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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Flash Gviewer Resource Report Resource Website 1+ mentions |
Flash Gviewer (RRID:SCR_012870) | Flash GViewer | software resource | Flash GViewer is a customizable Flash movie that can be easily inserted into a web page to display each chromosome in a genome along with the locations of individual features on the chromosomes. It is intended to provide an overview of the genomic locations of a specific set of features - eg. genes and QTLs associated with a specific phenotype, etc. rather than as a way to view all features on the genome. The features can hyperlink out to a detail page to enable to GViewer to be used as a navigation tool. In addition the bands on the chromosomes can link to defineable URL and new region selection sliders can be used to select a specific chromosome region and then link out to a genome browser for higher resolution information. Genome maps for Rat, Mouse, Human and C. elegans are provided but other genome maps can be easily created. Annotation data can be provided as static text files or produced as XML via server scripts. This tool is not GO-specific, but was built for the purpose of viewing GO annotation data. Platform: Online tool | visualization, chromosome, video, gene, qtl, genome, navitgation, phenotype, ontology or annotation visualization |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Medical College of Wisconsin; Wisconsin; USA |
Free for academic use | nlx_149333 | http://gmod.org/flashgviewer | SCR_012870 | 2026-08-01 12:04:42 | 2 | |||||||
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IGB Resource Report Resource Website 100+ mentions |
IGB (RRID:SCR_011792) | IGB | software resource | An easy-to-use, highly customizable genome browser you can use to visualize and explore genomic data and annotations, including RNA-Seq, ChIP-Seq, tiling array data, and more. | genome, rna-seq, chip-seq, tiling array, browser |
is listed by: OMICtools has parent organization: University of North Carolina at Charlotte; North Carolina; USA |
PMID:19654113 | Free, Acknowledgement requested | OMICS_00916 | SCR_011792 | Integrated Genome Browser | 2026-08-01 12:04:18 | 336 | ||||||
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GenomeJack Resource Report Resource Website 10+ mentions |
GenomeJack (RRID:SCR_012026) | GenomeJack | software resource | A genome browser specialized in next-generation sequencing data. | next-generation sequencing, genome, browser, analysis | is listed by: OMICtools | Free, Public | OMICS_02143 | SCR_012026 | 2026-08-01 12:04:32 | 32 | ||||||||
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Thermo Fisher: GeneChip� Scanner 3000 7G Resource Report Resource Website 1+ mentions |
Thermo Fisher: GeneChip� Scanner 3000 7G (RRID:SCR_016522) | instrument resource | Scanner for microarray analysis to scan next-generation higher-density arrays, including SNP arrays, tiling arrays for transcription and all-exon arrays for whole-genome analysis. | Instrument, microarray, analysis, scan, next, generation, array, whole, genome, gene, chip | Commercially available | https://drive.google.com/file/d/1du6GBtNmdw3AWBFSjRx9YQMzbZWj4uAY/view?usp=drivesdk, https://drive.google.com/file/d/1du6GBtNmdw3AWBFSjRx9YQMzbZWj4uAY/view?usp=drivesdk | https://www.thermofisher.com/document-connect/document-connect.html?url=https://assets.thermofisher.com/TFS-Assets%2FGSD%2FDatasheets%2Fgenechip_scanner_3000_datasheet.pdf | SCR_016522 | 2026-08-01 12:05:40 | 1 | |||||||||
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3D Genome Resource Report Resource Website 10+ mentions |
3D Genome (RRID:SCR_017525) | service resource | Genome Browser for study of 3D genome organization and gene regulation and data visualization. Used to visualizing chromatin interaction data, browse other omics data such as ChIP-Seq or RNA-Seq for same genomic region, and gain complete view of both regulatory landscape and 3D genome structure for any given gene., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | 3D, genome, organization, gene, regulation, data, visualization, chromatin, interaction, omic, ChIPseq, RNAseq, regulatory, structure |
is related to: Encode has parent organization: Pennsylvania State University |
THIS RESOURCE IS NO LONGER IN SERVICE | SCR_017525 | 2026-08-01 12:06:15 | 20 | ||||||||||
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Biomol-Informatics Resource Report Resource Website 1+ mentions |
Biomol-Informatics (RRID:SCR_004081) | commercial organization | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 12, 2021. Technology based company in Madrid that offers consulting services on Bioinformatics in areas of research, diagnostics and pharmaceutical industry. | bioinformatics, genome sequencing, genome, sequencing, exome, protein-protein interaction, analysis, molecular dynamics, 3d modeling, evolutive information, training service resource, next generation sequencing, simulation, drug design, computational simulation, macromolecule, molecular dynamics, quantum mechanics, molecular mechanics, dna, protein |
is related to: European Gram Negative AntiBacterial Engine has parent organization: Autonomous University of Madrid; Madrid; Spain |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_158539, grid.432020.7, Wikidata Q30254873 | https://ror.org/057rd1163 | SCR_004081 | Biomol-Informatics SL | 2026-08-01 12:02:29 | 3 | |||||||
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MSG Resource Report Resource Website 1+ mentions |
MSG (RRID:SCR_004161) | MSG | software resource | A pipeline of scripts to assign ancestry to genomic segments using next-gen sequence data. This method can identify recombination breakpoints in a large number of individuals simultaneously at a resolution sufficient for most mapping purposes, such as quantitative trait locus (QTL) mapping and mapping of induced mutations. | next generation sequencing, genotyping, genetic mapping, ancestry, genome |
is listed by: OMICtools has parent organization: Princeton University; New Jersey; USA |
PMID:21233398 | OMICS_01551 | SCR_004161 | Multiplexed shotgun genotyping, Multiplexed shotgun genotyping (MSG), MSG: Multiplexed Shotgun Genotyping | 2026-08-01 12:02:31 | 2 | |||||||
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PerM Resource Report Resource Website 50+ mentions |
PerM (RRID:SCR_004223) | software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software package to perform highly efficient genome scale alignments for hundreds of millions of short reads produced by the ABI SOLiD and Illumina sequencing platforms. It capable of providing full sensitivity for alignments within 4 mismatches for 50bp SOLID reads and 9 mismatches for 100bp Illumina reads.Efficient mapping of short sequencing reads with periodic full sensitive spaced seeds. | Short sequencing mapping, short sequencing read, next-generation sequencing, genome, alignment, short read, abi, solid, illumina, , bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Clippers has parent organization: Google Code has parent organization: University of Southern California; Los Angeles; USA |
PMID:19675096 DOI:10.1093/bioinformatics/btp486 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00675, biotools:perm | https://bio.tools/perm, https://sources.debian.org/src/perm/ | SCR_004223 | PERiodic seed Mapping, Periodic seed Mapping | 2026-08-01 12:02:33 | 60 | ||||||
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ACT: Artemis Comparison Tool Resource Report Resource Website 10+ mentions |
ACT: Artemis Comparison Tool (RRID:SCR_004507) | ACT | software resource | A free tool for displaying pairwise comparisons between two or more DNA sequences. It can be used to identify and analyze regions of similarity and difference between genomes and to explore conservation of synteny, in the context of the entire sequences and their annotation. It is based on the software for Artemis, the genome viewer and annotation tool. ACT runs on UNIX, GNU/Linux, Macintosh and MS Windows systems. It can read complete EMBL and GENBANK entries or sequences in FASTA or raw format. Other sequence features can be in EMBL, GENBANK or GFF format. | dna sequence, genome, synteny, pairwise comparison |
is listed by: OMICtools has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Wellcome Trust | PMID:15976072 | GNU General Public License | OMICS_00928, nlx_48986 | SCR_004507 | Artemis Comparison Tool | 2026-08-01 12:02:42 | 46 | |||||
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PennCNV Resource Report Resource Website 100+ mentions |
PennCNV (RRID:SCR_002518) | PennCNV | software resource | A free software tool for Copy Number Variation (CNV) detection from SNP genotyping arrays. Currently it can handle signal intensity data from Illumina and Affymetrix arrays. With appropriate preparation of file format, it can also handle other types of SNP arrays and oligonucleotide arrays. PennCNV implements a hidden Markov model (HMM) that integrates multiple sources of information to infer CNV calls for individual genotyped samples. It differs form segmentation-based algorithm in that it considered SNP allelic ratio distribution as well as other factors, in addition to signal intensity alone. In addition, PennCNV can optionally utilize family information to generate family-based CNV calls by several different algorithms. Furthermore, PennCNV can generate CNV calls given a specific set of candidate CNV regions, through a validation-calling algorithm. | imaging genomics, copy number variation, snp, genotyping array, array, oligonucleotide, hidden markov model, genotype, genome |
is listed by: OMICtools is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: VegaMC is related to: OpenBioinformatics.org has parent organization: University of Pennsylvania; Philadelphia; USA |
NIMH MH604687 | PMID:17921354 | Free | OMICS_00729, nlx_155921 | http://www.openbioinformatics.org/penncnv/ |
http://www.neurogenome.org/cnv/penncnv | SCR_002518 | PennCNV: copy number variation detection | 2026-08-01 12:02:11 | 349 | |||
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NovelSeq Resource Report Resource Website |
NovelSeq (RRID:SCR_003136) | NovelSeq | software resource | Software pipeline to detect novel sequence insertions using high throughput paired-end whole genome sequencing data. | sequence, insertion, genome sequencing, genome, next-generation sequencing, illumina, unix, linux, c, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: SPLITREAD has parent organization: Simon Fraser University; British Columbia; Canada has parent organization: SourceForge |
PMID:20385726 | Free, Available for download, Freely available | biotools:novelseq, nlx_156791, OMICS_02164 | https://mybiosoftware.com/novelseq-1-0-2-sequence-insertions-detection.html#google_vignette | SCR_003136 | NovelSeq: Novel Sequence Insertion Detection | 2026-08-01 12:02:03 | 0 | |||||
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mrCaNaVaR Resource Report Resource Website 10+ mentions |
mrCaNaVaR (RRID:SCR_003135) | mrCaNaVaR | software resource | Copy number caller that analyzes the whole-genome next-generation sequence mapping read depth to discover large segmental duplications and deletions. It also has the capability of predicting absolute copy numbers of genomic intervals. | genome, next-generation sequence, duplication, deletion, copy number variant, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: SPLITREAD has parent organization: SourceForge |
Free, Freely available | OMICS_02138, nlx_156790, biotools:mrcanavar | https://bio.tools/mrcanavar | SCR_003135 | mrCaNaVaR - micro-read Copy Number Variant Regions, micro-read Copy Number Variant Regions | 2026-08-01 12:02:27 | 14 | ||||||
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deCODE genetics Resource Report Resource Website 50+ mentions |
deCODE genetics (RRID:SCR_003334) | deCODE | commercial organization | A biopharmaceutical company applying its discoveries in human genetics to develop drugs and diagnostics for common diseases. They specialize in gene discovery - their population approach and resources have enabled them to isolate key genes contributing to major public health challenges from cardiovascular disease to cancer. The company's genotyping capacity is now one of the highest in the world. They have a large population-based biobank containing whole blood and DNA samples with extensive relevant phenotypic information from around 120.000 Icelanders. In the company's work in more than 50 disease projects, their statistical and informatics departments have established themselves in data processing and analysis. deCODE genetics is widely recognized as a center of excellence in genetic research. | biopharmaceutical, genetics, drug, diagnostic, genotyping, phenotype, data processing, analysis, genetic variant, risk factor, genome, blood, dna, biobank, single nucleotide polymorphism |
is related to: EU-AIMS is related to: NEWMEDS |
Schizophrenia, Cardiovascular disease, Cancer, Type 2 diabetes, Atrial fibrillation, Heart attack | Free, Freely available | nif-0000-31959, ISNI: 0000 0004 0618 6889, grid.421812.c, Wikidata: Q493712 | https://ror.org/04dzdm737 | SCR_003334 | Islensk Erfdagreining EHF, Islensk Erfdagreining | 2026-08-01 12:02:20 | 57 | |||||
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Parseq Resource Report Resource Website 1+ mentions |
Parseq (RRID:SCR_003464) | Parseq | software resource | Statistical software for transcription landscape reconstruction at a basepair resolution from RNA Seq read counts. It is based on a state-space model which describes, in terms of abrupt shifts and more progressive drifts, the transcription level dynamics along the genome. Alongside variations of transcription level, it incorporates a component of short-range variation to pull apart local artifacts causing correlated dispersion. Reconstruction of the transcription level relies on a conditional sequential Monte Carlo approach that is combined with parameter estimation in a Markov chain Monte Carlo algorithm known as particle Gibbs. The method allows to estimate the local transcription level, to call transcribed regions, and to identify the transcript borders. | rna-seq, genome, transcription, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Sorbonne University; Paris; France |
PMID:24470570 | Free, Available for download, Freely available | biotools:parseq, OMICS_02302 | https://bio.tools/parseq | SCR_003464 | 2026-08-01 12:02:12 | 2 | ||||||
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EBCall Resource Report Resource Website 10+ mentions |
EBCall (RRID:SCR_006791) | EBCall | software resource | A software package for somatic mutation detection (including InDels). EBCall uses not only paired tumor/normal sequence data of a target sample, but also multiple non-paired normal reference samples for evaluating distribution of sequencing errors, which leads to an accurate mutaiton detection even in case of low sequencing depths and low allele frequencies. | mutation, cancer, genome, sequencing, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of Tokyo; Tokyo; Japan |
PMID:23471004 | Copyright conditions, Acknowledgement required | biotools:ebcall, OMICS_00084 | https://bio.tools/ebcall | SCR_006791 | EBCall (Empirical Baysian mutation Calling), Empirical Baysian mutation Calling | 2026-08-01 12:03:17 | 19 | |||||
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Genome Trax Resource Report Resource Website 1+ mentions |
Genome Trax (RRID:SCR_001234) | Genome Trax | service resource | Service that provides a comprehensive compilation of variant knowledge that allows you to identify pathogenic variants in human whole genome or exome sequences. It makes it easy to upload a complete genome?s worth of variations and identify the biologically relevant subset of known mutations, mutations that are novel and appear in a candidate disease genes, or mutations that are predicted to have a deleterious effect. The database includes a comprehensive collection of disease causing mutations from HGMD Professional, regulatory sites from TRANSFAC , and disease genes, drug targets and pathways from PROTEOME, as well as pharmacogenomic variants. It integrates the best public data-sets on somatic mutations, allele frequencies and clinical variants, in their most up-to-date version, for a total of more than 165 million annotations. It is possible to identify known pathogenic variants, remove harmless common variants, and obtain deleterious predictions for novel variants. With family data, it is possible to identify variants that are de novo, compound heterozygous only in the offspring. All of the results can be downloaded to Excel for further review. For core facilities and bioinformaticians, the complete underlying data is made available for download and easy integration into custom analysis pipelines. Genome Trax data is optimized to work with many other software packages, such as ANNOVARTM, CLC bio, Alamut, SimulConsult, and Cartagenia. | next-generation sequencing, genome, exome, sequence, variation, mutation, pathogenic, database, bio.tools, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: BIOBASE Corporation |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_02109, biotools:genome_trax | https://bio.tools/genome_trax | SCR_001234 | Genome Trax for Next Generation Sequencing | 2026-08-01 12:01:43 | 2 | ||||||
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TALLYMER Resource Report Resource Website 1+ mentions |
TALLYMER (RRID:SCR_001244) | Tallymer | software resource | A collection of flexible and memory-efficient software programs for k-mer counting and indexing of large sequence sets. It is based on enhanced suffix arrays which gives a much larger flexibility concerning the choice of the k-mer size. It can process large data sizes of several billion bases. | k-mer, counting, sequence, genome annotation, genome, annotation, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of Hamburg; Hamburg; Germany |
PMID:18976482 | Free, Freely available | biotools:tallymer, OMICS_02096 | https://bio.tools/tallymer | SCR_001244 | 2026-08-01 12:01:35 | 7 | ||||||
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ADMIXTURE Resource Report Resource Website 1000+ mentions |
ADMIXTURE (RRID:SCR_001263) | ADMIXTURE | software resource | A software tool for maximum likelihood estimation of individual ancestries from multilocus SNP genotype datasets. It uses the same statistical model as STRUCTURE but calculates estimates much more rapidly using a fast numerical optimization algorithm. It uses a block relaxation approach to alternately update allele frequency and ancestry fraction parameters. Each block update is handled by solving a large number of independent convex optimization problems, which are tackled using a fast sequential quadratic programming algorithm. Convergence of the algorithm is accelerated using a novel quasi-Newton acceleration method., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | ancestry, macos x, linux, admixture, allele, genome, single nucleotide polymorphism, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of California at Los Angeles; California; USA |
PMID:19648217 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:admixture, OMICS_02077 | http://www.genetics.ucla.edu/software/admixture/ | SCR_001263 | ADMIXTURE: fast ancestry estimation | 2026-08-01 12:01:26 | 2679 | |||||
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frappe Resource Report Resource Website 50+ mentions |
frappe (RRID:SCR_001264) | frappe | software resource | Software using a f frequentist approach for estimating individual ancestry proportion. | ancestry, admixture, genome, allele |
is listed by: OMICtools has parent organization: Stanford University School of Medicine; California; USA |
PMID:15712363 | Free, Available for download, Freely available | OMICS_02076 | SCR_001264 | 2026-08-01 12:01:45 | 55 | |||||||
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Wellcome Trust Case Control Consortium Resource Report Resource Website 100+ mentions |
Wellcome Trust Case Control Consortium (RRID:SCR_001973) | WTCCC | data or information resource | Consortium of 50 research groups across the UK to harness the power of newly-available genotyping technologies to improve our understanding of the aetiological basis of several major causes of global disease. The consortium has gathered genotype data for up to 500,000 sites of genome sequence variation (single nucleotide polymorphisms or SNPs) in samples ascertained for the disease phenotypes. Analysis of the genome-wide association data generated has lead to the identification of many SNPs and genes showing evidence of association with disease susceptibility, some of which will be followed up in future studies. In addition, the Consortium has gained important insights into the technical, analytical, methodological and biological aspects of genome-wide association analysis. The core of the study comprised an analysis of 2,000 samples from each of seven diseases (type 1 diabetes, type 2 diabetes, coronary heart disease, hypertension, bipolar disorder, rheumatoid arthritis and Crohn's disease). For each disease, the case samples have been ascertained from sites widely distributed across Great Britain, allowing us to obtain considerable efficiencies by comparing each of these case populations to a common set of 3,000 nationally-ascertained controls also from England, Scotland and Wales. These controls come from two sources: 1,500 are representative samples from the 1958 British Birth Cohort and 1,500 are blood donors recruited by the three national UK Blood Services. One of the questions that the WTCCC study has addressed relates to the relative merits of these alternative strategies for the generation of representative population cohorts. Genotyping for this main Case Control study was conducted by Affymetrix using the (commercial) Affymetrix 500K chip. As part of this study a total of 17,000 samples were typed for 500,000 SNPs. There are two additional components to the study. First, the WTCCC award is part-funding a study of host resistance to infectious diseases in African populations. The same approach has been used to type 2,000 cases of tuberculosis (TB) and 2,000 cases of malaria, as well as 2,000 shared controls. As well as addressing diseases of major global significance, and extending WTCCC coverage into the area of infectious disease, the inclusion of samples of African origin has obvious benefits with respect to methodological aspects of genome-wide association analysis. Second, the WTCCC has, for four additional diseases (autoimmune thyroid disease, breast cancer, ankylosing spondylitis, multiple sclerosis), completed an analysis of 15,000 SNPs designed to represent a large proportion of the known non-synonymous coding SNPs across the genome. This analysis has been performed at the WTSI using a custom Infinium chip (Illumina). Data release The genotypic data of the control samples (1958 British Birth Cohort and UK Blood Service) and from seven diseases analyzed in the main study are now available to qualified researchers. Summary genotype statistics for these collections are available directly from the website. Access to the individual-level genotype data and summary genotype statistics is by application to the Consortium Data Access Committee (CDAC) and approval subject to a Data Access Agreement. WTCCC2: A further round of GWA studies were funded in April 2008. These include 15 WTCCC-collaborative studies and 12 independent studies be supported totaling approximately 120,000 samples. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC2 will perform genome-wide association studies in 13 disease conditions: Ankylosing spondylitis, Barrett's oesophagus and oesophageal adenocarcinoma, glaucoma, ischaemic stroke, multiple sclerosis, pre-eclampsia, Parkinson's disease, psychosis endophenotypes, psoriasis, schizophrenia, ulcerative colitis and visceral leishmaniasis. WTCCC2 will also investigate the genetics of reading and mathematics abilities in children and the pharmacogenomics of statin response. Over 60,000 samples will be analyzed using either the Affymetrix v6.0 chip or the Illumina 660K chip. The WTCCC2 will also genotype 3,000 controls each from the 1958 British Birth cohort and the UK Blood Service control group, and the 6,000 controls will be genotyped on both the Affymetrix v6.0 and Illumina 1.2M chips. WTCCC3: The Wellcome Trust has provided support for a further round of GWA studies in January 2009. These include 5 WTCCC-collaborative studies to be carried out in WTCCC3 and 5 independent studies, across a range of diseases. Many of the studies represent major international collaborative networks that have together assembled large sample collections. WTCCC3 will perform genome-wide association studies in the following 4 disease conditions: primary biliary cirrhosis, anorexia nervosa, pre-eclampsia in UK subjects, and the interactions between donor and recipient DNA related to early and late renal transplant dysfunction. The WTCCC3 will also carry out a pilot in a study of the genetics of host control of HIV-1 infection. Over 40,000 samples will be analyzed using the Illumina 660K chip. The WTCCC3 will utilize the 6,000 control genotypes generated by the WTCCC2. | gene, genomic, genetics, microarray, genome-wide association study, snp, genome-wide association, blood, dna, genotype, variation, genome, sequence variant, copy number variation, genetic variation, phenotype, disease |
is related to: Psychiatric Genomics Consortium has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Bipolar disorder, Coronary artery disease, Crohn's disease, Rheumatoid arthritis, Type 1 diabetes, Type 2 diabetes, Hypertension, Control, Multiple sclerosis, Breast cancer, Ankylosing spondylitis, Autoimmune thyroid disease, Malaria, Tuberculosis, Inflammatory bowel disease, Barrett's esophagus, Esophageal adenocarcinoma, Glaucoma, Ischemic stroke, Pre-eclampsia, Parkinson's disease, Psychosis endophenotypes, Psoriasis, Schizophrenia, Ulcerative colitis, Visceral leishmaniasis, Primary biliary cirrhosis, Anorexia nervosa, Human immunodeficiency virus, Renal transplant dysfunction, Diabetes | Wellcome Trust ; Bill and Melinda Gates Foundation ; Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
PMID:17554300 | Access to summary data and individual-level genotype data is available by application to the Wellcome Trust Case Control Consortium Data Access Committee. Access to data will be granted to qualified investigators for appropriate use. | nif-0000-10551 | SCR_001973 | Wellcome Trust Case-Control Consortium (WTCCC) | 2026-08-01 12:01:40 | 213 |
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