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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Genetic and Rare Diseases Information Center Resource Report Resource Website 10+ mentions |
Genetic and Rare Diseases Information Center (RRID:SCR_008695) | GARD | topical portal, data or information resource, portal, disease-related portal | Genetic and Rare Diseases Information Center (GARD) is a collaborative effort of two agencies of the National Institutes of Health, The Office of Rare Diseases Research (ORDR) and the National Human Genome Research Institute (NHGRI) to help people find useful information about genetic conditions and rare diseases. GARD provides timely access to experienced information specialists who can furnish current and accurate information about genetic and rare diseases. So far, GARD has responded to 27,635 inquiries on about 7,147 rare and genetic diseases. Requests come not only from patients and their families, but also from physicians, nurses and other health-care professionals. GARD also has proved useful to genetic counselors, occupational and physical therapists, social workers, and teachers who work with people with a genetic or rare disease. Even scientists who are studying a genetic or rare disease and who need information for their research have contacted GARD, as have people who are taking part in a clinical study. Community leaders looking to help people find resources for those with genetic or rare diseases and advocacy groups who want up-to-date disease information for their members have contacted GARD. And members of the media who are writing stories about genetic or rare diseases have found the information GARD has on hand useful, accurate and complete. GARD has information on: :- What is known about a genetic or rare disease. :- What research studies are being conducted. :- What genetic testing and genetic services are available. :- Which advocacy groups to contact for a specific genetic or rare disease. :- What has been written recently about a genetic or rare disease in medical journals. GARD information specialists get their information from: :- NIH resources. :- Medical textbooks. :- Journal articles. :- Web sites. :- Advocacy groups, and their literature and services. :- Medical databases. | genetic, disease, information, genome, human, rare disease, health, physician, counselor, gene, journal, medical | has parent organization: National Institutes of Health | Office of Rare Diseases Research ; NHGRI |
nif-0000-37627 | SCR_008695 | Genetic Rare Diseases Information Center | 2026-07-30 09:27:58 | 14 | |||||||
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NovoAlign Resource Report Resource Website 500+ mentions |
NovoAlign (RRID:SCR_014818) | data processing software, sequence analysis software, data analysis software, software resource, software application | Software tool designed for mapping short reads onto a reference genome generated from Illumina, Ion Torrent, and 454 NGS platforms. Its features include paired end alignment, methylation status analysis, automatic base quality calibration, and in built adapter trimming and base quality trimming. | sequence analysis software, short read, map, genome, illumina, ion torrent, 454 ngs | Commercially available, Trial available by request | SCR_014818 | 2026-07-30 09:29:25 | 787 | |||||||||||
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SNP2TFBS Resource Report Resource Website 1+ mentions |
SNP2TFBS (RRID:SCR_016885) | SNP2TFBS | data access protocol, software resource, web service, data or information resource, database | Collection of text files providing specific annotations for human single nucleotide polymorphisms (SNPs), namely whether they are predicted to abolish, create or change the affinity of one or several transcription factor (TF) binding sites. Used to investigate the molecular mechanisms underlying regulatory variation in the human genome. SNP2TFBS is also accessible over a web interface, enabling users to view the information provided for an individual SNP, to extract SNPs based on various search criteria, to annotate uploaded sets of SNPs or to display statistics about the frequencies of binding sites affected by selected SNPs. | collection, regulatory, single, polymorphism, SNP, affecting, predicted, transcription, factor, binding, site, affinity, data, human, nucleotide, genome | Swiss National Science Foundation ; Swiss Institute of Bioinformatics |
PMID:27899579 | Free, Freely available | SCR_016885 | Single Nucleotide Polymorphisms 2 Transcription Factor Binding Site, SNP2TFBS | 2026-07-30 09:30:13 | 7 | |||||||
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Diploidocus Resource Report Resource Website 1+ mentions |
Diploidocus (RRID:SCR_021231) | data processing software, sequence analysis software, software toolkit, data analysis software, software resource, software application | Software package for diploid genome assembly analysis. Sequence analysis toolkit for number of different analyses related to diploid genome assembly. | Diploid genome assembly analysis, genome, genome assembly, sequence analysis | uses: DepthSizer | Free, Available for download, Freely available | SCR_021231 | 2026-07-30 09:30:43 | 3 | ||||||||||
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University of Manitoba Department of Plant Science Bio Information Technologies Lab Core Facility Resource Report Resource Website |
University of Manitoba Department of Plant Science Bio Information Technologies Lab Core Facility (RRID:SCR_017177) | University of Manitoba BIT Core Facility | core facility, service resource, access service resource, data analysis service, software resource, data or information resource, production service resource, analysis service resource | BIT Core at University of Manitoba, Manitoba, Canada, provides bioinformatics services, resources and collaborations. Support for Genome assembly and annotation, Microarray and Transcriptomics, Systems Biology and Pathway analysis, Databases, Data pipelines, Bioinformatics software, Custom software and programming, Project Wikis, Lab group computer management. | bioinformatics, genome, assembly, microarray, transcriptomics, pathway, data, analysis, management | Restricted | SCR_017177 | University of Manitoba, BIT, Bio Information Technologies Lab, Fritensky Lab, Canada, Department of Plant Science | 2026-07-30 09:30:17 | 0 | |||||||||
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LTRpred Resource Report Resource Website 1+ mentions |
LTRpred (RRID:SCR_017031) | data processing software, data analytics software, data analysis software, software resource, software application | Software package for automated functional annotation of LTR retrotransposons for comparative genomics studies. Used to perform de novo functional annotation of LTR retrotransposons from any genome assembly in fasta format. | LTR, retrotransposon, prediction, genome, assembly, functional, annotation | is related to: R Project for Statistical Computing | Free, Available to download, Freely available | https://hajkd.github.io/LTRpred/ | SCR_017031 | LTRpred(ict) | 2026-07-30 09:30:08 | 6 | ||||||||
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Sequence Tag Alignment and Consensus Knowledgebase Database Resource Report Resource Website |
Sequence Tag Alignment and Consensus Knowledgebase Database (RRID:SCR_002156) | data processing software, software application, data visualization software, software resource, data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The STACKdb is knowledgebase generated by processing EST and mRNA sequences obtained from GenBank through a pipeline consisting of masking, clustering, alignment and variation analysis steps. The STACK project aims to generate a comprehensive representation of the sequence of each of the expressed genes in the human genome by extensive processing of gene fragments to make accurate alignments, highlight diversity and provide a carefully joined set of consensus sequences for each gene. The STACK project is comprised of the STACKdb human gene index, a database of virtual human transcripts, as well as stackPACK, the tools used to create the database. STACKdb is organized into 15 tissue-based categories and one disease category. STACK is a tool for detection and visualization of expressed transcript variation in the context of developmental and pathological states. The data system organizes and reconstructs human transcripts from available public data in the context of expression state. The expression state of a transcript can include developmental state, pathological association, site of expression and isoform of expressed transcript. STACK consensus transcripts are reconstructed from clusters that capture and reflect the growing evidence of transcript diversity. The comprehensive capture of transcript variants is achieved by the use of a novel clustering approach that is tolerant of sub-sequence diversity and does not rely on pairwise alignment. This is in contrast with other gene indexing projects. STACK is generated at least four times a year and represents the exhaustive processing of all publicly available human EST data extracted from GenBank. This processed information can be explored through 15 tissue-specific categories, a disease-related category and a whole-body index | exonic, expressed, expressed sequence tag (est), expression, fragment, gene, alignment, alternative gene, cdna, clone, cluster, developmental, disease, diversity, genome, homo sapiens, human, isoform, knowledgebase, meta-cluster, mrna, pathological, sequence, tissue, transcript, variant, visualization | PMID:11125101 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20946 | SCR_002156 | STACKdb | 2026-07-30 09:26:23 | 0 | ||||||||
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UK Sheep Genome Mapping Project Resource Report Resource Website 1+ mentions |
UK Sheep Genome Mapping Project (RRID:SCR_002272) | topical portal, data or information resource, database, portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The project aims to apply genome mapping research to sheep, utilizing previous research in sheep (in other countries) and in other species (in the UK and abroad) to the benefit of the UK sheep industry. The project itself uses existing breeding structures, knowledge of the sheep genome and experimental resources. It has three main aims: i) To use the Suffolk, Texel and Charollais Sire Referencing Schemes to detect and verify quantitative trait loci (QTLs) for growth and carcass composition traits ii) To investigate candidate genes and/or chromosomal regions for associations with production traits. iii) To investigate approaches for optimizing future genotyping strategies within the sire referencing schemes for practical and cost effective application of marker-assisted selection By using commercial breeding populations for the research, immediate application of beneficial results is possible. Potential benefits include increased genetic progress through marker assisted selection which utilizes the genotype information, correction of possible parentage errors (ultimately leading to additional genetic progress) and opportunities for using marker information for product certification. The project will benefit the UK sheep industry by the use of Marker Assisted Selection (MAS) utilizing QTL or gene variants identified in the project. Additional benefits may arise from parentage verification and correction of errors e.g. misallocation of lamb to ewe. In the longer term, opportunities may exist to use markers for quality control, tracing products to their source. The major advantage of the design of this project is that the results are immediately applicable to the breeding schemes within which the QTLs and/or genes are detected. The time lag in the application of the results that is often seen with experimental populations is minimized. The project requires close involvement with the Sire Reference Schemes, in return for their assistance the results have immediate benefit to animals within these groups. | gene, animal, breed, breeding, chromosomal, chromosome, genome, genotype, genotyping, lamb, map, mapping, marker, population, production, region, sheep, specie, structure, trait | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20995 | SCR_002272 | UKSGMP | 2026-07-30 09:26:25 | 1 | |||||||||
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GRS Resource Report Resource Website 1+ mentions |
GRS (RRID:SCR_001008) | data processing software, data management software, data analysis software, software resource, software application | A compression tool for efficient storage of Genome Re-Sequencing data. GRS processes genome sequence data without use of reference SNPs and other variants. It can also automatically rebuild the individual genome sequence data using the reference genome sequence. | data analysis software, data management software, compression tool, data compression, storage, genome, resequencing | is listed by: OMICtools | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00960 | SCR_001008 | 2026-07-30 09:26:07 | 2 | |||||||||
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NTAP Resource Report Resource Website 10+ mentions |
NTAP (RRID:SCR_001488) | NTAP | data processing software, software application, data analysis software, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Software for tiling array data analysis to survey the genome-wide binding sites of transcription factor HY5 in Arabidopsis and the genome-wide histone modifications/DNA methylation level in rice. It was developed in the process of generating NimbleGen analysis. Written in R and Perl. | software, tiling array, data analysis, rice, arabidopsis, hy5, transcription factor, genome |
is listed by: OMICtools has parent organization: Peking University; Beijing; China |
PMID:19468055 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00808 | SCR_001488 | NimbleGen Tiling array Analysis Package, NimbleGen Tilingarray Analysis Package | 2026-07-30 09:26:10 | 10 | ||||||
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SoyBase Resource Report Resource Website 500+ mentions |
SoyBase (RRID:SCR_005096) | SoyBase | service resource, data repository, data analysis service, storage service resource, ontology, controlled vocabulary, data or information resource, database, production service resource, analysis service resource | Professionally curated repository for genetics, genomics and related data resources for soybean that contains the most current genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. SoyBase includes annotated Williams 82 genomic sequence and associated data mining tools. The genetic and sequence views of the soybean chromosomes and the extensive data on traits and phenotypes are extensively interlinked. This allows entry to the database using almost any kind of available information, such as genetic map symbols, soybean gene names or phenotypic traits. The repository maintains controlled vocabularies for soybean growth, development, and traits that are linked to more general plant ontologies. Contributions to SoyBase or the Breeder''s Toolbox are welcome. | soybean, gene, genetic map, genome, data set, trait, phenotype, molecular biology, sequence, chromosome, quantitative trait locus, php, genetics, genomics, legume, bio.tools, FASEB list |
is listed by: 3DVC is listed by: re3data.org is listed by: Debian is listed by: bio.tools has parent organization: Iowa State University; Iowa; USA is parent organization of: Soybean Ontologies is parent organization of: Soy Ontology |
USDA Agricultural Research Service | PMID:20008513 | The community can contribute to this resource | nif-0000-03483, r3d100010846, biotools:soybase | https://bio.tools/soybase, https://doi.org/10.17616/R3S032 | SCR_005096 | SoyBase and the Soybean Breeder''s Toolbox, SoyBase and the Soybean Breeder''s Toolbox: Integrating Genetics and Molecular Biology for Soybean Researchers | 2026-07-30 09:27:09 | 646 | ||||
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Pathosystems Resource Integration Center Resource Report Resource Website 1000+ mentions |
Pathosystems Resource Integration Center (RRID:SCR_004154) | PATRIC | service resource, data analysis service, bioinformatics resource center, data or information resource, database, production service resource, analysis service resource | A Bioinformatics Resource Center bacterial bioinformatics database and analysis resource that provides researchers with an online resource that stores and integrates a variety of data types (e.g. genomics, transcriptomics, protein-protein interactions (PPIs), three-dimensional protein structures and sequence typing data) and associated metadata. Datatypes are summarized for individual genomes and across taxonomic levels. All genomes, currently more than 10 000, are consistently annotated using RAST, the Rapid Annotations using Subsystems Technology. Summaries of different data types are also provided for individual genes, where comparisons of different annotations are available, and also include available transcriptomic data. PATRIC provides a variety of ways for researchers to find data of interest and a private workspace where they can store both genomic and gene associations, and their own private data. Both private and public data can be analyzed together using a suite of tools to perform comparative genomic or transcriptomic analysis. PATRIC also includes integrated information related to disease and PPIs. The PATRIC project includes three primary collaborators: the University of Chicago, the University of Manchester, and New City Media. The University of Chicago is providing genome annotations and a PATRIC end-user genome annotation service using their Rapid Annotation using Subsystem Technology (RAST) system. The National Centre for Text Mining (NaCTeM) at the University of Manchester is providing literature-based text mining capability and service. New City Media is providing assistance in website interface development. An FTP server and download tool are available. | genomics, genome, transcriptomics, protein-protein interaction, sequence typing, proteobacteria, brucella, rickettsia, coxiella, coronavirus, calicivirus, lyssavirus, virus, hepatitis a, hepatitis e, pathway, proteome, metabolic pathway, drug, vaccine, diagnostics, FASEB list |
is listed by: OMICtools has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA |
NIAID | PMID:24225323 PMID:17142235 |
Free, Public, Acknowledgement requested | r3d100010142, OMICS_01658, nlx_17476 | http://patricbrc.vbi.vt.edu/portal/portal/patric/Home, https://doi.org/10.17616/R3WS3X | http://patric.vbi.vt.edu/ | SCR_004154 | PathoSystems Resource Integration Center, PATRIC, Pathosystems Resource Integration Center | 2026-07-30 09:27:01 | 1083 | |||
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Gene Weaver Resource Report Resource Website 10+ mentions |
Gene Weaver (RRID:SCR_003009) | service resource, data repository, data analysis service, data or information resource, database, storage service resource, analysis service resource, production service resource | Freely accessible phenotype-centered database with integrated analysis and visualization tools. It combines diverse data sets from multiple species and experiment types, and allows data sharing across collaborative groups or to public users. It was conceived of as a tool for the integration of biological functions based on the molecular processes that subserved them. From these data, an empirically derived ontology may one day be inferred. Users have found the system valuable for a wide range of applications in the arena of functional genomic data integration. | phenotype, microarray, gene, genome, functional genomics, process, pathway, function, gene set, genomic data integration, analysis, visualization |
is used by: NIF Data Federation is used by: Integrated Datasets is listed by: OMICtools is related to: Integrated Manually Extracted Annotation has parent organization: Jackson Laboratory |
Integrative Neuroscience Initiative on Alcoholism ; NIAAA U01 AA13499; NIAAA U24 AA13513; NIAAA R01 AA18776 |
PMID:22080549 PMID:19733230 |
Free, Freely available | r3d100012464, OMICS_02232, nif-0000-00517 | http://ontologicaldiscovery.org/, https://doi.org/10.17616/R3248T | SCR_003009 | GeneWeaver, GeneWeaver - A system for the integration of functional genomics experiments, Ontological Discovery Environment, GeneWeaver.org | 2026-07-30 09:26:46 | 34 | |||||
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VMD Resource Report Resource Website 1+ mentions |
VMD (RRID:SCR_004905) | PAMGO_VMD, VMD | service resource, data analysis service, data or information resource, database, production service resource, analysis service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. Database covering a range of plant pathogenic oomycetes, fungi and bacteria primarily those under study at Virginia Bioinformatics Institute. The data comes from different sources and has genomes of 3 oomycetes pathogens: Phytophthora sojae, Phytophthora ramorum and Hyaloperonospora arabidopsidis. The genome sequences (95 MB for P.sojae and 65 MB for P.ramorum) were annotated with approximately 19,000 and approximately 16,000 gene models, respectively. Two different statistical methods were used to validate these gene models, Fickett''''s and a log-likelihood method. Functional annotation of the gene models is based on results from BlastX and InterProScan screens. From the InterProScan results, putative functions to 17,694 genes in P.sojae and 14,700 genes in P.ramorum could be assigned. An easy-to-use genome browser was created to view the genome sequence data, which opens to detailed annotation pages for each gene model. A community annotation interface is available for registered community members to add or edit annotations. There are approximately 1600 gene models for P.sojae and approximately 700 models for P.ramorum that have already been manually curated. A toolkit is provided as an additional resource for users to perform a variety of sequence analysis jobs. | microbial genome sequence, genome, genome sequence, genome model, gene, image, oomycete, fungus, bacteria, phytophthora sojae, phytophthora ramorum, hyaloperonospora arabidopsidis, plant |
is used by: NIF Data Federation is related to: AmiGO has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA |
USDA Cooperative State Research Education and Extension Service 2002-35600-12747; USDA Cooperative State Research Education and Extension Service 2004-35600-15055; NSF MCB-0242131; NSF EF-0412213; NSF DBI-0211863 |
PMID:16381891 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_87328 | http://phytophthora.vbi.vt.edu | SCR_004905 | VBI Microbial Database, Virginia Bioinformatics Institute Microbial Database | 2026-07-30 09:27:04 | 8 | ||||
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Differential Methylation Analysis Package Resource Report Resource Website |
Differential Methylation Analysis Package (RRID:SCR_019148) | DMAP | data processing software, software toolkit, data analysis software, software resource, software application | Software package for large scale genomic DNA methylation analysis. Filters and processes aligned bisulphite sequenced data to generate comprehensive reference methylomes in different units for any genome. Processes aligned SAM files of multiple samples to provide reliable and statistically significant differentially methylated regions, then relate them to proximal genes and CpG features with reasonable rapidity. | Genomic DNA methylation, DNA methylation analysis, bisulphite sequenced data, reference methylomes generation, genome, aligned SAM files processing, differentially methylated regions | has parent organization: University of Otago; Dunedin; New Zealand | National Centre for Growth and Development and Health Research Council ; New Zealand |
PMID:24608764 | Free, Freely available | SCR_019148 | 2026-07-30 09:30:41 | 0 | |||||||
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EnteroBase Resource Report Resource Website 100+ mentions |
EnteroBase (RRID:SCR_019019) | data access protocol, software resource, web service, data or information resource, database | Integrated software environment that supports identification of global population structures within several bacterial genera that include pathogens. Web service for analyzing and visualizing genomic variation within bacteria. Genome database to enable to identify, analyse, quantify and visualise genomic variation within bacterial genera including Salmonella, Escherichia/Shigella, Clostridioides,Vibrio,Yersinia,Helicobacter,Moraxella. | Bacteria, pathogen, genome, Illumina short read, genotype, core genome multilocus, sequence typing, cgMLST, cgMLST sequence, bacterial strain mapping, visualizing genomic variation, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools has parent organization: University of Warwick; Coventry; United Kingdom |
Biotechnology and Biological Sciences Research Council ; Wellcome Trust |
Restricted | biotools:Enterobase | https://bio.tools/EnteroBase | SCR_019019 | 2026-07-30 09:30:30 | 233 | |||||||
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Rickettsia Genome Database Resource Report Resource Website 1+ mentions |
Rickettsia Genome Database (RRID:SCR_007102) | data or information resource, database, image | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 18, 2016. Rickettsia are obligate intracellular bacteria living in arthropods. They occasionally cause diseases in humans. To understand their pathogenicity, physiologies and evolutionary mechanisms, RicBase is sequencing different species of Rickettsia. Up to now we have determined the genome sequences of R. conorii, R. felis, R. bellii, R. africae, and R. massiliae. The RicBase aims to organize the genomic data to assist followup studies of Rickettsia. This website contains information on R. conorii and R. prowazekii. A R. conorii and R. prowazekii comparative genome map is also available. Images of genome maps, dendrogram, and sequence alignment allow users to gain a visualization of the diagrams. | evolutionary, africae, alignment, arthropod, bacteria, bellii, conorii, dendrogram, disease, genome, genomic, human, intracellular, massiliae, mechanism, pathogenicity, physiology, prowazekii, rickettsia, sequence, specie, journal article, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20993 | SCR_007102 | RicBase | 2026-07-30 09:27:36 | 1 | |||||||||
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Genomic HyperBrowser Resource Report Resource Website 10+ mentions |
Genomic HyperBrowser (RRID:SCR_010909) | Genomic HyperBrowser | service resource, production service resource, analysis service resource, data analysis service | A generic web-based system, providing statistical methodology and computing power to handle a variety of biological inquires on genomic datasets. | genomic, genomic track, gene regulation, disease association, epigenetic modification, genome |
is listed by: OMICtools has parent organization: University of Oslo; Oslo; Norway |
PMID:23632163 PMID:21182759 |
OMICS_00638 | SCR_010909 | The Genomic HyperBrowser | 2026-07-30 09:28:39 | 20 | |||||||
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UCSC Cancer Genomics Browser Resource Report Resource Website 500+ mentions |
UCSC Cancer Genomics Browser (RRID:SCR_011796) | Cancer Genomics Browser | data or information resource, database, service resource | A suite of web-based tools to visualize, integrate and analyze cancer genomics and its associated clinical data. It is possible to display your own clinical data within one of their datasets. | genome, genomics, clinical, next-generation sequencing, chromosome, gene, FASEB list |
is listed by: OMICtools has parent organization: University of California at Santa Cruz; California; USA |
Cancer | NCI ; NHGRI ; American Association for Cancer Research ; UCSF Comprehensive Cancer Center ; California Institute for Quantitative Biosciences |
PMID:23109555 PMID:21059681 PMID:19333237 |
Acknowledgement requested | OMICS_00925 | SCR_011796 | 2026-07-30 09:28:38 | 530 | |||||
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miRanda Resource Report Resource Website 100+ mentions |
miRanda (RRID:SCR_017496) | data or information resource, database, service resource | Comprehensive resource of microRNA target predictions and expression profiles. Used for whole genome prediction of miRNA target genes. For each miRNA, target genes are selected on basis of sequence complementarity using position weighted local alignment algorithm, free energies of RNA-RNA duplexes, and conservation of target sites in related genomes. Provides information about set of genes potentially regulated by particular microRNA, co-occurrence of predicted target sites for multiple microRNAs in mRNA and microRNA expression profiles in tissues. Users are allowed to customize algorithm, numerical parameters, and position-specific rules., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | Whole, genome, prediction, miRNA, target, gene, expression, profile, data, FASEB list | is listed by: SoftCite | NIGMS ; Atlantic Philanthropies ; Alfred W. Bressler Scholars Endowment Fund |
PMID:18158296 | THIS RESOURCE IS NO LONGER IN SERVICE | http://www.microrna.org/microrna/home.do | SCR_017496 | MicroRNA.org. microrna.org | 2026-07-30 09:30:11 | 210 |
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