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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Allele Biotechnology Resource Report Resource Website 1+ mentions |
Allele Biotechnology (RRID:SCR_003164) | Allele Biotech | commercial organization | A private company offering a wide variety of Molecular Biology reagents, fluorescent proteins, luciferase assay substrates, genotyping kits, and various custom services. The company isalso in the RNAi field with its recent patents in Pol III promoter-driven siRNA, shRNA, and miRNA. They introduced high titer lentivirus, camelid antibodies, and cell based assays and also offer Baculovirus protein expression and Gryphon retrovirus systems. | molecular biology, reagent, fluorescent protein, luciferase assay substrate, genotyping kit, custom service | is related to: Phoenix | Free, Available for download, Freely available | nlx_156865 | SCR_003164 | Allele Biotechnology and Pharmaceuticals Inc | 2026-09-19 12:50:13 | 1 | |||||||
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Solas Resource Report Resource Website 1+ mentions |
Solas (RRID:SCR_003168) | data analysis software, data processing software, sequence analysis software, software application, software resource, source code | Software package for the statistical language R, devoted to the analysis of next generation short read data of RNA-seq transcripts. It provides predictions of alternative exons in a single condition/cell sample, predictions of differential alternative exons between two conditions/cell samples, and quantification of alternative splice forms in a single condition/cell sample. | r statistical package, rna seq, exon prediction, exon splicing, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: R Project for Statistical Computing has parent organization: Max Planck Institute for Molecular Genetics; Berlin; Germany |
Free, Available for download, Freely available | biotools:solas, OMICS_01339 | https://bio.tools/solas | SCR_003168 | 2026-09-19 12:50:13 | 8 | ||||||||
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GenePattern Resource Report Resource Website 1000+ mentions |
GenePattern (RRID:SCR_003201) | GenePattern | data analysis software, data processing software, software application, software resource | A powerful genomic analysis platform that provides access to hundreds of tools for gene expression analysis, proteomics, SNP analysis, flow cytometry, RNA-seq analysis, and common data processing tasks. A web-based interface provides easy access to these tools and allows the creation of multi-step analysis pipelines that enable reproducible in silico research. | gene expression, analysis, genomic, pattern, proteomics, silico, snp, workflow, analysis pipeline, flow cytometry, rna-seq, data processing, bio.tools |
is listed by: bio.tools is listed by: Debian is listed by: SoftCite is affiliated with: GenePattern Notebook is related to: TIGRESS has parent organization: Broad Institute |
NCI ; NIGMS |
PMID:16642009 | Free, Freely available | biotools:genepattern, OMICS_01855, nif-0000-30654 | https://bio.tools/genepattern | SCR_003201 | 2026-09-19 12:50:14 | 1135 | |||||
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rDiff Resource Report Resource Website 1+ mentions |
rDiff (RRID:SCR_003162) | data analysis software, data processing software, sequence analysis software, software application, software resource | Software tool for detecting differential RNA processing from RNA-Seq data. It implements two statistical tests, rDiff.parametric and rDiff.nonparametric, to detect changes of the RNA processing between two samples. | differential rna processing, rna processing, rna seq | is listed by: OMICtools | PMID:23585274 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01338 | SCR_003162 | 2026-09-19 12:50:18 | 7 | ||||||||
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PIRSF Resource Report Resource Website 10+ mentions |
PIRSF (RRID:SCR_003352) | PIRSF | data or information resource, database, narrative resource, standard specification | A SuperFamily classification system, with rules for functional site and protein name, to facilitate the sensible propagation and standardization of protein annotation and the systematic detection of annotation errors. The PIRSF concept is being used as a guiding principle to provide comprehensive and non-overlapping clustering of UniProtKB sequences into a hierarchical order to reflect their evolutionary relationships. The PIRSF classification system is based on whole proteins rather than on the component domains; therefore, it allows annotation of generic biochemical and specific biological functions, as well as classification of proteins without well-defined domains. There are different PIRSF classification levels. The primary level is the homeomorphic family, whose members are both homologous (evolved from a common ancestor) and homeomorphic (sharing full-length sequence similarity and a common domain architecture). At a lower level are the subfamilies which are clusters representing functional specialization and/or domain architecture variation within the family. Above the homeomorphic level there may be parent superfamilies that connect distantly related families and orphan proteins based on common domains. Because proteins can belong to more than one domain superfamily, the PIRSF structure is formally a network. The FTP site provides free download for PIRSF. | protein annotation, classification, protein, superfamily, functional site, protein name, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: UniProtKB has parent organization: Protein Information Resource |
NHGRI U01-HG02712; NSF DBI-0138188; NSF ITR-0205470 |
PMID:19455212 PMID:14681371 |
Free, Freely available | biotools:pirsf, OMICS_01697, nif-0000-03294 | https://bio.tools/pirsf | http://pir.georgetown.edu/pirsf/ | SCR_003352 | PIR SuperFamily, Protein Information Resource SuperFamily | 2026-09-19 12:50:17 | 32 | |||
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MouseNET Resource Report Resource Website 1+ mentions |
MouseNET (RRID:SCR_003357) | mouseNet | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | A functional network for laboratory mouse based on integration of diverse genetic and genomic data. It allows the users to accurately predict novel functional assignments and network components. MouseNET uses a probabilistic Bayesian algorithm to identify genes that are most likely to be in the same pathway/functional neighborhood as your genes of interest. It then displays biological network for the resulting genes as a graph. The nodes in the graph are genes (clicking on each node will bring up SGD page for that gene) and edges are interactions (clicking on each edge will show evidence used to predict this interaction). Most likely, the first results to load on the results page will be a list of significant Gene Ontology terms. This list is calculated for the genes in the biological network created by the mouseNET algorithm. If a gene ontology term appears on this list with a low p-value, it is statistically significantly overrepresented in this biological network. The graph may be explored further. As you move the mouse over genes in the network, interactions involving these genes are highlighted.If you click on any of the highlighted interactions graph, evidence pop-up window will appear. The Evidence pop-up lists all evidence for this interaction, with links to the papers that produced this evidence - clicking these links will bring up the relevant source citation(s) in PubMed. | gene, network, mouse, protein function, visualization, open reading frame, graph |
is listed by: OMICtools is related to: Gene Ontology is related to: mouseMAP has parent organization: Princeton University; New Jersey; USA |
NSF DBI-0546275; NIGMS R01 GM071966; NSF IIS-0513552; NIGMS P50 GM071508 |
PMID:18818725 | Free, Freely available | OMICS_01550, nif-0000-32003 | SCR_003357 | MouseNET | 2026-09-19 12:50:18 | 3 | |||||
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Niftilib Resource Report Resource Website 1+ mentions |
Niftilib (RRID:SCR_003355) | Niftilib | software library, software resource, software toolkit, source code | Niftilib is a set of i/o libraries for reading and writing files in the nifti-1 data format. nifti-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. Niftilib currently has C, Java, MATLAB, and Python libraries; we plan to add some MATLAB/mex interfaces to the C library in the not too distant future. Niftilib has been developed by members of the NIFTI DFWG and volunteers in the neuroimaging community and serves as a reference implementation of the nifti-1 file format. In addition to being a reference implementation, we hope it is also a useful i/o library. Niftilib code is released into the public domain, developers are encouraged to incorporate niftilib code into their applications, and, to contribute changes and enhancements to niftilib. Please contact us if you would like to contribute additonal functionality to the i/o library. | image data, mri, fmri, brain image, image, brain, neuroimaging |
is related to: NIfTI Data Format Working Group has parent organization: SourceForge |
Free, Available for download, Freely available | nif-0000-32011 | SCR_003355 | The Nifti Libraries, Nifti Libraries | 2026-09-19 12:50:20 | 3 | |||||||
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Allelic Variations of The XP Genes Resource Report Resource Website 1+ mentions |
Allelic Variations of The XP Genes (RRID:SCR_003376) | Allelic Variations of the XP Genes | data or information resource, data repository, database, service resource, storage service resource | Interactive repository of mutations and other allelic variations of the genes involved in the DNA repair disorders, Xeroderma Pigmentosum (XP), Cockayne Syndrome (CS), Trichothiodystrophy (TTD), and other UV-sensitivity disorders. Any omitted data or new data may be submitted by using the on-line data submission form. There is a message board system to support discussions amongst those interested in XP and DNA Repair. RESOURCES * Educational module of the molecular biology of Nucleotide Excision Repair * Introduction to the DNA Repair disorders (XP, CS, TTD, UVs) * Background on each of the XP genes * A searchable database of mutations and sequence variations for the XP genes * Contact point for the submission of new mutation data * Discussion Forums and a Guest Book * Web Links to Additional Resources | nucleotide excision repair, dna, excision, function, gene, allele, cell, sensitivity, trichothiodystrophy, ultra violet, variation, xeroderma pigmentosum, pigment, mutation, allelic variation, dna repair | has parent organization: University of California at San Francisco; California; USA | DNA repair disorder, Xeroderma Pigmentosum, Cockayne Syndrome, Trichothiodystrophy, UV-sensitivity disorder | Xeroderma Pigmentosum Society | PMID:10447254 | Free, Freely available | nif-0000-32042 | SCR_003376 | xpmutations.org | 2026-09-19 12:50:18 | 2 | ||||
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Fisher BioReagents Resource Report Resource Website 1000+ mentions |
Fisher BioReagents (RRID:SCR_003374) | commercial organization | An Antibody supplier | Free, Freely available | nlx_152364 | SCR_003374 | 2026-09-19 12:50:18 | 1475 | |||||||||||
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GBSA Resource Report Resource Website 1+ mentions |
GBSA (RRID:SCR_003413) | GBSA | software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 28,2025. Software for analyzing whole-genome bisulfite sequencing data. |
is listed by: OMICtools has parent organization: National University of Singapore; Singapore; Singapore |
PMID:23268441 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00600 | SCR_003413 | Genome-Wide Bisulfite Sequencing Analyser Software, GBSA - Genome-Wide Bisulfite Sequencing Analyser Software | 2026-09-19 12:50:19 | 2 | |||||||
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FMA Resource Report Resource Website 1+ mentions |
FMA (RRID:SCR_003379) | FMA | controlled vocabulary, data analysis software, data or information resource, data processing software, database, ontology, software application, software resource | A domain ontology that represents a coherent body of explicit declarative knowledge about human anatomy. It is concerned with the representation of classes or types and relationships necessary for the symbolic representation of the phenotypic structure of the human body in a form that is understandable to humans and is also navigable, parseable and interpretable by machine-based systems. Its ontological framework can be applied and extended to all other species. The description of how the OWL version was generated is in Pushing the Envelope: Challenges in a Frame-Based Representation of Human Anatomy by N. F. Noy, J. L. Mejino, C. Rosse, M. A. Musen: http://bmir.stanford.edu/publications/view.php/pushing_the_envelope_challenges_in_a_frame_based_representation_of_human_anatomy The Foundational Model of Anatomy ontology has four interrelated components: # Anatomy taxonomy (At), # Anatomical Structural Abstraction (ASA), # Anatomical Transformation Abstraction (ATA), # Metaknowledge (Mk), The ontology contains approximately 75,000 classes and over 120,000 terms; over 2.1 million relationship instances from over 168 relationship types link the FMA's classes into a coherent symbolic model. | anatomy, informatics, model, neuroanatomy, protg, reference, standard, structural, taxonomy, owl, phenotype |
is listed by: BioPortal is related to: T3DB is related to: HIV Brain Sequence Database is related to: CELDA Ontology has parent organization: University of Washington; Seattle; USA |
RSNA-NIBIB ; University of Washington; Washington; USA ; Murdock Charitable Trust ; Microsoft ; Intel Corporation ; NLM LM006822; NLM LM06316; NLM contract LM03528; NHLBI HL08770 |
PMID:18688289 PMID:18360535 PMID:16779026 |
Free, Freely available | nif-0000-00066 | http://bioportal.bioontology.org/ontologies/FMA | SCR_003379 | Foundational Model of Anatomy Ontology, Foundational Model of Anatomy | 2026-09-19 12:50:18 | 8 | ||||
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Statistics Online Computational Resource Resource Report Resource Website 10+ mentions |
Statistics Online Computational Resource (RRID:SCR_003378) | SOCR | data or information resource, narrative resource, software application, software resource, software toolkit, training material | A hierarchy of portable online interactive aids for motivating, modernizing probability and statistics applications. The tools and resources include a repository of interactive applets, computational and graphing tools, instructional and course materials. The core SOCR educational and computational components include the following suite of web-based Java applets: * Distributions (interactive graphs and calculators) * Experiments (virtual computer-generated games and processes) * Analyses (collection of common web-accessible tools for statistical data analysis) * Games (interfaces and simulations to real-life processes) * Modeler (tools for distribution, polynomial and spectral model-fitting and simulation) * Graphs, Plots and Charts (comprehensive web-based tools for exploratory data analysis), * Additional Tools (other statistical tools and resources) * SOCR Java-based Statistical Computing Libraries * SOCR Wiki (collaborative Wiki resource) * Educational Materials and Hands-on Activities (varieties of SOCR educational materials), * SOCR Statistical Consulting In addition, SOCR provides a suite of tools for volume-based statistical mapping (http://wiki.stat.ucla.edu/socr/index.php/SOCR_EduMaterials_AnalysesCommandLine) via command-line execution and via the LONI Pipeline workflows (http://www.nitrc.org/projects/pipeline). Course instructors and teachers will find the SOCR class notes and interactive tools useful for student motivation, concept demonstrations and for enhancing their technology based pedagogical approaches to any study of variation and uncertainty. Students and trainees may find the SOCR class notes, analyses, computational and graphing tools extremely useful in their learning/practicing pursuits. Model developers, software programmers and other engineering, biomedical and applied researchers may find the light-weight plug-in oriented SOCR computational libraries and infrastructure useful in their algorithm designs and research efforts. The three types of SOCR resources are: * Interactive Java applets: these include a number of different applets, simulations, demonstrations, virtual experiments, tools for data visualization and analysis, etc. All applets require a Java-enabled browser (if you see a blank screen, see the SOCR Feedback to find out how to configure your browser). * Instructional Resources: these include data, electronic textbooks, tutorials, etc. * Learning Activities: these include various interactive hands-on activities. * SOCR Video Tutorials (including general and tool-specific screencasts). | probability, statistics, instruction, statistical computing, applet, computational tool, graphing tool, course material, computation, java, statistical mapping, graphing, computational neuroscience, java, loni pipeline, educator, student, tool developer |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: University of California at Los Angeles; California; USA |
NIH Roadmap for Medical Research ; NSF 0442992; NSF DUE 0716055; NSF 1023115; NCRR U54 RR021813 |
PMID:21451741 PMID:21297884 |
Free, Freely available | nif-0000-32655 | http://www.nitrc.org/projects/socr | SCR_003378 | 2026-09-19 12:50:18 | 13 | |||||
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Proteomics Identifications (PRIDE) Resource Report Resource Website 500+ mentions |
Proteomics Identifications (PRIDE) (RRID:SCR_003411) | PRIDE | data or information resource, data repository, database, service resource, storage service resource | Centralized, standards compliant, public data repository for proteomics data, including protein and peptide identifications, post-translational modifications and supporting spectral evidence. Originally it was developed to provide a common data exchange format and repository to support proteomics literature publications. This remit has grown with PRIDE, with the hope that PRIDE will provide a reference set of tissue-based identifications for use by the community. The future development of PRIDE has become closely linked to HUPO PSI. PRIDE encourages and welcomes direct user submissions of protein and peptide identification data to be published in peer-reviewed publications. Users may Browse public datasets, use PRIDE BioMart for custom queries, or download the data directly from the FTP site. PRIDE has been developed through a collaboration of the EMBL-EBI, Ghent University in Belgium, and the University of Manchester. | proteomics, protein, peptide, mass spectrometry, annotation, standard, spectra, protein-protein interaction, amino acid, amino acid sequence, post-translational modification, biomart, bio.tools |
is used by: ProteomeXchange is used by: BioSample Database at EBI is recommended by: NIDDK Information Network (dkNET) is listed by: Biositemaps is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: HUPO Proteomics Standards Initiative is related to: ProteomeXchange has parent organization: European Bioinformatics Institute |
Wellcome Trust WT085949MA; European Union FP7 LSHG-CT-2006-036814; European Union FP7 260558; European Union FP7 262067; European Union FP7 202272; BBSRC BB/I024204/1 |
PMID:23203882 PMID:19662629 |
Free, Available for download, Freely available | nif-0000-03336, biotools:pride, r3d100011515 | https://www.ebi.ac.uk/pride/archive/, https://bio.tools/pride, https://doi.org/10.17616/R3F330 | SCR_003411 | PRoteomics IDEntifications database, PRIDE Archive - proteomics data repository, PRIDE Archive, PRIDE, Proteomics Identifications, Proteomics Identifications (PRIDE), PRoteomics IDEntifications database (PRIDE) | 2026-09-19 12:50:20 | 811 | ||||
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caTRIP Resource Report Resource Website 1+ mentions |
caTRIP (RRID:SCR_003409) | caTRIP | data analysis software, data processing software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE documented June 4, 2013. Allows users to query across a number of caBIG data services, join on common data elements (CDEs), and view results in a user-friendly interface. With an initial focus on enabling outcomes analysis, caTRIP allows clinicians to query across data from existing patients with similar characteristics to find treatments that were administered with success. In doing so, caTRIP can help inform treatment and improve patient care, as well as enable the searching of available tumor tissue, enable locating patients for clinical trials, and enable investigating the association between multiple predictors and their corresponding outcomes such as survival caTRIP relies on the vast array of open source caBIG applications, including: * Tumor Registry, a clinical system that is used to collect endpoint data * cancer Text Information Extraction System (caTIES), a locator of tissue resources that works via the extraction of clinical information from free text surgical pathology reports. while using controlled terminologies to populate caBIG-compliant data structures * caTissue CORE, a tissue bank repository tool for biospecimen inventory, tracking, and basic annotation * Cancer Annotation Engine (CAE), a system for storing and searching pathology annotations * caIntegrator, a tool for storing, querying, and analyzing translational data, including SNP data Requires Java installation and network connectivity. | element, clinical, patient, structure, tissue, trial, tumor, common data element, clinician, data technician, java, outcomes research, ctsa | has parent organization: Cancer Biomedical Informatics Grid | NCI | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-33400 | SCR_003409 | 2026-09-19 12:50:19 | 2 | |||||||
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ALDEx2 Resource Report Resource Website 500+ mentions |
ALDEx2 (RRID:SCR_003364) | software resource | Software tool to examine compositional high-throughput sequence data with Welch's t-test. A differential relative count abundance analysis for the comparison of two conditions. For example, single-organism and meta-rna-seq high-throughput sequencing assays, or of selected and unselected values from in-vitro sequence selections. Uses a Dirichlet-multinomial model to infer abundance from counts, that has been optimized for three or more experimental replicates. Infers sampling variation and calculates the expected Benjamini-Hochberg false discovery rate given the biological and sampling variation using several parametric and non-parametric tests. Can to glm and Kruskal-Wallace tests on one-way ANOVA style designs. | standalone software, r, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: aldex has parent organization: Western University; Ontario; Canada |
PMID:24910773 | Free, Available for download, Freely available | biotools:aldex2, OMICS_04634 | https://bio.tools/aldex2 | SCR_003364 | 2026-09-19 12:50:18 | 609 | |||||||
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RCircos Resource Report Resource Website 100+ mentions |
RCircos (RRID:SCR_003310) | software resource | Software package that provides a simple and flexible way to generate Circos 2D track plot images for genomic data visualization. The types of plots include: heatmap, histogram, lines, scatterplot, tiles and plot items for further decorations include connector, link (lines and ribbons), and text (gene) label. All functions require only R graphics package that comes with R base installation. | standalone software, unix/linux, mac os x, windows, r |
is listed by: OMICtools is related to: shinyCircoss has parent organization: CRAN has parent organization: Bitbucket |
PMID:23937229 | Free, Available for download, Freely available | OMICS_04661 | https://bitbucket.org/henryhzhang/rcircos/ | SCR_003310 | RCircos: Circos 2D Track Plot | 2026-09-19 12:50:16 | 285 | ||||||
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ddCt Resource Report Resource Website 100+ mentions |
ddCt (RRID:SCR_003396) | ddCt | software resource | Software package providing an approximation method to determine relative gene expression with quantitative real-time PCR (qRT-PCR) experiments. It requires no standard curve for each primer-target pair, therefore reducing the working load and yet returning accurate enough results as long as the assumptions of the amplification efficiency hold. The package implements a pipeline to collect, analyze and visualize qRT-PCR results, for example those from TaqMan SDM software, mainly using the ddCt method. The pipeline can be either invoked by a script in command-line or through the API consisting of S4-Classes, methods and functions. | differential expression, gene expression, microtitre plate assay, q-pcr |
is listed by: OMICtools has parent organization: Bioconductor |
Free, Available for download, Freely available | OMICS_02312 | SCR_003396 | Delta-Delta-Ct | 2026-09-19 12:50:20 | 328 | |||||||
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MedScan Resource Report Resource Website 10+ mentions |
MedScan (RRID:SCR_003314) | data acquisition software, data processing software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023. MedScan is a fast and flexible biomedical information extraction technology. It uses dictionaries to identify individual biomedical terms (proteins, cellular processes, small molecules, diseases, etc) referred to in literature articles, and applies advanced natural language processing techniques to detect the relationships within the article and extract these terms and the relationships; the overall process of detection, identification, extraction and assembling, is termed Information Harvesting. Information extracted by MedScan represents the multiple aspects of protein function, including protein modification, cellular localization, protein-protein interactions, gene expression regulation, molecular transport and synthesis, as well as association with diseases, and regulation of various cellular processes. This scope can be broadened by modifying information extraction rules and the dictionaries. Dictionaries can be assembled on any topic or area that is represented in the literature you wish to harvest. High-throughput data generation methodologies like microarray gene expression require new approaches for gathering information for data analysis. For the best results, computational approaches used for high-throughput data analysis require that biological information from the literature be a coherent and integrated part of the analysis software itself. Pathway Studio meets this challenge through its MedScan Technology and underlying ResNet database. All editions of Pathway Studio contain MedScan Technology to harvest information from the literature and to save this information in the Pathway Studio ResNet database ready for data analysis. MedScan is more than a web search engine. Indeed, the output of a Google search can be channeled into MedScan for example. Web searches, like Google, are excellent at finding items as a result of a query. A quick look at the output list usually locates the item for which you are looking. This approach however, is not well suited for information and knowledge gathering. Also, once information is gathered, where do you put it for later computational use? MedScan meets this challenge for the area of biomedical literature and biomedical online information. PubMed meets the needs for a central repository of biomedical literature. Researchers can go to PubMed and search for any topic and articles of interest, much like a web type of search. However, just like a web type of search, PubMed also provides a list of all the hits with a link to the articles. If a single article, or even just a few, are sought, this search approach is useful. Alternatively, MedScan will list all the articles of interest but additionally scans the text for relationships, highlights these relationships in the articles and then lists these relationships and the biological molecules and processes involved in the relationships in separate tables. The tables of relationships can be viewed graphically in Pathway Studio and can be saved into the ResNet database for use in experimental data analysis. | expression, function, article, biological, biomedical, cellular, dictionary, disease, information, literature, localization, medline interfaces, modification, molecule, process, protein, regulation, synthesis, technology, term, transport, FASEB list | PMID:15033866 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21259 | http://www.ariadnegenomics.com/products/medscan/reader/ | SCR_003314 | MedScan | 2026-09-19 12:50:17 | 37 | |||||||
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ggbio Resource Report Resource Website 10+ mentions |
ggbio (RRID:SCR_003313) | software resource | An R package for extending the grammar of graphics for genomic data. The graphics are designed to answer common scientific questions, in particular those often asked of high throughput genomics data. All core Bioconductor data structures are supported, where appropriate. The package supports detailed views of particular genomic regions, as well as genome-wide overviews. Supported overviews include ideograms and grand linear views. High-level plots include sequence fragment length, edge-linked interval to data view, mismatch pileup, and several splicing summaries. | standalone software, unix/linux, mac os x, windows, r, infrastructure, visualization, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Bioconductor |
PMID:22937822 | Free, Available for download, Freely available | biotools:ggbio, OMICS_04660 | http://www.tengfei.name/ggbio/, https://bio.tools/ggbio | SCR_003313 | ggbio - Visualization tools for genomic data | 2026-09-19 12:50:17 | 16 | ||||||
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deFuse Resource Report Resource Website 50+ mentions |
deFuse (RRID:SCR_003279) | data analysis software, data processing software, sequence analysis software, software application, software resource, software toolkit | Software package for gene fusion discovery using RNA-Seq data. It uses clusters of discordant paired end alignments to inform a split read alignment analysis for finding fusion boundaries. | rna sequencing, gene fusion, paired end alignment, split read, fusion boundary, bio.tools |
uses: SAMTOOLS uses: Bowtie uses: BLAT uses: GMAP uses: R Project for Statistical Computing is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: SourceForge |
British Columbia Cancer Foundation ; Vancouver General Hospital Foundation ; Genome Canada ; Michael Smith Foundation for Health Research ; Canadian Breast Cancer Foundation ; Canadian Institutes of Health Research's Bioinformatics Training Program |
PMID:21625565 | Free, Available for download, Freely available | biotools:defuse, OMICS_01345 | https://sourceforge.net/projects/defuse/, http://compbio.bccrc.ca/software/defuse/, https://bio.tools/defuse | http://sourceforge.net/apps/mediawiki/defuse/index.php?title=Main_Page | SCR_003279 | 2026-09-19 12:50:16 | 95 |
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
