. This database requires registration for access. The hope is that researchers all over the world will mine these data and identify trends, correlations, and interesting leads for further studies with significant translational and clinical outcomes. The Ivy Glioblastoma Atlas Project is a collaborative partnership between the Ben and Catherine Ivy Foundation, the Allen Institute for Brain Science and the Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment. | glioblastoma, in situ hybridization, hematoxylin and eosin stain, brain, tumor, gene expression, anatomic structure, histology, clinical, genomic, expression array, gene, FASEB list | has parent organization: Allen Institute for Brain Science | Brain cancer, Cancer | Ben and Catherine Ivy Foundation | nlx_99161 | SCR_005044 | 2026-02-14 02:00:50 | 126 | |||||||
|
Cloudbreak Resource Report Resource Website |
Cloudbreak (RRID:SCR_005097) | software resource | Software providing a Hadoop-based genomic structural variation (SV) caller for Illumina paired-end DNA sequencing data. It contains a full pipeline for aligning data in the form of FASTQ files using alignment pipelines that generate many possible mappings for every read, in the Hadoop framework. It then contains Hadoop jobs for computing genomic features from the alignments, and for calling insertion and deletion variants from those features. | illumina, mapreduce, insertion, deletion, genomic | is listed by: OMICtools | OMICS_04078 | SCR_005097 | 2026-02-14 02:01:02 | 0 | ||||||||||
|
Velvet Resource Report Resource Website 1000+ mentions |
Velvet (RRID:SCR_010755) | Velvet | sequence analysis software, data processing software, data analysis software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software package as de novo genomic assembler for short read sequencing technologies using de Bruijn graphs. Takes in short read sequences, removes errors, then produces high quality unique contigs, retrieves repeated areas between contigs. Can leverage very short reads in combination with read pairs to produce useful assemblies. Operating system Unix/Linux., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | de novo, genomic, assembly, short, read, sequencing, de Bruijn, graph, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Velvet-SC is related to: shovill has parent organization: European Bioinformatics Institute |
EMBL | PMID:18349386 DOI:10.1101/gr.074492.107 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00038, biotools:velvet | https://www.ebi.ac.uk/~zerbino/velvet/ https://bio.tools/velvet https://sources.debian.org/src/velvet/ |
SCR_010755 | 2026-02-14 02:02:02 | 1036 | |||||
|
HOMER Resource Report Resource Website 5000+ mentions |
HOMER (RRID:SCR_010881) | HOMER | sequence analysis software, data processing software, data analysis software, software application, software resource | Software tools for Motif Discovery and next-gen sequencing analysis. Used for analyzing ChIP-Seq, GRO-Seq, RNA-Seq, DNase-Seq, Hi-C and numerous other types of functional genomics sequencing data sets. Collection of command line programs for unix style operating systems written in Perl and C++. | motif, discovery, next, generation, sequencing, analysis, genomic, data |
is listed by: OMICtools is related to: findMotif.pl has parent organization: University of California at San Diego; California; USA |
NURSA consortium grant ; NIH HC088093; NIDDK DK063491; NCI CA52599; NIGMS P50 GM081892; Foundation Leducq Transatlantic Network Grant |
PMID:20513432 | OMICS_00483 | http://biowhat.ucsd.edu/homer/index.html | SCR_010881 | HOMER, Hypergeometric Optimization of Motif EnRichment, Homer, Homer v4.5 | 2026-02-14 02:02:07 | 5370 | |||||
|
TagCleaner Resource Report Resource Website 50+ mentions |
TagCleaner (RRID:SCR_011846) | software resource, standalone software, software application, web application | A software tool which can automatically detect and efficiently remove tag sequences from genomic and metagenomic datasets. | tag sequence, standalone software, web application, microbiome, genomic, metagenomic, datasets |
is listed by: OMICtools is listed by: Human Microbiome Project has parent organization: SourceForge |
Available for download | OMICS_01094 | SCR_011846 | 2026-02-14 02:02:28 | 63 | |||||||||
|
Distributed Annotation System Resource Report Resource Website 10+ mentions |
Distributed Annotation System (RRID:SCR_008427) | data or information resource, software resource, narrative resource, standard specification | The Distributed Annotation System (DAS) defines a communication protocol used to exchange annotations on genomic or protein sequences. It is motivated by the idea that such annotations should not be provided by single centralized databases, but should instead be spread over multiple sites. Data distribution, performed by DAS servers, is separated from visualization, which is done by DAS clients. The advantages of this system are that control over the data is retained by data providers, data is freed from the constraints of specific organisations and the normal issues of release cycles, API updates and data duplication are avoided. DAS is a client-server system in which a single client integrates information from multiple servers. It allows a single machine to gather up sequence annotation information from multiple distant web sites, collate the information, and display it to the user in a single view. Little coordination is needed among the various information providers. DAS is heavily used in the genome bioinformatics community. Over the last years we have also seen growing acceptance in the protein sequence and structure communities. A DAS-enabled website or application can aggregate complex and high-volume data from external providers in an efficient manner. For the biologist, this means the ability to plug in the latest data, possibly including a user''s own data. For the application developer, this means protection from data format changes and the ability to add new data with minimal development cost. Here are some examples of DAS-enabled applications or websites for end users: :- Dalliance Experimental Web/Javascript based Genome Viewer :- IGV Integrative Genome Viewer java based browser for many genomes :- Ensembl uses DAS to pull in genomic, gene and protein annotations. It also provides data via DAS. :- Gbrowse is a generic genome browser, and is both a consumer and provider of DAS. :- IGB is a desktop application for viewing genomic data. :- SPICE is an application for projecting protein annotations onto 3D structures. :- Dasty2 is a web-based viewer for protein annotations :- Jalview is a multiple alignment editor. :- PeppeR is a graphical viewer for 3D electron microscopy data. :- DASMI is an integration portal for protein interaction data. :- DASher is a Java-based viewer for protein annotations. :- EpiC presents structure-function summaries for antibody design. :- STRAP is a STRucture-based sequence Alignment Program. Hundreds of DAS servers are currently running worldwide, including those provided by the European Bioinformatics Institute, Ensembl, the Sanger Institute, UCSC, WormBase, FlyBase, TIGR, and UniProt. For a listing of all available DAS sources please visit the DasRegistry. Sponsors: The initial ideas for DAS were developed in conversations with LaDeana Hillier of the Washington University Genome Sequencing Center. | annotation, database, software, genomic, protein, sequence, visualization, data, client-server, integration, bioinformatics, genome, structure, data integration |
is listed by: 3DVC has parent organization: Uppsala University; Uppsala; Sweden |
Howard Hughes Medical Institute ; NHGRI 2-P01-HG00956 |
nif-0000-30177 | SCR_008427 | BioDAS | 2026-02-14 02:01:38 | 11 | ||||||||
|
Augustus Resource Report Resource Website 1000+ mentions |
Augustus (RRID:SCR_008417) | sequence analysis software, data processing software, web application, data analysis software, software application, software resource | Software for gene prediction in eukaryotic genomic sequences. Serves as a basis for further steps in the analysis of sequenced and assembled eukaryotic genomes. | software, gene, prediction, eucaryotic, genomic, sequence |
is used by: BRAKER is used by: BRO_annotation is listed by: Debian is listed by: OMICtools is listed by: SoftCite works with: Gsnap2Augustus |
Deutsche Forschungsgemeinschaft (DFG) HO4545/1-1;; STA1009/6-1 ; Institute for Mathematics and Computer Science ; Ernst Moritz Arndt University of Greifswald |
PMID:23700307 DOI:10.1093/bioinformatics/btw494 |
Free, Available for download, Freely available | SCR_015981, OMICS_07777, nif-0000-30133 | https://sources.debian.org/src/autodock-vina/ | SCR_008417 | Augustus: Gene Prediction, WebAUGUSTUS, Augustus, Augustus [gene prediction] | 2026-02-14 02:01:38 | 3542 | |||||
|
HAP-SAMPLE Resource Report Resource Website 1+ mentions |
HAP-SAMPLE (RRID:SCR_009234) | HAP-SAMPLE | data analysis service, analysis service resource, production service resource, service resource, software application, software resource | Web application for simulating SNP genotypes for case-control and affected-child trio studies by resampling from Phase I/II HapMap SNP data. The user provides a list of SNPs to be genotyped, along with a disease model file that describes causal SNPs and their effect sizes. The simulation tool is appropriate for candidate regions or whole-genome scans. (entry from Genetic Analysis Software) | gene, genetic, genomic, web-based | is listed by: Genetic Analysis Software | nlx_154392 | SCR_009234 | 2026-02-14 02:01:40 | 4 | |||||||||
|
R/QTLBIM Resource Report Resource Website 1+ mentions |
R/QTLBIM (RRID:SCR_009375) | software resource, software library, software toolkit, software application | Software library for QTL Bayesian Interval Mapping that provides a Bayesian model selection approach to map multiple interacting QTL. It works on experimentally inbred lines and performs a genome-wide search to locate multiple potential QTL. The package can handle continuous, binary and ordinal traits. (entry from Genetic Analysis Software) | gene, genetic, genomic, r, bio.tools |
is listed by: Genetic Analysis Software is listed by: bio.tools is listed by: Debian |
nlx_154597, biotools:qtlbim | http://www.ssg.uab.edu/qtlbim/index.jsp https://cran.r-project.org/src/contrib/Archive/qtlbim/ https://bio.tools/qtlbim |
http://www.qtlbim.org/ | SCR_009375 | 2026-02-14 02:01:49 | 2 | ||||||||
|
PRISM (Stanford database) Resource Report Resource Website 10000+ mentions |
PRISM (Stanford database) (RRID:SCR_005375) | PRISM | data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5,2022.Tool that predicts interactions between transcription factors and their regulated genes from binding motifs. Understanding vertebrate development requires unraveling the cis-regulatory architecture of gene regulation. PRISM provides accurate genome-wide computational predictions of transcription factor binding sites for the human and mouse genomes, and integrates the predictions with GREAT to provide functional biological context. Together, accurate computational binding site prediction and GREAT produce for each transcription factor: 1. putative binding sites, 2. putative target genes, 3. putative biological roles of the transcription factor, and 4. putative cis-regulatory elements through which the factor regulates each target in each functional role., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | genomic, transcription factor, function, transcription factor binding site, transcription factor regulator, biological role, target gene, target genomic region, genome, FASEB list |
is listed by: OMICtools is listed by: SoftCite is related to: GREAT: Genomic Regions Enrichment of Annotations Tool has parent organization: Stanford University School of Medicine; California; USA |
PMID:23382538 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00489 | SCR_005375 | Predicting Regulatory Information from Single Motifs | 2026-02-14 02:01:06 | 40813 | ||||||
|
MolBioLib Resource Report Resource Website |
MolBioLib (RRID:SCR_005372) | MolBioLib | software resource | A compact, portable, and extensively tested C++11 software framework and set of applications tailored to the demands of next-generation sequencing data and applicable to many other applications. It is designed to work with common file formats and data types used both in genomic analysis and general data analysis. A central relational-database-like Table class is a flexible and powerful object to intuitively represent and work with a wide variety of tabular datasets, ranging from alignment data to annotations. MolBioLib includes programs to perform a wide variety of analysis tasks such as computing read coverage, annotating genomic intervals, and novel peak calling with a wavelet algorithm. This package assumes fluency in both UNIX and C++. | c++, next-generation sequencing, genomic, analysis, genome |
is listed by: OMICtools has parent organization: SourceForge |
PMID:22815363 | OMICS_01145 | SCR_005372 | MolBioLib: C++11 framework for rapid develop and deploy of bioinformatic tasks | 2026-02-14 02:00:53 | 0 | |||||||
|
KGGSeq Resource Report Resource Website 50+ mentions |
KGGSeq (RRID:SCR_005311) | KGGSeq | software resource | A biological Knowledge-based mining platform for Genomic and Genetic studies using Sequence data. The software platform, constituted of bioinformatics and statistical genetics functions, makes use of valuable biologic resources and knowledge for sequencing-based genetic mapping of variants / genes responsible for human diseases / traits. It facilitates geneticists to fish for the genetic determinants of human diseases / traits in the big sea of DNA sequences. KGGSeq has paid attention to downstream analysis of genetic mapping. The framework was implemented to filter and prioritize genetic variants from whole exome sequencing data. | genomic, genetic, sequence, mutation, exome sequencing, disease, gene, variant, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
Monogenic disorder, Cancer | PMID:22241780 | biotools:kggseq, OMICS_02260 | https://bio.tools/kggseq | SCR_005311 | KGGSeq: A biological Knowledge-based mining platform for Genomic and Genetic studies using Sequence data | 2026-02-14 02:00:52 | 53 | |||||
|
Hydra Resource Report Resource Website 100+ mentions |
Hydra (RRID:SCR_005260) | Hydra | software resource | Software that detects structural variation (SV) breakpoints by clustering discordant paired-end alignments whose signatures corroborate the same putative breakpoint. Hydra can detect breakpoints caused by all classes of structural variation. Moreover, it was designed to detect variation in both unique and duplicated genomic regions; therefore, it will examine paired-end reads having multiple discordant alignments. Hydra does not attempt to classify SV breakpoints based on the mapping distances and orientations of each breakpoint cluster, it merely detects and reports breakpoints. This is an intentional decision, as it was observed that in loci affected by complex rearrangements, the type of variant suggested by the breakpoint signature is not always correct. Hydra does report the orientations, distances, number of supporting read-pairs, etc., for each breakpoint. It is suggested that downstream methods be used to classify variants based on the genomic features that they overlap and the co-occurrence of other breakpoints. For example, they developed BEDTools for exactly this purpose and the breakpoints reported by Hydra are in the BEDPE format used by BEDTools. Future releases of Hydra will include scripts that assist in the classification process. | structural variation, genome, genomic, breakpoint, c++, cnv, pem, paired-end, segmental duplication, rearrangement |
is listed by: OMICtools is listed by: SoftCite is related to: BEDTools has parent organization: Google Code has parent organization: University of Virginia; Virginia; USA |
OMICS_00318 | SCR_005260 | hydra-sv | 2026-02-14 02:01:05 | 115 | ||||||||
|
CpG MPs Resource Report Resource Website |
CpG MPs (RRID:SCR_005441) | CpG_MPs | data analysis service, analysis service resource, production service resource, service resource, software resource | Tool for identification and analysis of CpG methylation patterns of genomic regions from high-throughput bisulfite sequencing data. It may identify the unmethylated and methylated regions for a single sample, the conserved and differential methylation regions with different methylation patterns for paired or multiple samples. It includes four main modules as follows: # Normalization of the sequencing reads of cytosines following guanines; # Identification of the unmethylated (methylated) regions using hotspot extension algorithm; # Identification of conservatively and differentially methylated regionsby combining the combinatorial algorithm for determination of potentially functional regions with the algorithm of analysis of variance (ANOVA) for assess the statistical significance of differentially methylated regions; # Extraction of sequence features and visualization of these potentially functional regions. | genomic methylation pattern, genomic, methylation pattern, java |
is listed by: OMICtools has parent organization: Harbin Medical University; Heilongjiang; China |
OMICS_00596 | SCR_005441 | CpG_MPs: identification of CpG methylation patterns of genomic regions | 2026-02-14 02:00:55 | 0 | ||||||||
|
GARBAN Resource Report Resource Website |
GARBAN (RRID:SCR_005778) | GARBAN | data analysis service, analysis service resource, production service resource, source code, service resource, software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 12, 2012. GARBAN is a tool for analysis and rapid functional annotation of data arising from cDNA microarrays and proteomics techniques. GARBAN has been implemented with bioinformatic tools to rapidly compare, classify, and graphically represent multiple sets of data (genes/ESTs, or proteins), with the specific aim of facilitating the identification of molecular markers in pathological and pharmacological studies. GARBAN has links to the major genomic and proteomic databases (Ensembl, GeneBank, UniProt Knowledgebase, InterPro, etc.), and follows the criteria of the Gene Ontology Consortium (GO) for ontological classifications. Source may be shared: e-mail garban (at) ceit.es. Platform: Online tool | cdna microarray, proteomics, cdna, microarray, statistical analysis, gene, est, protein, genomic, gene ontology |
is listed by: Gene Ontology Tools is related to: Gene Ontology |
PMID:14594726 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149247 | http://garban.tecnun.es | SCR_005778 | Genomic Analysis and Rapid Biological ANnotation, University of Navarra; Pamplona; Spain | 2026-02-14 02:01:10 | 0 | |||||
|
FunCluster Resource Report Resource Website 1+ mentions |
FunCluster (RRID:SCR_005774) | FunCluster | data analysis software, software resource, data processing software, software application | FunCluster is a genomic data analysis algorithm which performs functional analysis of gene expression data obtained from cDNA microarray experiments. Besides automated functional annotation of gene expression data, FunCluster functional analysis aims to detect co-regulated biological processes through a specially designed clustering procedure involving biological annotations and gene expression data. FunCluster''''s functional analysis relies on Gene Ontology and KEGG annotations and is currently available for three organisms: Homo Sapiens, Mus Musculus and Saccharomyces Cerevisiae. FunCluster is provided as a standalone R package, which can be run on any operating system for which an R environment implementation is available (Windows, Mac OS, various flavors of Linux and Unix). Download it from the FunCluster website, or from the worldwide mirrors of CRAN. FunCluster is provided freely under the GNU General Public License 2.0. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | genomic, gene, functional analysis, gene expression, cdna microarray, cdna, microarray, function, cluster, annotation, biological process, statistical analysis, bio.tools |
is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: Cordelier Research Center |
PMID:17007070 PMID:16506959 PMID:16046292 |
Free for academic use, GNU General Public License, v2 | nlx_149242, biotools:funcluster | https://bio.tools/funcluster | SCR_005774 | FunCluster R Package, FunCluster Algorithm | 2026-02-14 02:00:58 | 2 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the nidm-terms Resources search. From here you can search through a compilation of resources used by nidm-terms and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that nidm-terms has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on nidm-terms then you can log in from here to get additional features in nidm-terms such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into nidm-terms you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
