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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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GoFish Resource Report Resource Website 1+ mentions |
GoFish (RRID:SCR_005682) | GoFish | service resource, analysis service resource, source code, software resource, data analysis service, production service resource | Software program, available as a Java applet online or to download, allows the user to select a subset of Gene Ontology (GO) attributes, and ranks genes according to the probability of having all those attributes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, ontology or annotation browser, java, windows, mac os x, linux, unix, bio.tools |
is listed by: Gene Ontology Tools is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: University of Toronto; Ontario; Canada has parent organization: Harvard Medical School; Massachusetts; USA |
Aventis Pharmaceuticals ; Howard Hughes Medical Institute ; NHGRI |
PMID:12691998 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:gofish, nlx_149126, OMICS_02272 | http://llama.mshri.on.ca/Software.html, https://bio.tools/gofish | SCR_005682 | 2026-08-11 09:41:18 | 1 | |||||
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Hepatitis C Virus Database (HCVdb) Resource Report Resource Website 1+ mentions |
Hepatitis C Virus Database (HCVdb) (RRID:SCR_005718) | HCVdb, | service resource, analysis service resource, data or information resource, database, data analysis service, production service resource | The Hepatitis C Virus Database (HCVdb) is a cooperative project of several groups with the mission of providing to the scientific community studying the hepatitis C virus a comprehensive battery of informational and analytical tools. The Viral Bioinformatics Resource Center (VBRC), the Immune Epitope Database and Analysis Resource (IEDB), the Broad Institute Microbial Sequencing Center (MSC), and the Los Alamos HCV Sequence Database (HCV-LANL) are combining forces to acquire and annotate data on Hepatitis C virus, and to develop and utilize new tools to facilitate the study of this group of organisms. | hepatitis c, hepatitis c virus, genome, gene, virus, ortholog comparison, ortholog | has parent organization: VBRC | Hepatitis C virus | NIAID contract HHSN266200400036C | nlx_149175 | SCR_005718 | Hepatitis C Viral Database | 2026-08-11 09:41:11 | 4 | ||||||
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ccPDB - Compilation and Creation of datasets from PDB Resource Report Resource Website 1+ mentions |
ccPDB - Compilation and Creation of datasets from PDB (RRID:SCR_005870) | ccPDB | data or information resource, database, web service, software resource, data access protocol | ccPDB (Compilation and Creation of datasets from PDB) is designed to provide service to scientific community working in the field of function or structure annoation of proteins. This database of datasets is based on Protein Data Bank (PDB), where all datasets were derived from PDB. ccPDB have four modules; i) compilation of datasets, ii) creation of datasets, iii) web services and iv) Important links. * Compilation of Datasets: Datasets at ccPDB can be classified in two categories, i) datasets collected from literature and ii) datasets compiled from PDB. We are in process of collecting PDB datasetsfrom literature and maintaining at ccPDB. We are also requesting community to suggest datasets. In addition, we generate datasets from PDB, these datasets were generated using commonly used standard protocols like non-redundant chains, structures solved at high resolution. * Creation of datasets: This module developed for creating customized datasets where user can create a dataset using his/her conditions from PDB. This module will be useful for those users who wish to create a new dataset as per ones requirement. This module have six steps, which are described in help page. * Web Services: We integrated following web services in ccPDB; i) Analyze of PDB ID service allows user to submit their PDB on around 40 servers from single point, ii) BLAST search allows user to perform BLAST search of their protein against PDB, iii) Structural information service is designed for annotating a protein structure from PDB ID, iv) Search in PDB facilitate user in searching structures in PDB, v)Generate patterns service facility to generate different types of patterns required for machine learning techniques and vi) Download useful information allows user to download various types of information for a given set of proteins (PDB IDs). * Important Links: One of major objectives of this web site is to provide links to web servers related to functional annotation of proteins. In first phase we have collected and compiled these links in different categories. In future attempt will be made to collect as many links as possible. | secondary structure, nucleic acid interaction, ligand interaction, structure, nucleic acid, interaction, ligand, data set, function, protein, annotate, tight-turn, nucleotide interacting residue, metals interacting residue, dna/rna binding residue, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: Institute of Microbial Technology; Chandigarh; India |
OSDD ; DBT ; Council of Scientific and Industrial Research; New Delhi; India |
PMID:22139939 | biotools:ccpdb, nlx_149416 | https://bio.tools/ccpdb | SCR_005870 | Compilation and Creation of datasets from PDB, ccPDB - Compilation Creation of datasets from PDB | 2026-08-11 09:41:13 | 2 | |||||
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ESTScan Resource Report Resource Website 100+ mentions |
ESTScan (RRID:SCR_005742) | ESTScan | data analysis software, data processing software, software resource, software application | ESTScan is a program that can detect coding regions in DNA sequences, even if they are of low quality. ESTScan will also detect and correct sequencing errors that lead to frameshifts. ESTScan is not a gene prediction program , nor is it an open reading frame detector. In fact, its strength lies in the fact that it does not require an open reading frame to detect a coding region. As a result, the program may miss a few translated amino acids at either the N or the C terminus, but will detect coding regions with high selectivity and sensitivity. ESTScan takes advantages of the bias in hexanucleotide usage found in coding regions relative to non-coding regions. This bias is formalized as an inhomogeneous 3-periodic fifth-order Hidden Markov Model (HMM). Additionally, the HMM of ESTScan has been extended to allows insertions and deletions when these improve the coding region statistics. | dna, dna sequence, coding region, perl module, c, btlib perl module |
is listed by: Debian is listed by: OMICtools has parent organization: SourceForge |
PMID:10786296 | OMICS_08423, nlx_149202 | https://sources.debian.org/src/estscan/ | SCR_005742 | ESTScan project | 2026-08-11 09:41:11 | 291 | ||||||
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Hammer And WML Modules for 3D Slicer Resource Report Resource Website 1+ mentions |
Hammer And WML Modules for 3D Slicer (RRID:SCR_005980) | HAMMER, hammerwml | software application, image analysis software, registration software, software resource, segmentation software, data processing software | A software plugin for 3D Slicer that matches morphological signatures of medical images automatically. HAMMER is an acronym for Hierarchical Attribute Matching Mechanism for Elastic Registration (Dinggang Shen, Christos Davatzikos, HAMMER: Hierarchical Attribute Matching Mechanism for Elastic Registration, IEEE Trans. on Medical Imaging, 21(11):1421-1439, Nov 2002) - an elastic registration algorithm for medical images, matching morphological signatures of images in a hierarchical multi-scale regime. White matter lesion (WML) segmentation is a novel multi-spectral WML segmentation protocol via incorporating information from T1-w, T2-w, PD-w and FLAIR MR brain images. (Zhiqiang Lao, Dinggang Shen, Dengfeng Liu, Abbas F Jawad, Elias R Melhem, Lenore J Launer, Nick R Bryan, Christos Davatzikos, Computer-Assisted Segmentation of White Matter Lesions in 3D MR images, Using Pattern Recognition, Academic Radiology, 15(3):300-313, March 2008). | mri, registration, white matter lesion, segmentation |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: 3D Slicer has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA |
PMID:12575879 PMID:18280928 |
3D Slicer License | nlx_151352 | http://www.nitrc.org/projects/hammerwml | SCR_005980 | HAMMER: Hierarchical Attribute Matching Mechanism for Elastic Registration, Hierarchical Attribute Matching Mechanism for Elastic Registration and White matter lesion Modules for 3D Slicer | 2026-08-11 09:41:14 | 1 | |||||
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CLENCH Resource Report Resource Website 1+ mentions |
CLENCH (RRID:SCR_005735) | CLENCH | source code, data processing software, software resource, software application | Cluster Enrichment (CLENCH) allows A. thaliana researchers to perform automated retrieval of GO annotations from TAIR and calculate enrichment of GO terms in gene group with respect to a reference set. Before calculating enrichment, CLENCH allows mapping of the returned annotations to arbitrary coarse levels using GO slim term lists (which can be edited by the user) and a local installation of GO. Platform: Windows compatible, Linux compatible, | gene, microarray, function, functional categorization, statistical analysis, slimmer-type tool, gene ontology, annotation |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: TAIR has parent organization: Stanford Center for Biomedical Informatics Research |
PMID:14764555 | Free for academic use | nlx_149216 | http://www.personal.psu.edu/nhs109/Clench | SCR_005735 | CLENCH - Cluster Enrichment, CLENCH: A program for calculating cluster enrichment using the Gene Ontology, Cluster Enrichment, Cluster Enrichment (CLENCH) | 2026-08-11 09:41:11 | 4 | |||||
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Michael J. Fox Foundation for Parkinsons Research Resource Report Resource Website 50+ mentions |
Michael J. Fox Foundation for Parkinsons Research (RRID:SCR_006183) | MJFF | portal, topical portal, funding resource, data or information resource, disease-related portal | A Parkinson's research foundation dedicated to finding a cure for Parkinson's disease and to ensuring the development of improved therapies. Pipeline Programs fund investigator-initiated proposals focused on the following critical points along the translational pathway to new therapies for Parkinson's disease. | parkinson's disease, clinical, translational, foundational, research, funding resource |
is related to: Biomarkers Across Neurodegenerative Diseases is parent organization of: Michael J. Fox Foundation Funded Grants is parent organization of: Biomarkers Across Neurodegenerative Diseases is parent organization of: Parkinson's Progression Markers Initiative is parent organization of: Parkinson's Disease Online Research |
Public, Funding available to researchers | nif-0000-00518 | SCR_006183 | Michael J. Fox Foundation for Parkinson's Research, Michael J. Fox Foundation | 2026-08-11 09:41:16 | 76 | |||||||
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University of Athens Biophysics and Bioinformatics Laboratory Resource Report Resource Website 1+ mentions |
University of Athens Biophysics and Bioinformatics Laboratory (RRID:SCR_006180) | University of Athens Biophysics & Bioinformatics Laboratory | portal, data or information resource, degree granting program, graduate program resource, training resource, organization portal, undergraduate program resource, laboratory portal | Laboratory focuses on research related to the elucidation of the principles governing protein structure and function, under the supervision of Professor Stavros J. Hamodrakas. In particular, original research is carried out along two main axes: # Algorithm development for the prediction of protein structure, function and interactions from amino acid sequence as well as construction of relevant databases. # Application of a variety of Biophysical methods and techniques for protein structure determination and for structural studies of complex, physiologically important, Biological tissues such as insect chorion and cuticle. More than 15 individuals (including post-doctoral researchers, PhD students, MSc and undergraduate students) are currently involved in several ongoing research projects. Apart from research, our lab offers undergraduate courses in Bioinformatics and Molecular Biophysics, which are elective for the degrees (BSc) in Biology (Faculty of Biology) and Physics (Faculty of Physics) of the University of Athens. At the same time, our lab is actively involved in the organization and co-ordination of the MSc Programme in Bioinformatics of the Faculty of Biology. | biophysics, bioinformatics, protein structure, protein function, protein, protein interaction, amino acid sequence, algorithm, prediction, structure, function, interaction |
has parent organization: University of Athens; Athens; Greece is parent organization of: PredSL is parent organization of: CAST is parent organization of: PRED-SIGNAL is parent organization of: AMYL-PRED is parent organization of: HMM-TM is parent organization of: PRED-LIPO is parent organization of: CW-PRED is parent organization of: PRED-TMBB is parent organization of: PRED-COUPLE 2 is parent organization of: ConBBPRED is parent organization of: PRED-GPCR is parent organization of: MCMBB is parent organization of: waveTM is parent organization of: PRED-TMR is parent organization of: GeneVito is parent organization of: PRED-CLASS is parent organization of: CoPreTHi is parent organization of: orienTM is parent organization of: SecStr is parent organization of: OMPdb is parent organization of: LepChorionDB is parent organization of: Human-gpDB is parent organization of: hPATM is parent organization of: NON-RED is parent organization of: DAM-Bio is parent organization of: SCAR is parent organization of: FT is parent organization of: DnaProt is parent organization of: CuticleDB is parent organization of: gpDB - a database of GPCRs G-proteins Effectors and their interactions is parent organization of: TMRPres2D is parent organization of: ExTopoDB |
nlx_151727 | SCR_006180 | Biophysics and Bioinformatics Laboratory at University of Athens, Biophysics and Bioinformatics Laboratory of the Department of Cell Biology and Biophysics of the University of Athens | 2026-08-11 09:41:16 | 2 | ||||||||
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BioMedBridges Resource Report Resource Website 1+ mentions |
BioMedBridges (RRID:SCR_006179) | BioMedBridges | data or information resource, consortium, portal, organization portal | Consortium of 12 Biomedical sciences research infrastructure (BMS RI) partners to develop a shared e-infrastructure to allow interoperability between data and services in the biological, medical, translational and clinical domains (providing a complex knowledge environment comprising standards, ontologies, data and services) and thus strengthen biomedical resources in Europe. The BMS RIs are on the roadmap of the European Strategy Forum on Research Infrastructures (ESFRI). Connecting several European research infrastructures brings a diversity of ethical, legal and security concerns including data security requirements for participating e-Infrastructures that are storing or processing patient-related data (or biosamples): EATRIS, ECRIN, BBMRI, EuroBioImaging and EMBL-EBI. In addition, INSTRUCT is interested in secure sample transport and in intellectual property rights; Infrafrontier stores high-throughput data from mice. BBMRI with its focus on the availability of biomaterials is currently emphasizing aspects like k-anonymity and metadata management for its data. Sharing of imaging data by Euro-BioImaging poses challenges with respect to anonymisation and intellectual property. Therefore, an ethical, regulatory and security framework for international data sharing that covers these diverse areas and different types of data (e.g. clinical trials data, mouse data, and human genotype and DNA sequence data) is of crucial importance. The outcomes will lead to real and sustained improvement in the services the biomedical sciences research infrastructures offer to the research community. Data curation and sample description will be improved by the adoption of best practices and agreed standards. Many improvements will emerge from new interactions between RIs created by data linkage and networking. Ensuring access to relevant information for all life science researchers across all BMS RIs will enable scientists to conduct and share cutting-edge research. | clinical, biomedical, infrastructure, technology, biology, medicine, translational, data sharing, biobank, genetic, stem cell, clinical trial, imaging, genotype, dna sequence, standard specification, interoperability |
is listed by: Consortia-pedia is related to: Biobanking and Biomolecular Resources Research Infrastructure (BBMRI) has parent organization: European Bioinformatics Institute |
European Union FP7 Capacities Specific Programme 284209 | nlx_151726 | SCR_006179 | Building data bridges between biological and medical infrastructure in Europe (BioMedBridges), Building data bridges between biological and medical infrastructures in Europe, Building data bridges from biology to medicine in Europe | 2026-08-11 09:41:17 | 7 | |||||||
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caArray Resource Report Resource Website 10+ mentions |
caArray (RRID:SCR_006053) | caArray | service resource, data or information resource, storage service resource, database, data repository | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on Sep 18, 2018. Open-source, web and programmatically accessible microarray data management system. caArray guides the annotation and exchange of array data using a federated model of local installations whose results are shareable across the cancer Biomedical Informatics Grid (caBIG). caArray furthers translational cancer research through acquisition, dissemination and aggregation of semantically interoperable array data to support subsequent analysis by tools and services on and off the Grid. As array technology advances and matures, caArray will extend its logical library of assay management. | microarray, gene expression, data sharing, service resource, data management, annotation, interoperability, life sciences |
is listed by: re3data.org is listed by: OMICtools is related to: Cancer Biomedical Informatics Grid is related to: MAGE-TAB has parent organization: National Cancer Institute |
Cancer | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151452, OMICS_00864, r3d100010573 | https://doi.org/10.17616/R33G76 | SCR_006053 | caArray - Array Data Management System, caArray Data Portal | 2026-08-11 09:41:15 | 35 | |||||
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Deciphering Developmental Disorders Resource Report Resource Website 10+ mentions |
Deciphering Developmental Disorders (RRID:SCR_006171) | DDD | portal, topical portal, service resource, material storage repository, research forum portal, data or information resource, storage service resource, disease-related portal, biospecimen repository | The Deciphering Developmental Disorders (DDD) study aims to find out if using new genetic technologies can help doctors understand why patients get developmental disorders. To do this we have brought together doctors in the 23 NHS Regional Genetics Services throughout the UK and scientists at the Wellcome Trust Sanger Institute, a charitably funded research institute which played a world-leading role in sequencing (reading) the human genome. The DDD study involves experts in clinical, molecular and statistical genetics, as well as ethics and social science. It has a Scientific Advisory Board consisting of scientists, doctors, a lawyer and patient representative, and has received National ethical approval in the UK. Over the next few years, we are aiming to collect DNA and clinical information from 12,000 undiagnosed children in the UK with developmental disorders and their parents. The results of the DDD study will provide a unique, online catalogue of genetic changes linked to clinical features that will enable clinicians to diagnose developmental disorders. Furthermore, the study will enable the design of more efficient and cheaper diagnostic assays for relevant genetic testing to be offered to all such patients in the UK and so transform clinical practice for children with developmental disorders. Over time, the work will also improve understanding of how genetic changes cause developmental disorders and why the severity of the disease varies in individuals. The Sanger Institute will contribute to the DDD study by performing genetic analysis of DNA samples from patients with developmental disorders, and their parents, recruited into the study through the Regional Genetics Services. Using microarray technology and the latest DNA sequencing methods, research teams will probe genetic information to identify mutations (DNA errors or rearrangements) and establish if these mutations play a role in the developmental disorders observed in patients. The DDD initiative grew out of the groundbreaking DECIPHER database, a global partnership of clinical genetics centres set up in 2004, which allows researchers and clinicians to share clinical and genomic data from patients worldwide. The DDD study aims to transform the power of DECIPHER as a diagnostic tool for use by clinicians. As well as improving patient care, the DDD team will empower researchers in the field by making the data generated securely available to other research teams around the world. By assembling a solid resource of high-quality, high-resolution and consistent genomic data, the leaders of the DDD study hope to extend the reach of DECIPHER across a broader spectrum of disorders than is currently possible. | microarray, sequencing, child, genome, chromosome, dna sequencing, ethics, interview, dna, saliva, clinical, genetics, gene, diagnosis, phenotype, clinical data, FASEB list |
is related to: DECIPHER has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Developmental disorder, Genetic disorder, Parent, Neurodevelopmental disorder, Congenital anomaly, Abnormal growth, Dysmorphic feature, Unusual behavioral phenotype | Wellcome Trust ; Health Innovation Challenge Fund |
PMID:21679367 | nlx_151673 | SCR_006171 | Deciphering Developmental Disorders (DDD) | 2026-08-11 09:41:22 | 42 | |||||
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VizHub Resource Report Resource Website 1+ mentions |
VizHub (RRID:SCR_006209) | VizHub | service resource, portal, analysis service resource, data or information resource, data analysis service, production service resource | A visualization hub displaying sequencing data from the Roadmap Epigenomics project. It hosts high volume of tracks from ENCODE and Roadmap Epigenomics projects, supports multiple organisms, visualizes chromatin-interaction data (e.g. Hi-C), performs gene set view, gene plot, and many others. All delivered on the web at high performance. | epigenomics, neandertal, genome, visualization, browser, sequencing |
uses: UCSC Genome Browser uses: Roadmap Epigenomics Project uses: ENCODE is related to: WashU Epigenome Browser has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA has parent organization: Roadmap Epigenomics Project |
nlx_151756 | SCR_006209 | Roadmap Epigenomics Visualization Hub, Visualization Hub | 2026-08-11 09:41:18 | 6 | ||||||||
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University of Michigan Department of Neuroscience Graduate Program Resource Report Resource Website 1+ mentions |
University of Michigan Department of Neuroscience Graduate Program (RRID:SCR_006002) | U-M Neuroscience Graduate Program | portal, data or information resource, graduate program resource, organization portal, department portal | The Graduate Program at the University of Michigan was constituted in 1971, making it the longest-standing neuroscience graduate program in the United States. We are a collegial and interactive group of 75 students and 115 faculty that perform research across the breadth of the neuroscience field. Neuroscience graduate students on this campus form a cohesive group, which promotes interactions among the faculty, making the Graduate Program the nexus of the neuroscience community. Graduates receive a Ph.D. in Neuroscience, which provides tremendous flexibility in choosing one's career path. There are more than 100 alumni of our Program, and these graduates work in academic research, industrial research and development, academic medicine and biotechnology. Our program captures the excitement and interaction intrinsic to the field of neuroscience. Students can seek admission to the Neuroscience Program by three different routes direct application to the Neuroscience Program, application via the Program in Biomedical Sciences and application via the Medical Scientist Training Program. | has parent organization: University of Michigan; Ann Arbor; USA | nif-0000-02211 | SCR_006002 | University of Michigan Neuroscience Graduate Program | 2026-08-11 09:41:14 | 1 | |||||||||
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PHYLIP Resource Report Resource Website 1000+ mentions |
PHYLIP (RRID:SCR_006244) | PHYLIP | source code, data processing software, software resource, software application | A free package of software programs for inferring phylogenies (evolutionary trees). The source code is distributed (in C), and executables are also distributed. In particular, already-compiled executables are available for Windows (95/98/NT/2000/me/xp/Vista), Mac OS X, and Linux systems. Older executables are also available for Mac OS 8 or 9 systems. | phylogeny prediction, evolutionary tree, bio.tools |
is listed by: bio.tools is listed by: Debian is listed by: OMICtools is listed by: SoftCite has parent organization: University of Washington; Seattle; USA works with: PAML |
NSF ; NIGMS ; DOE |
Free | nif-0000-06708, OMICS_04240, biotools:phylip | https://bio.tools/phylip, https://sources.debian.org/src/phylip/ | SCR_006244 | PHYLogeny Inference Package | 2026-08-11 09:41:23 | 3544 | |||||
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Voronoia Resource Report Resource Website 10+ mentions |
Voronoia (RRID:SCR_006005) | data or information resource, database, software resource, software toolkit | Voronoia is a program suite to analyse and visualize the atomic packing of protein structures. It is based on the Voronoi Cell method and can be used to estimate the quality of a protein structure, e.g. by comparing the packing density of buried atoms to a reference data set or by highlighting protein regions with large packing defects. Voronoia is also targeted to detect locations of putative internal water or binding sites for ligands. Accordingly, Voronoia is beneficial for a broad range of protein structure approaches. It is applicable as a standalone version coming with a user friendly GUI or, alternatively, as a Pymol Plugin. Finally, Voronoia is also available as an easy to use webtool to process user defined PDB-files or to asses precalculated packing files from DOPP, the regularly updated Dictionary of Packing in Proteins. | has parent organization: University Medicine Berlin; Berlin; Germany | nif-0000-03641 | http://141.42.202.21/voronoia/index.php | SCR_006005 | Voronoia | 2026-08-11 09:41:14 | 10 | |||||||||
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Human Imaging Database Resource Report Resource Website 1+ mentions |
Human Imaging Database (RRID:SCR_006126) | HID | software application, service resource, data or information resource, data management software, storage service resource, database, source code, software resource, image repository, data repository |
THIS RESOURCE IS NO LONGER IN SERVICE. Documented October 5, 2017. Database management system developed to handle the increasingly large and diverse datasets collected as part of the MBIRN and FBIRN collaboratories and throughout clinical imaging communities at large. The HID can be extended to contain relevant information concerning experimental subjects, assessments of subjects, the experimental data collected, the experimental protocols, and other metadata normally included with experiments. |
imaging, fmri, clinical, behavior, biomedical imaging data, mri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Cognitive Paradigm Ontology is related to: XCEDE Schema has parent organization: Biomedical Informatics Research Network |
Schizophrenia | PMID:19826494 PMID:18348946 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00269 | http://www.nitrc.org/projects/hid | http://fbirnbdr.nbirn.net:8080/BDR/ | SCR_006126 | fBIRN Data Repository, Human Imaging Database (HID) System, Function BIRN Data Repository | 2026-08-11 09:41:16 | 3 | |||
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ScerTF Resource Report Resource Website 10+ mentions |
ScerTF (RRID:SCR_006121) | ScerTF | service resource, analysis service resource, data or information resource, database, data analysis service, production service resource | Catalog of over 1,200 position weight matrices (PWMs) for 196 different yeast transcription factors (TFs). They've curated 11 literature sources, benchmarked the published position-specific scoring matrices against in-vivo TF occupancy data and TF deletion experiments, and combined the most accurate models to produce a single collection of the best performing weight matrices for Saccharomyces cerevisiae. ScerTF is useful for a wide range of problems, such as linking regulatory sites with transcription factors, identifying a transcription factor based on a user-input matrix, finding the genes bound/regulated by a particular TF, and finding regulatory interactions between transcription factors. Enter a TF name to find the recommended matrix for a particular TF, or enter a nucleotide sequence to identify all TFs that could bind a particular region. | binding site, transcription factor, regulatory site, gene, regulation, regulatory interaction, matrix, nucleotide sequence, dna sequence, yeast, position weight matrix, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
NIGMS R01 GM078222; NHGRI HG00249 |
PMID:22140105 | biotools:scertf, nlx_151599, OMICS_00542 | http://ural.wustl.edu/ScerTF, https://bio.tools/scertf | http://ural.wustl.edu/TFDB/ | SCR_006121 | 2026-08-11 09:41:15 | 19 | |||||
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MIALAB - Medical Image Analysis Lab Resource Report Resource Website 10+ mentions |
MIALAB - Medical Image Analysis Lab (RRID:SCR_006089) | MIALAB | data or information resource, portal, laboratory portal, organization portal | MIALAB, headed by Dr. Vince Calhoun, focuses on developing and optimizing methods and software for quantitative analysis of structure and function in medical images with particular focus on the study of psychiatric illness. We work with many types of data, including functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), electroencephalography (EEG), structural imaging and genetic data. Much of our time is spent working on new methods for flexible analysis of brain imaging data. The use of data driven approaches is very useful for extracting potentially unpredictable patterns within these data. However such methods can be further improved by incorporating additional prior information as constraints, in order to benefit from what we know. To this end, we draw heavily from the areas of image processing, adaptive signal processing, estimation theory, neural networks, statistical signal processing, and pattern recognition. | software, data, data visualization, medical image, image, neuroimaging, fmri, diffusion tensor imaging, electroencephalography, structural imaging, genetic data, brain, image processing, adaptive signal processing, estimation theory, neural network, statistical signal processing, pattern recognition, mri |
has parent organization: Mind Research Network is parent organization of: Group ICA of fMRI Toolbox is parent organization of: Group ICA Of EEG Toolbox is parent organization of: MIALAB - Resting State Data |
Mental disease | nlx_151551 | SCR_006089 | Medical Image Analysis Lab, Medical Image Analysis Laboratory, MIA Laboratory, Medical Image Analysis (MIA) Laboratory | 2026-08-11 09:41:21 | 27 | |||||||
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SitEx Resource Report Resource Website 1+ mentions |
SitEx (RRID:SCR_006122) | SitEx | service resource, analysis service resource, data or information resource, database, data analysis service, production service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 19,2019. Analyzing protein structure projection on exon-intron structure of corresponding gene through years led to several fundamental conclusions about structural and functional organization of the protein. According to these results we decided to map the protein functional sites. So we created the database SitEx that keep the information about this mapping and included the BLAST search and 3D similar structure search using PDB3DScan for the polypeptide encoded by one exon, participating in organizing the functional site. This will help: # to study the positions of the functional sites in exon structure; # to make the complex analysis of the protein function; # to exposure the exons that took part in exon shuffling and came from bacterial genomes; # to study the peculiarities of coding the polypeptide structures. Currently, SitEx contains information about 9994 functional sites presented in 2021 proteins described in proteomes of 17 organisms. | projection, protein, functional site, exon, blast, structure, function, gene, amino acid, encoding gene, proteome, ligand, data set, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools has parent organization: Institute of Cytology and Genetics of the Siberian Branch of the RAS; Novosibirsk; Russia |
Ministry of Science and Education 14.740.11.0001; Ministry of Science and Education 07.514.11.4003; Interdisciplinary Integrative Project 35 of SB RAS ; Russian Foundation for Basic Research 11-04-92712; EU-FP7 260429; Program of RAS ; DAAD Leonard Euler Program Grant |
PMID:22139920 | THIS RESOURCE IS NO LONGER IN SERVICE. | biotools:sitex, nlx_151602 | https://bio.tools/sitex | SCR_006122 | SitEx Database | 2026-08-11 09:41:21 | 1 | ||||
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Proteome Commons Resource Report Resource Website 10+ mentions |
Proteome Commons (RRID:SCR_006234) | Proteome Commons | service resource, portal, community building portal, data or information resource, storage service resource, database, software resource, data repository | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A public resource for sharing general proteomics information including data (Tranche repository), tools, and news. Joining or creating a group/project provides tools and standards for collaboration, project management, data annotation, permissions, permanent storage, and publication. | proteomics, protein, peptide, data sharing, data, tool, news, annotation, proteome, genome |
is listed by: re3data.org has parent organization: University of Michigan; Ann Arbor; USA is parent organization of: Proteome Commons Tranche repository |
NCI ; Clinical Proteomics Technologies for Cancer ; NCRR P41-RR018627 |
PMID:20356086 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151800 | SCR_006234 | ProteomeCommons.org, ProteomeCommons | 2026-08-11 09:41:22 | 12 |
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