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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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GeneFisher Resource Report Resource Website 10+ mentions |
GeneFisher (RRID:SCR_003060) | GeneFisher, GeneFisher2 | analysis service resource, data analysis service, production service resource, service resource | A web-based program for designing degenerate primers. The procedure leads to isolation of genes in a target organism using multiple alignments of related genes from different organisms. The term gene fishing refers to the technique where PCR is used to isolate a postulated but unknown target sequence from a pool of DNA. | primer design, gene, degenerate primer, degenerate, primer, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Bielefeld University; North Rhine-Westphalia; Germany |
PMID:8877506 | Free, Freely available | biotools:genefisher, OMICS_02341 | https://bio.tools/genefisher | SCR_003060 | SciCrunch Registry | GeneFisher2 - Interactive PCR Primer Design | 2026-09-19 12:56:38 | 39 | |||||
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IPI Resource Report Resource Website 50+ mentions |
IPI (RRID:SCR_003012) | IPI | data or information resource, database | IPI provides a top level guide to the main databases (UniProtKB/Swiss-Prot, UniProtKB/TrEMBL, RefSeq, Ensembl, TAIR, H-InvDB, Vega) that describe the proteomes of higher eukaryotic organisms. IPI: :1. effectively maintains a database of cross references between the primary data sources :2. provides minimally redundant yet maximally complete sets of proteins for featured species (one sequence per transcript) :3. maintains stable identifiers (with incremental versioning) to allow the tracking of sequences in IPI between IPI releases. IPI is updated monthly in accordance with the latest data released by the primary data sources. As previously announced, the closure of IPI has been proposed for some time. Replacement data sets are now available through UniProt for human and mouse; sets for the other species contained within IPI are expected to be included as part of the UniProt release 2011_07. To allow users time to transition to using the new UniProt data sets, IPI releases will continue to be produced throughout the summer. The final release will be made in September 2011. Thereafter, the IPI website will cease to be maintained, although previous releases of the dataset will continue to be available from the FTP site. We would like to thank our users for their support and interest in this service. | human, mouse, rat, zebrafish, arabidopsis, chicken, cow, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: UniProt DAS has parent organization: European Bioinformatics Institute works with: PremierBiosoft Proteo IQ Software |
PMID:15221759 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:ipi, nif-0000-03043 | https://bio.tools/ipi | SCR_003012 | SciCrunch Registry | International Protein Index, IPI - International Protein Index | 2026-09-19 12:56:38 | 76 | |||||
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IPD - Immuno Polymorphism Database Resource Report Resource Website 10+ mentions |
IPD - Immuno Polymorphism Database (RRID:SCR_003004) | IPD | data or information resource, database | A set of specialist databases related to the study of polymorphic genes in the immune system. The IPD project works with specialist groups or nomenclature committees who provide and curate individual sections before they are submitted to IPD for online publication. The IPD project stores all the data in a set of related databases. IPD currently consists of four databases: * IPD-KIR, contains the allelic sequences of Killer-cell Immunoglobulin-like Receptors, * IPD-MHC, is a database of sequences of the Major Histocompatibility Complex of different species; * IPD-human platelet antigens, alloantigens expressed only on platelets and * IPD-ESTDAB, which provides access to the European Searchable Tumour cell-line database, a cell bank of immunologically characterized melanoma cell lines. | polymorphic gene, immune system, gene, gold standard, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: European Bioinformatics Institute |
European Union contract QLRI-CT-200!-01325; NCI P01 111412 |
PMID:19875415 PMID:18449992 PMID:15608253 |
biotools:ipd, nif-0000-03038, r3d100010797 | https://bio.tools/ipd, https://doi.org/10.17616/R3KK7K | SCR_003004 | SciCrunch Registry | IPD-The Immuno Polymorphism Database, IPD - The Immuno Polymorphism Database | 2026-09-19 12:56:38 | 26 | |||||
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eMouseAtlas Resource Report Resource Website 50+ mentions |
eMouseAtlas (RRID:SCR_002981) | EMAP, EMA, EMAGE, MAP, EMAP, MAP2.0, | atlas, data or information resource, database | Detailed multidimensional digital multimodal atlas of C57BL/6J mouse nervous system with data and informatics pipeline that can automatically register, annotate, and visualize large scale neuroanatomical and connectivity data produced in histology, neuronal tract tracing, MR imaging, and genetic labeling. MAP2.0 interoperates with commonly used publicly available databases to bring together brain architecture, gene expression, and imaging information into single, simple interface.Resource to visualise mouse development, identify anatomical structures, determine developmental stage, and investigate gene expression in mouse embryo. eMouseAtlas portal page allows access to EMA Anatomy Atlas of Mouse Development and EMAGE database of gene expression.EMAGE is freely available, curated database of gene expression patterns generated by in situ techniques in developing mouse embryo. EMA, e-Mouse Atlas, is 3-D anatomical atlas of mouse embryo development including histology and includes EMAP ontology of anatomical structure, provides information about shape, gross anatomy and detailed histological structure of mouse, and framework into which information about gene function can be mapped. | Mouse Atlas Project, molecular neuroanatomy resource, adult mouse, mouse, brain, c57bl/6j, magnetic resonance microscopy, diffusion-weighted image, blockface imaging, immunohistochemistry, in situ hybridization, neuroanatomy, mri, dti, brain architecture, gene expression, neuroimaging, ontology, connectivity, histology, neuronal tract tracing, genetic labeling, newborn mouse, experimental protocol, bio.tools, ontology, histology, mouse embryo, gene expression, gxd query interface, digital anatomical atlas, spatial region, domain, 2d, 3d, virtual embryo model, development atlas, standard anatomical nomenclature, developmental staging criteria, spatially mapped, anatomy nomenclature, molecular neuroanatomy resource, embryonic mouse, FASEB list |
is related to: GUDMAP Ontology is related to: EMAGE Gene Expression Database is related to: EMAGE Gene Expression Database is related to: HUDSEN is related to: Mouse Genome Informatics: The Mouse Gene Expression Information Resource Project has parent organization: University of Edinburgh; Scotland; United Kingdom has parent organization: Jackson Laboratory is parent organization of: Minimal Anatomical Terminology |
Medical Research Council ; NIA ; NIBIB ; NIDA ; NIDCD ; NINDS |
PMID:15043218 PMID:18077470 PMID:16381949 |
Free, Freely available | nif-0000-00038, nif-0000-00505, biotools:emap, SCR_007281, biotools:ma | http://www.emouseatlas.org/emap/home.html, https://bio.tools/emap, https://bio.tools/ma | http://genex.hgu.mrc.ac.uk/, http://www.loni.ucla.edu/MAP/ | SCR_002981 | SciCrunch Registry | emouseatlas, e-mouse Atlas, EMAGE Gene Expression Database, EMA, Edinburgh Mouse Atlas of Gene Expression, e-Mouse Atlas, EMA Anatomy Atlas of Mouse Development | 2026-09-19 12:56:38 | 71 | |||
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ResponseNet Resource Report Resource Website 1+ mentions |
ResponseNet (RRID:SCR_003176) | ResponseNet | analysis service resource, data analysis service, production service resource, service resource | WebServer that identifies high-probability signaling and regulatory paths that connect input data sets. The input includes two weighted lists of condition-related proteins and genes, such as a set of disease-associated proteins and a set of differentially expressed disease genes, and a molecular interaction network (i.e., interactome). The output is a sparse, high-probability interactome sub-network connecting the two sets that is biased toward signaling pathways. This sub-network exposes additional proteins that are potentially involved in the studied condition and their likely modes of action. Computationally, it is formulated as a minimum-cost flow optimization problem that is solved using linear programming. | interactome, gene, protein, signaling pathway, signaling, regulatory, pathway, regulatory pathway, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Ben-Gurion University of the Negev; Beer-Sheva; Israel |
PMID:23761447 PMID:21576238 |
Free, Freely available | biotools:responsenet, OMICS_01562 | https://bio.tools/responsenet | http://netbio.bgu.ac.il/respnet/ | SCR_003176 | SciCrunch Registry | 2026-09-19 12:56:39 | 4 | |||||
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IntEnz- Integrated relational Enzyme database Resource Report Resource Website 10+ mentions |
IntEnz- Integrated relational Enzyme database (RRID:SCR_002992) | IntEnz | data or information resource, database | IntEnz (Integrated relational Enzyme database) is a freely available resource focused on enzyme nomenclature. IntEnz is created in collaboration with the Swiss Institute of Bioinformatics (SIB). This collaboration is responsible for the production of the ENZYME resource. IntEnz contains the recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology (NC-IUBMB) on the nomenclature and classification of enzyme-catalysed reactions. | enzyme categories, enzyme classification, enzyme nomenclature, enzyme reaction categories, enzyme, gold standard, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: ENZYME has parent organization: European Bioinformatics Institute has parent organization: SIB Swiss Institute of Bioinformatics |
European Union SLING 226073 | PMID:14681451 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03028, biotools:intenz, r3d100010803 | https://bio.tools/intenz | SCR_002992 | SciCrunch Registry | 2026-09-19 12:56:38 | 13 | |||||
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PILGRM Resource Report Resource Website 1+ mentions |
PILGRM (RRID:SCR_004749) | PILGRIM | analysis service resource, data analysis service, production service resource, 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 | SciCrunch Registry | Platform for Interactive Learning by Genomics Results Mining | 2026-09-19 12:56:46 | 1 | |||||
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HSSP Resource Report Resource Website 10+ mentions |
HSSP (RRID:SCR_004953) | HSSP | data or information resource, database | HSSP (homology-derived structures of proteins) is a derived database merging structural (2-D and 3-D) and sequence information (1-D). For each protein of known 3D structure from the Protein Data Bank, the database has a file with all sequence homologues, properly aligned to the PDB protein. Homologues are very likely to have the same 3D structure as the PDB protein to which they have been aligned. As a result, the database is not only a database of sequence aligned sequence families, but it is also a database of implied secondary and tertiary structures. Likely secondary structure are carried over from the PDB protein to each homologous protein. Tertiary structure models can be built by fitting the sequence of the homologue as aligned into the 3D template of the protein of known structure. Special software is needed to construct 3D models by homology, such WHATIF by Gert Vriend or MaxSprout by Liisa Holm and Chris Sander. The command rsync can be used to obtain a local copy of the HSSP. We appreciate receiving an Email from people who do so, but there are no strings attached. Everybody can freely download the files, academia and industry alike. If your institute''s firewall doesn''t allow you to use the (preferred) rsync way of obtaining HSSP files, feel free to work with FTP. The files are in that case available from: ftp://ftp.cmbi.ru.nl//pub/molbio/data/hssp/ | gold standard, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Radboud University; Nijmegen; The Netherlands |
PMID:2017436 | biotools:hssp, nlx_91976 | https://bio.tools/hssp | SCR_004953 | SciCrunch Registry | Homology-derived Secondary Structure of Proteins, homology-derived structures of proteins, HSSP - Homology derived Secondary Structure of Proteins, HSSP database, HSSP - Homology-derived Secondary Structure of Proteins, Homology derived Secondary Structure of Proteins | 2026-09-19 12:56:48 | 33 | ||||||
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STING Report Resource Report Resource Website 1+ mentions |
STING Report (RRID:SCR_005121) | STING | data or information resource, database | Sting Report is a database of amino acid sequences, structures, functions, and parameters. It allows users to easily extract from the Blue Star Sting Database detailed but focused information about an individual amino acid, which belongs to a structure described in a PDB file. The extracted information is presented as a series of GIF images and a table, which are generated by Blue Star Sting modules and contain values of up to 125 sequence/structure/function descriptors/parameters. The HTML page resulting from a query on Sting Report, containing the GIF images and the table, is printable, and can also be composed and visualized at a computer platform with elementary configuration. | amino acid, amino acid function, amino acid sequence, amino acid structure, bio.tools |
is listed by: Debian is listed by: bio.tools |
PMID:15608194 | nif-0000-03498, biotools:sting_millenium | https://bio.tools/sting_millenium | SCR_005121 | SciCrunch Registry | Blue Star Sting Report | 2026-09-19 12:56:49 | 5 | ||||||
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Information Hyperlinked Over Proteins Resource Report Resource Website 10+ mentions |
Information Hyperlinked Over Proteins (RRID:SCR_004829) | iHOP | data or information resource, database, service resource | Information system that provides a network of concurring genes and proteins extends through the scientific literature touching on phenotypes, pathologies and gene function. It provides this network as a natural way of accessing millions of PubMed abstracts. By using genes and proteins as hyperlinks between sentences and abstracts, the information in PubMed can be converted into one navigable resource, bringing all advantages of the internet to scientific literature research. Moreover, this literature network can be superimposed on experimental interaction data (e.g., yeast-two hybrid data from Drosophila melanogaster and Caenorhabditis elegans) to make possible a simultaneous analysis of new and existing knowledge. The network contains half a million sentences and 30,000 different genes from humans, mice, D. melanogaster, C. elegans, zebrafish, Arabidopsis thaliana, yeast and Escherichia coli. | phenotype, gene, protein, interaction, pathology, physiology, gene network, network, literature, gene function, text-mining, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: PubMed has parent organization: Autonomous University of Madrid; Madrid; Spain |
European Union IST-2001- 32688; European Union QLRT-2001-00015 |
PMID:15226743 | Creative Commons Attribution-NoDerivs License, Works v3 | biotools:ihop, nif-0000-00232, OMICS_01185 | https://bio.tools/ihop | SCR_004829 | SciCrunch Registry | iHOP - Information Hyperlinked over Proteins | 2026-09-19 12:56:47 | 24 | ||||
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SPOT - Biological prioritization after a SNP association study Resource Report Resource Website 500+ mentions |
SPOT - Biological prioritization after a SNP association study (RRID:SCR_005193) | SPOT | analysis service resource, data analysis service, production service resource, service resource | A web-based tool for using biological databases to prioritize single nucleotide polymorphisms (SNPs) after a genome-wide association study (GWAS). The site allows users to upload a list of SNPs and GWAS P-values and returns a prioritized list of SNPs using the GIN method. Users can specify candidate genes or genomic regions with custom levels of prioritization. The results can be downloaded or viewed in the browser where users can interactively explore the details of each SNP, including graphical representations of the genomic information network (GIN) method. For investigators interested in incorporating biological databases into a post-GWAS SNP selection strategy, the SPOT web tool is an easily implemented and flexible solution. | single nucleotide polymorphism, genome-wide association study, linkage disequilibrium, gene, genomic region, p-value, bio.tools, FASEB list |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: University of Southern California; Los Angeles; USA |
PMID:20529875 | biotools:spot, OMICS_00189 | https://bio.tools/spot | SCR_005193 | SciCrunch Registry | 2026-09-19 12:56:49 | 512 | |||||||
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MG-RAST Resource Report Resource Website 1000+ mentions |
MG-RAST (RRID:SCR_004814) | MG RAST | analysis service resource, data analysis service, production service resource, service resource | An automated analysis platform for metagenomes providing quantitative insights into microbial populations based on sequence data. The server primarily provides upload, quality control, automated annotation and analysis for prokaryotic metagenomic shotgun samples. | metagenome, base pair, sequence, phylogenetic, functional analysis, data sharing, metadata, protein, micro biome, analysis platform, bio.tools |
is listed by: OMICtools is listed by: Human Microbiome Project is listed by: Debian is listed by: bio.tools has parent organization: Argonne National Laboratory |
NIAID contract HHSN272200900040C; DOE contract DE-AC02-06CH11357 |
PMID:18803844 | Acknowledgement requested, Public, Account required | OMICS_01456, biotools:mg-rast | http://metagenomics.nmpdr.org, https://bio.tools/mg-rast | SCR_004814 | SciCrunch Registry | The Metagenomics RAST server, Metagenomics RAST, MG-RAST - metagenomics analysis server | 2026-09-19 12:56:47 | 1165 | ||||
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GoMapMan Resource Report Resource Website 10+ mentions |
GoMapMan (RRID:SCR_005060) | GoMapMan | data or information resource, database, service resource | An open web-accessible resource for gene functional annotations in the plant sciences to facilitate improvement, consolidation and visualization of gene annotations across several plant species. It is based on the MapMan ontology, organized in the form of a hierarchical tree of biological concepts, which describe gene functions. Currently, genes of the model species Arabidopsis, potato, tomato, rice, and tobacco are included. The main features are (i) dynamic and interactive gene product annotation through various curation options; (ii) consolidation of gene annotations for different plant species through the integration of orthologue group information; (iii) traceability of gene ontology changes and annotations; (iv) integration of external knowledge about genes from different public resources; and (v) providing gathered information to high-throughput analysis tools via dynamically generated export files. All of the GoMapMan functionalities are openly available, with the restriction on the curation functions, which require prior registration to ensure traceability of the implemented changes. | functional annotation, function, annotation, gene, visualization, ortholog, ontology, microarray, gene annotation, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Gene Set Enrichment Analysis is related to: MapMan is related to: Biomine is related to: SEGS has parent organization: Jozef Stefan Institute; Ljubljana; Slovenia |
Slovenian Research Agency J4-2228; Slovenian Research Agency P2-0103 |
PMID:24194592 | Creative Commons Attribution-NonCommercial-ShareAlike License | biotools:gomapman, OMICS_02280 | https://bio.tools/gomapman | SCR_005060 | SciCrunch Registry | 2026-09-19 12:56:48 | 29 | |||||
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Human Splicing Finder Resource Report Resource Website 1000+ mentions |
Human Splicing Finder (RRID:SCR_005181) | HSF | analysis service resource, data analysis service, production service resource, service resource | Software tool to help study pre-mRNA splicing and to better understand intronic and exonic mutations leading to splicing defects. To calculate the consensus values of potential splice sites and search for branch points, new algorithms were developed. Furthermore, they have integrated all available matrices to identify exonic and intronic motifs, as well as new matrices to identify hnRNP A1, Tra2-? and 9G8. | splicing, mutation, splicing signal, sequence, transcript, nucleotide, exon, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Ensembl has parent organization: National Institute of Health and Medical Research; Rennes; France |
PMID:19339519 | Acknowledgement requested | biotools:human_splicing_finder, OMICS_00176 | https://bio.tools/human_splicing_finder | http://www.umd.be/HSF/ | SCR_005181 | SciCrunch Registry | 2026-09-19 12:56:49 | 1009 | |||||
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Apo and Holo structures DataBase Resource Report Resource Website 1+ mentions |
Apo and Holo structures DataBase (RRID:SCR_004800) | AH-DB | data or information resource, database | Database of apo and holo structure pairs of proteins before and after binding. Various protein functions have been shown directly associated with conformational transitions triggered by binding other molecules. Tertiary structures determined in the unbound and bound state are usually named apo and holo structures, respectively. AH-DB is the largest database of apo-holo structure pairs and provides a sophisticated interface to search and view the collected data. It contains 746314 apo-holo pairs of 3638 proteins from 702 organisms. | ah-db, ahdb, apo, holo, protein interaction, structural change, protein, protein structure, protein binding, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: National Cheng Kung University; Tainan; Taiwan |
National Science Council Taiwan NSC 99-2628-E-006-017 | PMID:22084200 | The community can contribute to this resource | biotools:ah-db, nlx_143908 | https://bio.tools/ah-db | SCR_004800 | SciCrunch Registry | Apo-Holo DataBase | 2026-09-19 12:56:47 | 1 | ||||
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NCBI BioProject Resource Report Resource Website 10000+ mentions |
NCBI BioProject (RRID:SCR_004801) | data or information resource, database | Database of biological data related to a single initiative, originating from a single organization or from a consortium. A BioProject record provides users a single place to find links to the diverse data types generated for that project. It is a searchable collection of complete and incomplete (in-progress) large-scale sequencing, assembly, annotation, and mapping projects for cellular organisms. Submissions are supported by a web-based Submission Portal. The database facilitates organization and classification of project data submitted to NCBI, EBI and DDBJ databases that captures descriptive information about research projects that result in high volume submissions to archival databases, ties together related data across multiple archives and serves as a central portal by which to inform users of data availability. BioProject records link to corresponding data stored in archival repositories. The BioProject resource is a redesigned, expanded, replacement of the NCBI Genome Project resource. The redesign adds tracking of several data elements including more precise information about a project''''s scope, material, and objectives. Genome Project identifiers are retained in the BioProject as the ID value for a record, and an Accession number has been added. Database content is exchanged with other members of the International Nucleotide Sequence Database Collaboration (INSDC). BioProject is accessible via FTP. | genome sequencing, sequencing, genotype, phenotype, sequence variant, epigenetic, data set, genome, assembly, annotation, mapping, cellular organism, gene mapping, gene expression, biological tag, gene rearrangement, genetic algorithm, genetic code, genetic genealogy, gold standard, bio.tools |
is listed by: 3DVC is listed by: re3data.org is listed by: Debian is listed by: bio.tools is related to: INSDC has parent organization: NCBI |
NLM | PMID:22139929 | Free, Freely available | r3d100013330, nlx_143909, biotools:bioproject | http://www.ncbi.nlm.nih.gov/genomeprj, https://bio.tools/bioproject, https://doi.org/10.17616/R31NJMS2 | http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?CMD=search&DB=genomeprj | SCR_004801 | SciCrunch Registry | NCBI BioProject Database, BioProject | 2026-09-19 12:56:47 | 14025 | ||||
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StSNP Resource Report Resource Website 1+ mentions |
StSNP (RRID:SCR_005417) | StSNP | analysis service resource, data analysis service, production service resource, service resource | A web server for mapping and modeling nsSNPs on protein structures with linkage to metabolic pathways. | bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
OMICS_00138, biotools:stsnp | https://bio.tools/stsnp | SCR_005417 | SciCrunch Registry | Structure SNP | 2026-09-19 12:56:51 | 3 | |||||||
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PRINSEQ Resource Report Resource Website 1000+ mentions |
PRINSEQ (RRID:SCR_005454) | PRINSEQ | analysis service resource, data analysis service, production service resource, service resource | A publicly available tool that is able to filter, reformat and trim your genomic and metagenomic sequence data and provide you summary statistics for your sequence data. The interactive web interface facilitates visualizations of the results and export functionality for subsequent data processing. The standalone lite version is written in Perl and does not require any non-core Perl modules. The lite version is primarily designed for data preprocessing and does not generate summary statistics in graphical form., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | microbiome, data analysis, genomic sequence data, metagenomic sequence data, summary, perl, bio.tools |
is listed by: OMICtools is listed by: Human Microbiome Project is listed by: Debian is listed by: bio.tools has parent organization: San Diego State University; California; USA |
PMID:21278185 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01068, biotools:prinseq | http://prinseq.sourceforge.net, https://bio.tools/prinseq | SCR_005454 | SciCrunch Registry | PReprocessing and INformation of SEQuences, preprocessing and information of sequences | 2026-09-19 12:56:51 | 1199 | |||||
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TMA Navigator Resource Report Resource Website 1+ mentions |
TMA Navigator (RRID:SCR_005599) | TMA Navigator | analysis service resource, data analysis service, production service resource, service resource | A free web-based service open to all users for analysis of tissue microarray (TMA) data and related information, accommodating categorical, semi-continuous and continuous expression scores. There is no login requirement. | tissue microarray, network, analysis, visualization, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
PMID:23761446 | Acknowledgement requested, Free | biotools:tma_navigator, OMICS_00821 | https://bio.tools/tma_navigator | SCR_005599 | SciCrunch Registry | 2026-09-19 12:56:52 | 5 | ||||||
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MethylomeDB Resource Report Resource Website 1+ mentions |
MethylomeDB (RRID:SCR_005583) | MethylomeDB | data or information resource, database | A database containing genome-wide brain DNA methylation profiles for human and mouse brains. The DNA methylation profiles were generated by Methylation Mapping Analysis by Paired-end Sequencing (Methyl-MAPS) method and analyzed by Methyl-Analyzer software package. The methylation profiles cover over 80% CpG dinucleotides in human and mouse brains in single-CpG resolution. The integrated genome browser (modified from UCSC Genome Browser allows users to browse DNA methylation profiles in specific genomic loci, to search specific methylation patterns, and to compare methylation patterns between individual samples. Two species were included in the Brain Methylome Database: human and mouse. Human postmortem brain samples were obtained from three distinct cortical regions, i.e., dorsal lateral prefrontal cortex (dlPFC), ventral prefrontal cortex (vPFC), and auditory cortex (AC). Human samples were selected from our postmortem brain collection with extensive neuropathological and psychopathological data, as well as brain toxicology reports. The Department of Psychiatry of Columbia University and the New York State Psychiatric Institute have assembled this brain collection, where a validated psychological autopsy method is used to generate Axis I and II DSM IV diagnoses and data are obtained on developmental history, history of psychiatric illness and treatment, and family history for each subject. The mouse sample (strain 129S6/SvEv) DNA was collected from the entire left cerebral hemisphere. The three human brain regions were selected because they have been implicated in the neuropathology of depression and schizophrenia. Within each cortical region, both disease and non-psychiatric samples have been profiled (matching subjects by age and sex in each group). Such careful matching of subjects allows one to perform a wide range of queries with the ability to characterize methylation features in non-psychiatric controls, as well as detect differentially methylated domains or features between disease and non-psychiatric samples. A total of 14 non-psychiatric, 9 schizophrenic, and 6 depression methylation profiles are included in the database. | brain, dna methylation, dorsal lateral prefrontal cortex, ventral prefrontal cortex, auditory cortex, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Columbia University; New York; USA |
NIH ; NHGRI HG002915; NIMH MH074118 |
PMID:22140101 | OMICS_01843, biotools:methylomedb, nlx_146210 | https://bio.tools/methylomedb | SCR_005583 | SciCrunch Registry | MethylomeDB - the Brain Methylome Database, Brain Methylome Database | 2026-09-19 12:56:52 | 1 |
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If you are logged into NIF you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
