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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Ascidian Stock Center (ASC) Resource Report Resource Website 1+ mentions |
Ascidian Stock Center (ASC) (RRID:SCR_014949) | ASC | biomaterial supply resource, organism supplier, material resource | Supplier of Ciona (C. robusta and C. savignyi) adults and stable transgenic animals expressing tissue-specific fluorescent proteins for research laboratories. This ascidian culturing facility is located at the marine laboratory of the University of California at Santa Barbara (UCSB). | ascidian, model organism, ciona, embryology, marine organism, culturing facility | is hosted by: University of California at Santa Barbara; California; USA | NIGMS R24GM07504 | Acknowledgement requested | SCR_014949 | Ascidian Stock Center | 2026-02-14 02:03:03 | 1 | |||||||
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Caenorhabditis elegans Natural Diversity Resource (CeNDR) Resource Report Resource Website 10+ mentions |
Caenorhabditis elegans Natural Diversity Resource (CeNDR) (RRID:SCR_014958) | CeNDR | biomaterial supply resource, organism supplier, material resource | Supplier and researcher of wild C. elegans strains. CeNDR supplies organisms, analyzes whole-genome sequences, and facilitates genetic mappings to aid researchers in gene discovery. | c. elegans, caenorhabditis elegans, strains, n2, roundworm, nematode, gene analysis, organism supplier, portal | has parent organization: Northwestern University; Illinois; USA | American Cancer Society Research Scholar Award ; Amazon Web Services Research Grant ; Weinberg College of Arts and Sciences starter innovation award ; Northwestern University Start-up Funds ; NIGMS R01GM107227; NSF DGE-1324585 |
PMID:27701074 | Available to the research community | SCR_014958 | Caenorhabditis elegans Natural Diversity Resource | 2026-02-14 02:02:47 | 22 | ||||||
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microRNA.org Resource Report Resource Website 1000+ mentions |
microRNA.org (RRID:SCR_006997) | microRNA.org | data or information resource, software resource, database | Database of microRNA target predictions and expression profiles. Target predictions are based on a development of the miRanda algorithm which incorporates current biological knowledge on target rules and on the use of an up-to-date compendium of mammalian microRNAs. MicroRNA expression profiles are derived from a comprehensive sequencing project of a large set of mammalian tissues and cell lines of normal and disease origin. This website enables users to explore: * The set of genes that are potentially regulated by a particular microRNA. * The implied cooperativity of multiple microRNAs on a particular mRNA. * MicroRNA expression profiles in various mammalian tissues. The web resource provides users with functional information about the growing number of microRNAs and their interaction with target genes in many species and facilitates novel discoveries in microRNA gene regulation. The microRNA Target Detection Software, miRanda, is an algorithm for finding genomic targets for microRNAs. This algorithm has been written in C and is available as an open-source method under the GPL., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | microrna, gene, expression, gene regulation, FASEB list |
is listed by: OMICtools is listed by: SoftCite |
NIGMS ; Atlantic Philanthropies ; Alfred W. Bressler Scholars Endowment Fund |
PMID:18158296 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03127, OMICS_00402 | SCR_006997 | microRNA.org - Targets and Expression | 2026-02-14 02:01:25 | 2648 | |||||
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Physiobank Resource Report Resource Website 10+ mentions |
Physiobank (RRID:SCR_006949) | PhysioBank | data repository, storage service resource, catalog, data or information resource, service resource, database | Archive of well-characterized digital recordings of physiologic signals and related data for use by the biomedical research community. PhysioBank currently includes databases of multi-parameter cardiopulmonary, neural, and other biomedical signals from healthy subjects and patients with a variety of conditions with major public health implications, including sudden cardiac death, congestive heart failure, epilepsy, gait disorders, sleep apnea, and aging. The PhysioBank Archives now contain over 700 gigabytes of data that may be freely downloaded. PhysioNet is seeking contributions of data sets that can be made freely available in PhysioBank. Contributions of digitized and anonymized (deidentified) physiologic signals and time series of all types are welcome. If you have a data set that may be suitable, please review PhysioNet''s guidelines for contributors and contact them. | physiologic, signal, data, biomedical, research, community, cardiopulmonary, neural, biomedical, health, cardiac, death, congestive heart failure, epilepsy, gait, disorder, sleep apnea, bibliographic, normal, physiologic signal, time series, FASEB list |
is used by: NIF Data Federation is used by: Integrated Datasets is related to: PhysioToolkit is parent organization of: Gait in Aging and Disease Database is parent organization of: Gait in Parkinson's Disease is parent organization of: Gait Dynamics in Neuro-Degenerative Disease Data Base is parent organization of: Noise Enhancement of Sensorimotor Function |
Healthy, Sudden cardiac death, Congestive heart failure, Epilepsy, Gait disorder, Sleep apnea, Aging | NIGMS ; NIBIB U01-EB-008577 |
PMID:10851218 | Free, The community can contribute to this resource, Acknowledgement requested | nlx_48903, r3d100011236 | https://doi.org/10.17616/R3J048 | SCR_006949 | 2026-02-14 02:01:24 | 39 | ||||
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Rankprop - Protein Ranking by Network Propagation Resource Report Resource Website |
Rankprop - Protein Ranking by Network Propagation (RRID:SCR_007159) | web service, source code, service resource, data access protocol, software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on May,18,2020. Ranking algorithm that exploits global network structure of similarity relationships among proteins in database by performing diffusion operation on protein similarity network with weighted edges. Source code and web server for searching non-redundant protein database. Web server ranks proteins found in NRDB40 (from PairsDB) against query sequence of amino acids using Rankprop algorithm. | Ranking algorithm, network structure, protein database, similarity relationship, protein similarity network, weighted adges, non redundat protein database, protein database search | has parent organization: University of Washington; Seattle; USA | NSF EIA-0312706; NSF DBI-0243257; NIGMS GM74257 |
PMID:16723003 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_50351 | http://rankprop.gs.washington.edu/info.php | SCR_007159 | Rankprop | 2026-02-14 02:01:21 | 0 | |||||
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HumanCyc: Encyclopedia of Homo sapiens Genes and Metabolism Resource Report Resource Website 50+ mentions |
HumanCyc: Encyclopedia of Homo sapiens Genes and Metabolism (RRID:SCR_007050) | HumanCyc | data analysis service, analysis service resource, data or information resource, production service resource, service resource, software resource, database | The HumanCyc database describes human metabolic pathways and the human genome. By presenting metabolic pathways as an organizing framework for the human genome, HumanCyc provides the user with an extended dimension for functional analysis of Homo sapiens at the genomic level. A computational pathway analysis of the human genome assigned human enzymes to predicted metabolic pathways. Pathway assignments place genes in their larger biological context, and are a necessary step toward quantitative modeling of metabolism. HumanCyc contains the complete genome sequence of Homo sapiens, as presented in Build 31. Data on the human genome from Ensembl, LocusLink and GenBank were carefully merged to create a minimally redundant human gene set to serve as an input to SRI''s PathoLogic software, which generated the database and predicted Homo sapiens metabolic pathways from functional information contained in the genome''s annotation. SRI did not re-annotate the genome, but worked with the gene function assignments in Ensembl, LocusLink, and GenBank. The resulting pathway/genome database (PGDB) includes information on 28,783 genes, their products and the metabolic reactions and pathways they catalyze. Also included are many links to other databases and publications. The Pathway Tools software/database bundle includes HumanCyc and the Pathway Tools software suite and is available under license. This form of HumanCyc is faster and more powerful than the Web version. | enzyme, function, functional, gene, genome, genomic, human, human genome, metabolic, metabolism, mitochondrion, nucleotide, pathway, position, reaction, sequence, metabolomics, gene expression, bioreaction, metabolic pathway, nutrition, FASEB list |
is listed by: BioCyc is related to: Pathway Commons is related to: ConsensusPathDB is related to: BioCyc is related to: Pathway Tools has parent organization: Stanford Research Institute International |
Pharmaceutical company ; NIGMS GM092729 |
PMID:15642094 | Public | r3d100011286, nif-0000-21206 | https://doi.org/10.17616/R3ZS72 | SCR_007050 | 2026-02-14 02:01:20 | 60 | |||||
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Function BIRN Resource Report Resource Website 1+ mentions |
Function BIRN (RRID:SCR_007291) | FBIRN | data or information resource, portal, topical portal | The FBIRN Federated Informatics Research Environment (FIRE) includes tools and methods for multi-site functional neuroimaging. This includes resources for data collection, storage, sharing and management, tracking, and analysis of large fMRI datasets. fBIRN is a national initiative to advance biomedical research through data sharing and online collaboration. BIRN provides data-sharing infrastructure, software tools, strategies and advisory services - all from a single source. | fmri, 3d model, data storage, imaging, map, morphology, mri, neuroinformatics, segmentation, software, talairach, volume, warping, analyze, application, c++, csh/tcsh, data, database, database application, data resource, dicom, javascript, linux, magnetic resonance, nifti, ontology, pl/sql, posix/unix-like, python, quality metrics, spatial transformation, statistical operation, tcl/tk, unix shell, visualization, web resource, web service, workflow |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Biomedical Informatics Research Network is parent organization of: BXH/XCEDE Tools is parent organization of: FBIRN Image Processing Scripts |
NIGMS ; NCRR 1U24-RR025736; NCRR U24-RR021992; NCRR U24-RR021760; NCRR 1U24-RR026057-01 |
nif-0000-00070 | http://www.nitrc.org/projects/fbirn | http://nbirn.net/tools/browse_tools.shtm | SCR_007291 | Functional Imaging BIRN | 2026-02-14 02:01:20 | 2 | |||||
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Yeast snoRNA Database Resource Report Resource Website 1+ mentions |
Yeast snoRNA Database (RRID:SCR_007980) | data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | A database of S. cerevisiae H/ACA and C/D box snoRNAs, useful for research on rRNA nucleotide modifications in the ribosome, especially those created by small nucleolar RNA:protein complexes (snoRNPs). The interactive service enables a user to visualize the positions of pseudouridines, 2'-O-methylations, and base methylations in three-dimensional space in the ribosome and also in linear and secondary structure formats of ribosomal RNA. The tools provide additional perspective on where the modifications occur relative to functional regions within the rRNA and relative to other nearby modifications. This package of tools is presented as a major enhancement of an existing but significantly upgraded yeast snoRNA database. The other key features of the enhanced database include details of the base pairing of snoRNAs with target RNAs, genomic organization of the yeast snoRNA genes, and information on corresponding snoRNAs and modifications in other model organisms. | saccharomyces cerevisiae |
is related to: 3D Ribosomal Modification Maps Database has parent organization: University of Massachusetts Amherst; Massachusetts; USA |
U.S. Public Health Service ; NIGMS GM19351 |
PMID:17283215 | nif-0000-03651 | http://www.bio.umass.edu/biochem/rna-sequence/Yeast_snoRNA_Database/snoRNA_DataBase.html | SCR_007980 | Yeast snoRNA Database at UMass-Amherst | 2026-02-14 02:01:31 | 1 | ||||||
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LIPID Metabolites And Pathways Strategy Resource Report Resource Website 1000+ mentions |
LIPID Metabolites And Pathways Strategy (RRID:SCR_006579) | LIPID MAPS | data or information resource, narrative resource, database, standard specification | Multi-institutional supported website and database that provides access to large number of globally used lipidomics resources. Internationally led the field of lipid curation, classification, and nomenclature since 2003. Produces new open-access databases, informatics tools and lipidomics-focused training activities will be generated and made publicly available for researchers studying lipids in health and disease. | lipid, pathway, classification, metabolomics, metabolite, FASEB list |
is listed by: NIDDK Information Network (dkNET) has parent organization: University of California at San Diego; California; USA is parent organization of: LIPID MAPS Proteome Database is parent organization of: LIPID MAPS Structure Database |
NIGMS ; Glue Grant |
Free, Freely available | nif-0000-00368, SCR_026208, r3d100012315 | https://doi.org/10.17616/R3WW7G | SCR_006579 | , LIPID Maps database, LIPID Metabolites And Pathways Strategy database, LIPID Maps | 2026-02-14 02:01:19 | 1266 | |||||
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InterPro Resource Report Resource Website 5000+ mentions |
InterPro (RRID:SCR_006695) | InterPro | web service, data analysis service, analysis service resource, data or information resource, production service resource, service resource, data access protocol, software resource, database | Service providing functional analysis of proteins by classifying them into families and predicting domains and important sites. They combine protein signatures from a number of member databases into a single searchable resource, capitalizing on their individual strengths to produce a powerful integrated database and diagnostic tool. This integrated database of predictive protein signatures is used for the classification and automatic annotation of proteins and genomes. InterPro classifies sequences at superfamily, family and subfamily levels, predicting the occurrence of functional domains, repeats and important sites. InterPro adds in-depth annotation, including GO terms, to the protein signatures. You can access the data programmatically, via Web Services. The member databases use a number of approaches: # ProDom: provider of sequence-clusters built from UniProtKB using PSI-BLAST. # PROSITE patterns: provider of simple regular expressions. # PROSITE and HAMAP profiles: provide sequence matrices. # PRINTS provider of fingerprints, which are groups of aligned, un-weighted Position Specific Sequence Matrices (PSSMs). # PANTHER, PIRSF, Pfam, SMART, TIGRFAMs, Gene3D and SUPERFAMILY: are providers of hidden Markov models (HMMs). Your contributions are welcome. You are encouraged to use the ''''Add your annotation'''' button on InterPro entry pages to suggest updated or improved annotation for individual InterPro entries. | protein, classify, prediction, protein domain, genome, protein family, functional site, protein sequence, protein function, analysis, nucleic acid, amino acid, amino acid sequence, gold standard |
is listed by: re3data.org is listed by: OMICtools is related to: TIGRFAMS is related to: TIGRFAMS is related to: FlyMine is related to: GeneSpeed- A Database of Unigene Domain Organization is related to: Biomine is related to: InterProScan is related to: GeneTerm Linker is related to: Gene Ontology is related to: ProDom is related to: Algal Functional Annotation Tool has parent organization: European Bioinformatics Institute |
European Union FP7 Scientific Data Repositories 213037; BBSRC BB/F010508/1; NIGMS GM081084 |
PMID:22096229 PMID:21082426 PMID:18940856 PMID:18428686 PMID:18025686 PMID:17202162 PMID:16909843 PMID:15608177 PMID:12520011 PMID:12230031 PMID:11159333 PMID:11119311 PMID:11125043 |
Acknowledgement requested, Free, Public, The community can contribute to this resource | nif-0000-03035, OMICS_01694, r3d100010798 | https://doi.org/10.17616/R3FS61 | SCR_006695 | InterPro: protein sequence analysis & classification, InterPro protein sequence analysis and classification | 2026-02-14 02:01:22 | 7000 | ||||
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WebGestalt: WEB-based GEne SeT AnaLysis Toolkit Resource Report Resource Website 1000+ mentions |
WebGestalt: WEB-based GEne SeT AnaLysis Toolkit (RRID:SCR_006786) | WebGestalt | data access protocol, software resource, web service, web application | Web based gene set analysis toolkit designed for functional genomic, proteomic, and large-scale genetic studies from which large number of gene lists (e.g. differentially expressed gene sets, co-expressed gene sets etc) are continuously generated. WebGestalt incorporates information from different public resources and provides a way for biologists to make sense out of gene lists. This version of WebGestalt supports eight organisms, including human, mouse, rat, worm, fly, yeast, dog, and zebrafish. | proteomic, gene expression, genome wide association study, statistical analysis, functional genomics, protein protein interaction, pathway, regulatory module, analysis toolkit, web application |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology is related to: Entrez Gene is related to: KEGG is related to: Pathway Commons is related to: WikiPathways is related to: PheWAS Catalog is related to: webgestaltr has parent organization: Vanderbilt University; Tennessee; USA |
NIAAA U01 AA016662; NIAAA U01 AA013512; NIDA P01 DA015027; NIMH P50 MH078028; NIMH P50 MH096972; NCI U24 CA159988; NIGMS R01 GM088822 |
PMID:24233776 PMID:15980575 PMID:14975175 |
Free, Freely available | OMICS_02222, nif-0000-30622 | http://bioinfo.vanderbilt.edu/webgestalt/ | SCR_006786 | GOTM, Gene Ontology Tree Machine, WebGestalt2, WEB-based GEne SeT AnaLysis Toolkit, WebGestalt | 2026-02-14 02:01:23 | 2760 | ||||
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SVM-fold: Protein Fold Prediction Resource Report Resource Website |
SVM-fold: Protein Fold Prediction (RRID:SCR_006834) | SVM-fold | service resource | This web server makes predictions of family, superfamily and fold level classifications of proteins based on the Structural Classification of Proteins (SCOP) hierarchy using the Support Vector Machine (SVM) learning algorithm. SVM-FOLD detects subtle protein sequence similarities by learning from all available annotated proteins, as well as utilizing potential hits as identified by PSI-BLAST. Predictions of classes of proteins that do not have any known example with a significant pairwise PSI-BLAST E-value can still be found using SVMs. | has parent organization: University of Washington; Seattle; USA | NIGMS GM74257-01; NSF EIA-0312706 |
nlx_17631 | http://svm-fold.c2b2.columbia.edu/ | SCR_006834 | SVM-fold, Support Vector Machine fold | 2026-02-14 02:01:14 | 0 | |||||||
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Open Clinical Report Repository Resource Report Resource Website |
Open Clinical Report Repository (RRID:SCR_013585) | data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. Repository of de-identified clinical reports available for NLP researchers has been designed. Work with the AMIA NLP working group in designing annotation schemas and obtaining annotations, design a repository for shareable annotations, help design and execute a shared task in IE from clinical reports. The University of Pittsburgh NLP Repository contains clinical reports that are available to the community for NLP research purposes and comprises: # Report Repository - one month of de-identified clinical reports from multiple hospitals and # Annotation Repository - annotations performed on reports from the Report Repository. Anyone performing annotations on reports from the NLP Repository is required to deposit their annotations. The Repository contains reports of the following types generated from multiple hospitals during a single month: * History and Physicals * Progress Notes * Consultation Reports * Radiology Reports * Surgical Pathology Reports * Emergency Department Reports * Discharge Summaries * Operative Reports * Cardiology Reports | annotation, clinical, repository, report, de-identification, information extraction, natural language processing, clinical report |
is listed by: Biositemaps has parent organization: University of Pittsburgh; Pennsylvania; USA |
NIGMS ; NIST |
PMID:17317291 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-33412 | http://www.dbmi.pitt.edu/blulab/projects.asp#5 | SCR_013585 | Open clinical report and annotation repository, Open Clinical Report Repository | 2026-02-14 02:02:31 | 0 | |||||
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Pathway Tools Resource Report Resource Website 10+ mentions |
Pathway Tools (RRID:SCR_013786) | data management software, software resource, software toolkit, software application | A software application which supplies software tools to develop and maintain pathway/genome databases (PGDBs). These include the development of organism-specific databases, metabolic reconstruction and metabolic-flux modeling, scientific visualization and web publishing of organism-specific databases, analysis of gene-expression and metabolomics datasets, comparative genome and pathway analyses, and analysis of biological networks. | software application, bioinformatics, software, software system, pathway genome database, PGDB, bio.tools |
is used by: BioCyc is used by: EcoCyc is used by: MetaCyc is listed by: BioCyc is listed by: bio.tools is listed by: Debian is related to: BioCyc is related to: MetaCyc is related to: EcoCyc is related to: HumanCyc: Encyclopedia of Homo sapiens Genes and Metabolism is related to: BioCyc |
NIGMS GM077678; NIGMS GM080746; NIGMS GM75742 |
DOI:10.1093/bib/bbp043 | biotools:pathway_tools | http://bioinformatics.ai.sri.com/ptools/ptools-overview.html https://bio.tools/pathway_tools |
SCR_013786 | Pathway Tools Bioinformatics Software, Pathway Tools Software | 2026-02-14 02:02:31 | 23 | ||||||
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Phenix Resource Report Resource Website 10000+ mentions |
Phenix (RRID:SCR_014224) | data processing software, software application, software resource, image reconstruction software, image analysis software | A Python-based software suite for the automated determination of molecular structures using X-ray crystallography and other methods. Phenix includes programs for assessing data quality, experimental phasing, molecular replacement, model building, structure refinement, and validation. It also includes tools for reflection data and creating maps and models. Phenix can also be used for neutron crystallography. Tutorials and examples are available in the documentation tab. | automation, molecular structure, xray crystallography, neutron crystallography, image reconstruction software |
is listed by: SoftCite is affiliated with: Phaser is related to: MolProbity has parent organization: Lawrence Berkeley National Laboratory has parent organization: University of California at Berkeley; Berkeley; USA provides: Phenix.refine |
NIGMS | Available for download, Free for nonprofit work, Acknowledgement requested, For profit groups may access PHENIX through a Consortium agreement | https://www.phenix-online.org/documentation/ | SCR_014224 | Python-based Hierarchical ENvironment for Integrated Xtallography | 2026-02-14 02:02:38 | 10587 | |||||||
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PILGRM Resource Report Resource Website 1+ mentions |
PILGRM (RRID:SCR_004749) | PILGRIM | data analysis service, production service resource, service resource, 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 | 2026-02-14 02:06:19 | 1 | |||||
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Biomedical Computation Review Resource Report Resource Website |
Biomedical Computation Review (RRID:SCR_004866) | Biomedical Computation Review | data or information resource, narrative resource, blog | Magazine published by Simbios, a National NIH Center for Biomedical Computing, covering the latest research wherever computation, biology, and medicine intersect. In addition to disseminating information about the latest research in biomedical computation, they aim to foster community amongst the wide audience interested in any and all aspects of biomedical computing. Whether you are a long time researcher in this area or new to it, please consider joining those who have already started to participate in Biomedical Computation Review. You are encouraged to: * Write a letter to the editor on any relevant topics * Suggest your favorite topics that should receive more attention * Suggest an idea for a feature article * Propose an idea for an Under the Hood tutorial * Tell us any other way in which we can better serve this community | biomedical computing, computation, biology, medicine |
is related to: Simbios has parent organization: Simbios |
NIH Roadmap for Medical Research ; NIGMS U54 GM072970 |
nlx_84418 | http://biomedicalcomputationreview.org/index.html | SCR_004866 | 2026-02-14 02:06:20 | 0 | |||||||
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SCAN Resource Report Resource Website 500+ mentions |
SCAN (RRID:SCR_005185) | SCAN | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 17, 2022. A large-scale database of genetics and genomics data associated to a web-interface and a set of methods and algorithms that can be used for mining the data in it. The database contains two categories of single nucleotide polymorphism (SNP) annotations: # Physical-based annotation where SNPs are categorized according to their position relative to genes (intronic, inter-genic, etc.) and according to linkage disequilibrium (LD) patterns (an inter-genic SNP can be annotated to a gene if it is in LD with variation in the gene). # Functional annotation where SNPs are classified according to their effects on expression levels, i.e. whether they are expression quantitative trait loci (eQTLs) for that gene. SCAN can be utilized in several ways including: (i) queries of the SNP and gene databases; (ii) analysis using the attached tools and algorithms; (iii) downloading files with SNP annotation for various GWA platforms. . eQTL files and reported GWAS from NHGRI may be downloaded., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | single nucleotide polymorphism, copy number variation, annotation, genetics, genomics, genome-wide association study, gene, linkage disequilibrium, function, expression quantitative trait loci, expression, quantitative trait loci, chromosome, chromosome region, affymetrix, cerebellum, parietal, liver |
is listed by: OMICtools is listed by: SoftCite has parent organization: University of Chicago; Illinois; USA |
NIMH R01MH090937; NHLBI U01HL084715; NIGMS U01GM61393; NIDDK P60 DK20595; NCI P50 CA125183 |
PMID:25818895 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00181 | SCR_005185 | SCAN: SNP and CNV Annotation Database, SCAN - SNP and CNV Annotation Database | 2026-02-14 02:06:25 | 740 | |||||
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TopoSNP Resource Report Resource Website 1+ mentions |
TopoSNP (RRID:SCR_005572) | TopoSNP | data or information resource, database | A topographic database for analyzing non-synonymous SNPs (nsSNPs) that can be mapped onto known 3D structures of proteins. These include disease- associated nsSNPs derived from the Online Mendelian Inheritance in Man (OMIM) database and other nsSNPs derived from dbSNP, a resource at the National Center for Biotechnology Information that catalogs SNPs. TopoSNP further classifies each nsSNP site into three categories based on their geometric location: those located in a surface pocket or an interior void of the protein, those on a convex region or a shallow depressed region, and those that are completely buried in the interior of the protein structure. These unique geometric descriptions provide more detailed mapping of nsSNPs to protein structures. It also includes relative entropy of SNPs calculated from multiple sequence alignment as obtained from the Pfam database (a database of protein families and conserved protein motifs) as well as manually adjusted multiple alignments obtained from ClustalW. These structural and conservational data can be useful for studying whether nsSNPs in coding regions are likely to lead to phenotypic changes. TopoSNP includes an interactive structural visualization web interface, as well as downloadable batch data. | visualization, disease, non-disease, non-synonymous single nucleotide polymorphism, topographic mapping, single nucleotide polymorphism, 3d structure, protein, protein structure, coding region, entropy |
is listed by: OMICtools is related to: OMIM is related to: dbSNP is related to: Pfam is related to: Clustal W2 has parent organization: University of Illinois at Chicago; Illinois; USA |
NSF DBI0133856; NSF DBI0078270; NSF MCB998008; NIGMS GM68958 |
PMID:14681472 | nif-0000-03570, OMICS_00191 | SCR_005572 | topographic mapping of Single Nucleotide Polymorphism | 2026-02-14 02:05:57 | 4 | ||||||
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lapdftext Resource Report Resource Website |
lapdftext (RRID:SCR_006167) | lapdftext, LA-PDFText, | software resource, text extraction software, software application | Software that facilitates accurate extraction of text from PDF files of research articles for use in text mining applications. It is intended for both scientists and natural language processing (NLP) engineers interested in getting access to text within specific sections of research articles. The system extracts text blocks from PDF-formatted full-text research articles and classifies them into logical units based on rules that characterize specific sections. The LA-PDFText system focuses only on the textual content of the research articles. The current version of LA-PDFText is a baseline system that extracts text using a three-stage process: * identification of blocks of contiguous text * classification of these blocks into rhetorical categories * extraction of the text from blocks grouped section-wise. | text mining, pdf, text extraction, natural language processing |
is listed by: FORCE11 has parent organization: University of Southern California; Los Angeles; USA |
NSF 0849977; NIGMS RO1-GM083871; NIMH 1R01MH079068-01A2; NCRR U24 RR025736-01 |
PMID:22640904 | Acknowledgement requested, GNU General Public License, v3 | nlx_151668 | SCR_006167 | Layout-Aware PDF Text Extraction, Layout-Aware Text Extraction from Full-text PDF of Scientific Articles, lapdftext: Layout-Aware Text Extraction from Full-text PDF of Scientific Articles | 2026-02-14 02:05:54 | 0 |
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