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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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PeptideMapper Resource Report Resource Website 1+ mentions |
PeptideMapper (RRID:SCR_005763) | PeptideMapper | data access protocol, software resource, web service | The PeptideMapper Web-Service provides alignments of peptide sequence alignments to proteins, mRNA, EST, and HTC sequences from Genbank, RefSeq, UniProt, IPI, VEGA, EMBL, and HInvDb. This mapping infrastructure is supported, in part, by the compressed peptide sequence database infrastructure (Edwards, 2007) which enables a fast, suffix-tree based mapping of peptide sequences to gene identifiers and a gene-focused detailed mapping of peptide sequences to source sequence evidence. The PeptideMapper Web-Service can be used interactively or as a web-service using either HTTP or SOAP requests. Results of HTTP requests can be returned in a variety of formats, including XML, JSON, CSV, TSV, or XLS, and in some cases, GFF or BED; results of SOAP requests are returned as SOAP responses. The PeptideMapper Web-Service maps at most 20 peptides with length between 5 and 30 amino-acids in each request. The number of alignments returned, per peptide, gene, and sequence type, is set to 10 by default. The default can be changed on the interactive alignments search form or by using the max web-service parameter. | peptide, sequence, protein, alignment, expressed sequence tag, mrna, est, htc, genbank, refseq, uniprot, ipi, vega, embl, hinvdb | has parent organization: Edwards Lab | NCI CA126189 | PMID:17437027 | nlx_149229 | SCR_005763 | PeptideMapper Web-Service, Peptide Mapper | 2026-02-16 09:46:41 | 4 | ||||||
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CGAP GO Browser Resource Report Resource Website 1+ mentions |
CGAP GO Browser (RRID:SCR_005676) | CGAP GO Browser | data set, service resource, data or information resource | With the CGAP GO browser, you can browse through the GO vocabularies, and find human and mouse genes assigned to each term. GO data updated every few months. Platform: Online tool | gene, biological process, cellular component, molecular function, browser, ontology, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Cancer Genome Anatomy Project |
NCI | Free for academic use | nlx_149116 | SCR_005676 | Cancer Genome Anatomy Project GO Browser | 2026-02-16 09:46:31 | 4 | ||||||
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Mouse Gene Expression at the BC Cancer Agency Resource Report Resource Website 10+ mentions |
Mouse Gene Expression at the BC Cancer Agency (RRID:SCR_008091) | Mouse Gene Expression at the BC Cancer Agency | atlas, database, topical portal, portal, data or information resource | A portal to the Mouse Atlas of Gene Expression Project and Dissecting Gene Expression Networks in Mammalian Organogenesis Project. This Atlas will define the normal state for many tissues by determining, in a comprehensive and quantitative fashion, the number and identity of genes expressed throughout development. The resource will be comprehensive, quantitative, and publicly accessible, containing data on essentially all genes expressed throughout select stages of mouse development. Serial Analysis of Gene Expression (SAGE) is the gene expression methodology of choice for this work. Unlike expressed sequence tags (ESTs) and gene chip data, SAGE data are independent of prior gene discovery and are quantitative. Furthermore, SAGE data are digital, easily exchanged between laboratories for comparison and can be added to by scientists for years to come. Thus, this Atlas will include a data structure and data curation strategy that will facilitate the ongoing collection of gene expression data, even after the completion of this project. The Mouse Atlas project compromises 202 SAGE Libraries from 198 tissues. The list of libraries is available in a number of different groupings, including groups of libraries taken from specific tissue locations and libraries taken from specific developmental stages. Furthermore, this atlas will assemble gene expression profiles for a few focused experiments that will test hypotheses related to the techniques employed, tumor models and models of abnormal development. This will test the resource and provide quality control, validation and demonstrate applicability. Additionally, The Mammalian Organogenesis - Regulation by Gene Expression Networks (MORGEN) project will provide a complete, permanent, and accurate picture of mouse gene expression in the heart (atrioventricular canal and outflow tract), pancreas, and liver; new techniques to understand the interplay of proteins governing the expression of genes key to the development of these organ systems; and the identification of the master regulatory switches that control development of the tissues. | gene, gene expression, abnormal development, development, heart, liver, mouse, organ system, pancreas, protein, tissue, tumor | has parent organization: BC Cancer Agency | Genome Canada ; BC Cancer Agency ; BC Cancer Foundation ; NCI |
nif-0000-11029 | SCR_008091 | 2026-02-16 09:47:06 | 15 | ||||||||
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Duke Cancer Institute Resource Report Resource Website 1+ mentions |
Duke Cancer Institute (RRID:SCR_004338) | DCI | data or information resource, topical portal, portal | One of 40 centers in the country designated by the National Cancer Institute (NCI) as a comprehensive cancer center, it combines cutting-edge research with compassionate care. Its vision is to accelerate research advances related to cancer and improve Duke''s ability to translate these discoveries into the most advanced cancer care to patients by uniting hundreds of cancer physicians, researchers, educators, and staff across the medical center, medical school, and health system under a shared administrative structure. | cancer, patient, research, clinical trial |
is related to: Biospecimen Repository and Processing Core has parent organization: Duke University School of Medicine; North Carolina; USA is parent organization of: DCI Tissue and Blood Procurement Shared Resource |
Cancer | NCI | nlx_143695 | http://www.cancer.duke.edu/ | SCR_004338 | Duke Cancer Institute: A National Cancer Institute-designated Comprehensive Cancer Center | 2026-02-16 09:46:18 | 1 | |||||
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Stem Cell Discovery Engine Resource Report Resource Website 50+ mentions |
Stem Cell Discovery Engine (RRID:SCR_004453) | SCDE | analysis service resource, data repository, database, storage service resource, software resource, source code, production service resource, service resource, data or information resource | An online database of curated cancer stem cell (CSC) experiments coupled to the Galaxy analytical framework. Driven by a need to improve our understanding of molecular processes that are common and unique across cancer stem cells (CSCs), the SCDE allows users to consistently describe, share and compare CSC data at the gene and pathway level. The initial focus has been on carefully curating tissue and cancer stem cell-related experiments from blood, intestine and brain to create a high quality resource containing 53 public studies and 1098 assays. The experimental information is captured and stored in the multi-omics Investigation/Study/Assay (ISA-Tab) format and can be queried in the data repository. A linked Galaxy framework provides a comprehensive, flexible environment populated with novel tools for gene list comparisons against molecular signatures in GeneSigDB and MSigDB, curated experiments in the SCDE and pathways in WikiPathways. Investigation/Study/Assay (ISA) infrastructure is the first general-purpose format and freely available desktop software suite targeted to experimentalists, curators and developers and that: * assists in the reporting and local management of experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships) from studies employing one or a combination of technologies; * empowers users to uptake community-defined minimum information checklists and ontologies, where required; * formats studies for submission to a growing number of international public repositories endorsing the tools, currently ENA (genomics), PRIDE (proteomics) and ArrayExpress (transcriptomics). Galaxy allows you to do analyses you cannot do anywhere else without the need to install or download anything. You can analyze multiple alignments, compare genomic annotations, profile metagenomic samples and much much more. Best of all, Galaxy''''s history system provides a complete analyses record that can be shared. Every history is an analysis workflow, which can be used to reproduce the entire experiment. The code for this Galaxy instance is available for download from BitBucket. | stem cell, analysis, cancer stem cell, galaxy, gene, pathway, molecular signature, tissue, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: Galaxy is related to: Galaxy is related to: ISA Infrastructure for Managing Experimental Metadata has parent organization: Harvard T.H. Chan School of Public Health |
Cancer | NCI 1RC2CA148222-01 | PMID:22121217 | Free, The community can contribute to this resource | biotools:scde_discovery, nlx_44656 | https://bio.tools/scde_discovery | SCR_004453 | Harvard Stem Cell Discovery Engine, SCDE - Stem Cell Discovery Engine | 2026-02-16 09:46:17 | 57 | |||
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Case Western Reserve University Case Comprehensive Cancer Center Resource Report Resource Website |
Case Western Reserve University Case Comprehensive Cancer Center (RRID:SCR_004387) | Case CCC, CWRU Case CCC | core facility, access service resource, topical portal, portal, service resource, data or information resource | Core is a partnership organization supporting all cancer-related research efforts at CWRU, University Hospitals Case Medical Center, and the Cleveland Clinic. The Case CCC is organized into 9 interdisciplinary scientific programs plus one program initiative. Research programs of the Case CCC are extending into CWRU affiliated hospitals including MetroHealth Medical Center (the region's county hospital), Louis Stokes Veterans Affairs Hospital, and 13 community medical centers operated by University Hospitals and Cleveland Clinic. The Center operates an NCI-supported Cancer Information Service (CIS) serving the northern half of Ohio as part of the Midwest consortium and has an active outreach program for clinical practice-based prevention and screening initiatives, educational programs, minority recruitment, and facilitation of patient referrals. Case CCC is a member of NCI's CaBIG initiative and is actively pursuing electronic databases for clinical trials, tissue repositories, and related bioinformatics. |
has parent organization: Case Western Reserve University; Ohio; USA is parent organization of: Case Comprehensive Cancer Center Biorepository and Tissue Processing Core Facility |
NCI | Available to external user | nlx_40003 | SCR_004387 | 2026-02-16 09:46:19 | 0 | ||||||||
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Repository of molecular brain neoplasia data Resource Report Resource Website 1+ mentions |
Repository of molecular brain neoplasia data (RRID:SCR_004704) | REMBRANDT | data analysis service, analysis service resource, database, topical portal, portal, production service resource, service resource, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 28,2023. REMBRANDT is a data repository containing diverse types of molecular research and clinical trials data related to brain cancers, including gliomas, along with a wide variety of web-based analysis tools that readily facilitate the understanding of critical correlations among the different data types. REMBRANDT aims to be the access portal for a national molecular, genetic, and clinical database of several thousand primary brain tumors that is fully open and accessible to all investigators (including intramural and extramural researchers), as well as the public at-large. The main focus is to molecularly characterize a large number of adult and pediatric primary brain tumors and to correlate those data with extensive retrospective and prospective clinical data. Specific data types hosted here are gene expression profiles, real time PCR assays, CGH and SNP array information, sequencing data, tissue array results and images, proteomic profiles, and patients'''' response to various treatments. Clinical trials'''' information and protocols are also accessible. The data can be downloaded as raw files containing all the information gathered through the primary experiments or can be mined using the informatics support provided. This comprehensive brain tumor data portal will allow for easy ad hoc querying across multiple domains, thus allowing physician-scientists to make the right decisions during patient treatments., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, genetic, cancer, glioma, tumor, clinical genomics, functional genomics, clinical trial, genomics, gene expression, chromosomal aberration, clinical data, clinical, cellular pathway, gene ontology, molecule, brain, neoplasia, brain tumor, adult, pediatric, child, adolescent, gene expression profile, real time pcr assay, cgh array, snp array, sequence, tissue array, image, proteomic profile, treatment, protocol, molecular data, oncology, data mining, copy number array, gene expression array, secretion, kinase, membrane, gene-anomaly, translational research, personalized medicine, data integration, pathway, cell, phenotype |
is related to: Gene Ontology is related to: Glioma Molecular Dignostic Initiatives has parent organization: National Cancer Institute |
Glioma, Brain cancer, Brain tumor | NCI ; NINDS |
PMID:19208739 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00230 | SCR_004704 | REMBRANDT (Repository of Molecular Brain Neoplasia Data), REMBRANDT - Repository of Molecular Brain Neoplasia Data, REpository for Molecular BRAin Neoplasia DaTa (REMBRANDT) | 2026-02-16 09:46:22 | 2 | ||||
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SMD Resource Report Resource Website 10+ mentions |
SMD (RRID:SCR_004987) | SMD | data analysis service, analysis service resource, data repository, database, storage service resource, production service resource, service resource, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on December 17, 2021. Database to store, annotate, view, analyze and share microarray data. It provides registered users access to their own data, provides users access to public data, and tools with which to analyze those data, to any public user anywhere in the world. The GenePattern software package has been incorporated directly into SMD, providing access to many new analysis tools, as well as a plug-in architecture that allows users to directly integrate and share additional tools through SMD. This extension is available with the SMD source code that is fully and freely available to others under an Open Source license, enabling other groups to create a local installation of SMD with an enriched data analysis capability. SMD search options allow the user to Search By Experiments, Search By Datasets, or Search By Gene Names. Web services are provided using common standards, such as Simple Object Access Protocol (SOAP). This enables both local and remote researchers to connect to an installation of the database and retrieve data using pre-defined methods, without needing to resort to use of a web browser. | data set, microarray, gene, image, gene expression, adenovirus disease, apoptosis, leukemia, source code, web service |
is listed by: 3DVC is listed by: re3data.org is listed by: OMICtools is related to: Longhorn Array Database is related to: Tuberculosis Database has parent organization: Princeton University; New Jersey; USA is parent organization of: SOURCE |
NCI ; Howard Hughes Medical Institute ; Stanford University School of Medicine; California; USA ; NHGRI R01 HG003469 |
PMID:18953035 PMID:17182626 PMID:15608265 PMID:12519956 PMID:11125075 |
Public, Open-source license, The community can contribute to this resource, Acknowledgement requested, THIS RESOURCE IS NO LONGER IN SERVICE | nlx_94141, OMICS_00870, r3d100010555 | https://doi.org/10.17616/R3DW40 | http://genome-www.stanford.edu/microarray/, http://smd.stanford.edu/ | SCR_004987 | Stanford Microarray Database | 2026-02-16 09:46:34 | 12 | |||
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SCSORS - Semi-Custom Synthesis On-line Request System Resource Report Resource Website 1+ mentions |
SCSORS - Semi-Custom Synthesis On-line Request System (RRID:SCR_005636) | SCSORS | production service resource, material service resource, reagent manufacture, service resource | ChemNavigator has extended its agreement with NCI to include the development of a new Semi-Custom Synthesis On-line Request System (SCSORS), funded mostly by NCI with additional financial support from the NIH Chemical Genomics Center (NCGC). The new SCSORS project will provide the NIH access to the world''s supply of synthetic chemistry available for drug discovery. Once fully formed, SCSORS will provide a strategy for all NIH scientists to circulate requests for specific chemical samples among thousands, if not tens of thousands, of synthetic chemists at suppliers registered in the system. Sample quantities will range from milligram up to kilogram scale requests. Suppliers will be provided tools that allow them to review these requests and make proposals to NIH scientists for the synthesis of substances. It is expected that using the SCSORS strategy will allow the NIH to acquire chemical samples at less than 10% of the internal cost of synthesis while offering access to world wide chemical expertise and diversity. Once fully implemented, SCSORS will become an archive of commercially accessible custom chemistry products for pharmaceutical research. It is expected that this database of commercially accessible substances will grow to over 250 million substances in the coming two years. | compound, pharmaceutical, chemistry, drug discovery, research | NCI | nlx_146249 | SCR_005636 | SCSORS Project, Semi-Custom Synthesis On-line Request System | 2026-02-16 09:46:30 | 1 | ||||||||
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WebArrayDB Resource Report Resource Website 1+ mentions |
WebArrayDB (RRID:SCR_005577) | WebArrayDB | data analysis service, analysis service resource, data repository, database, storage service resource, software resource, production service resource, service resource, data or information resource | An open source integrated microarray database and analysis suite that features convenient uploading of data for storage in a MIAME (Minimal Information about a Microarray Experiment) compliant fashion. It allows data to be mined with a large variety of R-based tools, including data analysis across multiple platforms. Different methods for probe alignment, normalization and statistical analysis are included to account for systematic bias. Student's t-test, moderated t-tests, non-parametric tests and analysis of variance or covariance (ANOVA/ANCOVA) are among the choices of algorithms for differential analysis of data. Users also have the flexibility to define new factors and create new analysis models to fit complex experimental designs. All data can be queried or browsed through a web browser. The computations can be performed in parallel on symmetric multiprocessing (SMP) systems or Linux clusters. | is listed by: OMICtools | Prostate Cancer Foundation ; Mary Kay Ash Foundation ; NIH ; NIAI R01AI034829; NIAI R01AI052237; NCI R01CA68822; NCI U01CA114810 |
PMID:19602526 | Open source, Account required, The software package is available for the use on a public web server or can be downloaded | OMICS_00782 | SCR_005577 | 2026-02-16 09:46:40 | 8 | |||||||
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PathoMAN Resource Report Resource Website |
PathoMAN (RRID:SCR_026552) | PathoMAN | web application, software resource | Web application to automate germline genomic variant curation from clinical sequencing based on ACMG guidelines. Aggregates multiple tracks of genomic, protein and disease specific information from public sources. | Aggregates multiple tracks, automate germline genomic variant curation, clinical sequencing, genomic, protein, disease specific information, public sources, | NCI R21CA029533; NCI P50CA221745; NCI P30CA008748 |
PMID:30787465 | Free, Freely available, | SCR_026552 | Pathogenicity of Mutation Analyzer | 2026-02-15 09:24:03 | 0 | |||||||
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PEtab Resource Report Resource Website |
PEtab (RRID:SCR_026915) | source code, software resource | Repository contains PEtab specifications and additional documentation. Data format for specifying parameter estimation problems in systems biology. SBML and TSV based data format for parameter estimation problems in systems biology. Human- and computer- readable format for representing parameter estimation problems in systems biology. | SBML, TSV, data format, parameter estimation problems, systems biology, specifying parameter estimation problems, | European Unions Horizon 2020 ; NCI U54 CA225088 |
PMID:33497393 | Free, Available for download, Freely available | https://github.com/PEtab-dev/PEtab https://zenodo.org/records/3732958 |
SCR_026915 | 2026-02-15 09:23:26 | 0 | ||||||||
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signifinder Resource Report Resource Website |
signifinder (RRID:SCR_027141) | software toolkit, software resource | Software R package designed to streamline collection and use of cancer transcriptional signatures across bulk, single-cell, and spatial transcriptomics data. Used for collection and implementation of public transcriptional cancer signatures. | Collection and implementation of public transcriptional cancer signatures, transcriptional cancer signatures, transcriptomics data, | Italian Association for Cancer Research ; NCI U24CA180996; Chan Zuckerberg Initiative |
PMID:39363890 | Free, Available for download, Freely available | https://github.com/CaluraLab/signifinder | SCR_027141 | 2026-02-15 09:24:05 | 0 | ||||||||
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CellMinerCDB Resource Report Resource Website 10+ mentions |
CellMinerCDB (RRID:SCR_025649) | web application, software resource | Web application integrating cancer cell line pharmacogenomics. Enables exploration and analysis of cancer cell line pharmacogenomic data across different sources. Focuses on cancer patient-derived human cell line molecular and pharmacological data. CellMinerCDB (v1.2) includes several improvements. | integrating cancer cell line pharmacogenomics, exploration and analysis of cancer cell line pharmacogenomic data, exploration and analysis, cancer cell line, pharmacogenomic data | is used by: National Cancer Institute Genomics and Pharmacology Core Facility | NIGMS P41 GM103504; NCI |
PMID:30553813 PMID:30553813 |
Free, Freely available, | SCR_025649 | , Cell Miner CDB, CellMiner Cross-Database, CellMinerCDB 1.2 | 2026-02-15 09:23:57 | 11 | |||||||
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scRepertoire Resource Report Resource Website 50+ mentions |
scRepertoire (RRID:SCR_025691) | software toolkit, software resource | Software R toolkit for analyzing single-cell immune repertoire profiling. Used for single-cell immune receptor analysis. | single-cell immune receptor analysis, single-cell immune repertoire profiling, | NCI CA206255 | PMID:32789006 | Free, Available for download, Freely available | https://bioconductor.org/packages/release/bioc/html/scRepertoire.html | SCR_025691 | 2026-02-15 09:23:05 | 62 | ||||||||
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OncoTree Resource Report Resource Website 10+ mentions |
OncoTree (RRID:SCR_026218) | data or information resource, topical portal, disease-related portal, portal | Community-driven cancer classification platform encompassing rare and common cancers that provides clinically relevant and appropriately granular cancer classification for clinical decision support systems and oncology research. Cancer classification system for precision oncology. | cancer classification platform, rare and common cancers, cancer classification, precision oncology, | cancer | NCI P30 CA008748 | PMID:33625877 | Free, Freely available | SCR_026218 | 2026-02-15 09:24:01 | 14 | ||||||||
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TooManyCells Resource Report Resource Website 1+ mentions |
TooManyCells (RRID:SCR_025328) | source code, software toolkit, software resource | Software suite of tools, algorithms, and visualizations focusing on relationships between cell clades. This includes new ways of clustering, plotting, choosing differential expression comparisons. Identifies and visualizes relationships of single-cell clades. | Spectral clustering, radial tree, visualization, cell clades, |
is related to: too-many-cells-python is related to: TooManyCellsInteractive |
NCI T32 CA009140; NCI R01 CA215518; NHLBI R01 HL145754; Sloan Foundation ; NCI R01 CA230800 |
PMID:32123397 | Free, Available for download, Freely available | https://gregoryschwartz.github.io/too-many-cells/ | SCR_025328 | 2026-02-15 09:23:50 | 4 | |||||||
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MRDetect Resource Report Resource Website |
MRDetect (RRID:SCR_024766) | software application, data processing software, data analysis software, software resource | Software application to estimate presence of MRD in plasma cfDNA WGS through evaluation of matched tumour-derived mutations (SNVs or CNVs). | estimate presence of MRD in plasma cfDNA WGS, evaluation of matched tumour-derived mutations, | NCI DP2 CA239065 | PMID:32483360 | Restricted | SCR_024766 | 2026-02-15 09:23:51 | 0 | |||||||||
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GenVisR Resource Report Resource Website 10+ mentions |
GenVisR (RRID:SCR_027559) | software toolkit, software resource | Software R package for visualizing genomics data. Provides a user-friendly, flexible and comprehensive suite of tools for visualizing complex genomic data in three categories (small variants, copy number alterations and data quality) for multiple species of interest. | visualizing genomics data, genomics, genomics data, small variants, copy number alterations, data quality, multiple species, | NHGRI K99HG007940; NCI K22CA188163 |
PMID:27288499 | Free, Available for download, Freely available | SCR_027559 | 2026-02-15 09:23:34 | 41 | |||||||||
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PILGRM Resource Report Resource Website 1+ mentions |
PILGRM (RRID:SCR_004749) | PILGRIM | production service resource, service resource, data analysis service, analysis service resource | PILGRM (the platform for interactive learning by genomics results mining) puts advanced supervised analysis techniques applied to enormous gene expression compendia into the hands of bench biologists. This flexible system empowers its users to answer diverse biological questions that are often outside of the scope of common databases in a data-driven manner. This capability allows domain experts to quickly and easily generate hypotheses about biological processes, tissues or diseases of interest. Specifically PILGRM helps biologists generate these hypotheses by analyzing the expression levels of known relevant genes in large compendia of microarray data. PILGRM is for the biologist with a set of proteins relevant to a disease, biological function or tissue of interest who wants to find additional players in that process. It uses a data driven method that provides added value for literature search results by mining compendia of publicly available gene expression datasets using lists of relevant and irrelevant genes (standards). PILGRM produces publication quality PDFs usable as supplementary material to describe the computational approach, standards and datasets. Each PILGRM analysis starts with an important biological question (e.g. What genes are relevant for breast cancer but not mammary tissue in general?). For PILGRM to discover relevant genes, it needs examples of both genes that you would (positive) and would not (negative) find interesting. Lists of these genes are what we call standards and in PILGRM you can build your own standards or you can use standards from common sources that we pre-load for your convenience. PILGRM lets you build your own literature-documented standards so that processes, disease, and tissues that are not well covered in databases of tissue expression, disease, or function can still be used for an analysis. | data mining, gene expression, user directed data mining, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Princeton University; New Jersey; USA |
NSF DBI-0546275; NIGMS R01 GM071966; NIGMS P50 GM071508; NCI T32 CA005928 |
PMID:21653547 | nlx_75372, biotools:pilgrm | https://bio.tools/pilgrm | SCR_004749 | Platform for Interactive Learning by Genomics Results Mining | 2026-02-16 09:46:22 | 1 |
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