Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
TopFIND Resource Report Resource Website 10+ mentions |
TopFIND (RRID:SCR_008918) | TopFIND | data or information resource, data repository, database, service resource, storage service resource | An integrated knowledgebase focused on protein termini, their formation by proteases and functional implications. It contains information about the processing and the processing state of proteins and functional implications thereof derived from research literature, contributions by the scientific community and biological databases. It lists more than 120,000 N- and C-termini and almost 10,000 cleavages. TopFIND is a resource for comprehensive coverage of protein N- and C-termini discovered by all available in silico, in vitro as well as in vivo methodologies. It makes use of existing knowledge by seamless integration of data from UniProt and MEROPS and provides access to new data from community submission and manual literature curating. It renders modifications of protein termini, such as acetylation and citrulination, easily accessible and searchable and provides the means to identify and analyse extend and distribution of terminal modifications across a protein. The data is presented to the user with a strong emphasis on the relation to curated background information and underlying evidence that led to the observation of a terminus, its modification or proteolytic cleavage. In brief the protein information, its domain structure, protein termini, terminus modifications and proteolytic processing of and by other proteins is listed. All information is accompanied by metadata like its original source, method of identification, confidence measurement or related publication. A positional cross correlation evaluation matches termini and cleavage sites with protein features (such as amino acid variants) and domains to highlight potential effects and dependencies in a unique way. Also, a network view of all proteins showing their functional dependency as protease, substrate or protease inhibitor tied in with protein interactions is provided for the easy evaluation of network wide effects. A powerful yet user friendly filtering mechanism allows the presented data to be filtered based on parameters like methodology used, in vivo relevance, confidence or data source (e.g. limited to a single laboratory or publication). This provides means to assess physiological relevant data and to deduce functional information and hypotheses relevant to the bench scientist. TopFIND PROVIDES: * Integration of protein termini with proteolytic processing and protein features * Displays proteases and substrates within their protease web including detailed evidence information * Fully supports the Human Proteome Project through search by chromosome location CONTRIBUTE * Submit your N- or C-termini datasets * Contribute information on protein cleavages * Provide detailed experimental description, sample information and raw data | protein, n-termini, c-termini, protease, protein cleavage, proteomics, cleavage site, terminus, modification, proteolytic processing, protein function, domain structure, protein termini, terminus modification, protease, substrate, protease inhibitor, protein interaction, protein-protein interaction, interaction, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: UniProtKB is related to: PSICQUIC Registry is related to: MEROPS has parent organization: University of British Columbia; British Columbia; Canada |
Canadian Institutes of Health Research ; Cancer Research Society ; British Columbia Proteomics Network ; Metalloproteinase Proteomics and Systems Biology ; Michael Smith Foundation for Health Research ; Breast Cancer Society of Canada ; Alexander von Humboldt-Stiftung ; BMBF ; German Academic Exchange Service |
PMID:22102574 PMID:21822272 |
Public, Acknowledgement requested | biotools:topfind, r3d100012721, nlx_151607 | https://bio.tools/topfind, https://doi.org/10.17616/R3KB8J, https://doi.org/10.17616/R3KB8J | SCR_008918 | Termini oriented protein Function Inferred Database | 2026-09-12 12:57:10 | 29 | ||||
|
FGDP Resource Report Resource Website |
FGDP (RRID:SCR_008910) | FGDP | software resource | A Java-based, Microarray or Genechip data analysis system. | bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Fox Chase Cancer Center |
PMID:14734324 | GNU General Public License | OMICS_00756, biotools:fgdp | https://bio.tools/fgdp | SCR_008910 | Functional Genomics Data Pipeline (FGDP), Functional Genomics Data Pipeline | 2026-09-12 12:57:10 | 0 | |||||
|
Generic GO Term Finder Resource Report Resource Website 100+ mentions |
Generic GO Term Finder (RRID:SCR_008870) | GOTermFinder, GO-TermFinder, GO Term Finder, GO::TermFinder | analysis service resource, data analysis service, data processing software, production service resource, service resource, software application, software resource, source code | The Generic GO Term Finder finds the significant GO terms shared among a list of genes from an organism, displaying the results in a table and as a graph (showing the terms and their ancestry). The user may optionally provide background information or a custom gene association file or filter evidence codes. This tool is capable of batch processing multiple queries at once. GO::TermFinder comprises a set of object-oriented Perl modules GO::TermFinder can be used on any system on which Perl can be run, either as a command line application, in single or batch mode, or as a web-based CGI script. This implementation, developed at the Lewis-Sigler Institute at Princeton, depends on the GO-TermFinder software written by Gavin Sherlock and Shuai Weng at Stanford University and the GO:View module written by Shuai Weng. It is made publicly available through the GMOD project. The full source code and documentation for GO:TermFinder are freely available from http://search.cpan.org/dist/GO-TermFinder/. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene ontology, gene, graph, visualization, genomics, gene association, ontology or annotation visualization, term enrichment, ontology, process, function, component, enrichment, bio.tools |
is listed by: 3DVC is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: Generic Model Organism Database Project has parent organization: Princeton University; New Jersey; USA has parent organization: Comprehensive Perl Archive Network |
NHGRI 1R01HG002732 | PMID:15297299 | Free for academic use | nlx_149293, biotools_go_term_finder | https://bio.tools/go_term_finder | SCR_008870 | Generic Gene Ontology (GO) Term Finder, Generic Gene Ontology Term Finder | 2026-09-12 12:57:10 | 108 | ||||
|
LegumeIP Resource Report Resource Website 10+ mentions |
LegumeIP (RRID:SCR_008906) | LegumeIP | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | LegumeIP is an integrative database and bioinformatics platform for comparative genomics and transcriptomics to facilitate the study of gene function and genome evolution in legumes, and ultimately to generate molecular based breeding tools to improve quality of crop legumes. LegumeIP currently hosts large-scale genomics and transcriptomics data, including: * Genomic sequences of three model legumes, i.e. Medicago truncatula, Glycine max (soybean) and Lotus japonicus, including two reference plant species, Arabidopsis thaliana and Poplar trichocarpa, with the annotation based on UniProt TrEMBL, InterProScan, Gene Ontology and KEGG databases. LegumeIP covers a total 222,217 protein-coding gene sequences. * Large-scale gene expression data compiled from 104 array hybridizations from L. japonicas, 156 array hybridizations from M. truncatula gene atlas database, and 14 RNA-Seq-based gene expression profiles from G. max on different tissues including four common tissues: Nodule, Flower, Root and Leaf. * Systematic synteny analysis among M. truncatula, G. max, L. japonicus and A. thaliana. * Reconstruction of gene family and gene family-wide phylogenetic analysis across the five hosted species. LegumeIP features comprehensive search and visualization tools to enable the flexible query on gene annotation, gene family, synteny, relative abundance of gene expression. | gene function, genome evolution, legume, gene, genome, plant, genomics, transcriptomic, gene annotation, gene family, synteny, gene expression, blast, genomic sequence, microarray, rna-seq, comparative genomics, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools is related to: UniProt is related to: InterProScan is related to: Gene Ontology is related to: KEGG has parent organization: Samuel Roberts Noble Foundation |
Samuel Roberts Noble Foundation ; NSF ABI-0960897 |
PMID:22110036 | biotools:legumeip, nlx_151455 | https://bio.tools/legumeip | SCR_008906 | LegumeIP: an integrative database for comparative genomics and transcriptomics of model legumes, LegumeIP - An Integrative Platform to Study Gene Function and Genome Evolution in Legumes | 2026-09-12 12:57:10 | 23 | |||||
|
GMA Resource Report Resource Website |
GMA (RRID:SCR_009212) | GMA | data analysis software, data processing software, software application, software resource, time-series analysis software | Software package to perform Granger mediation analysis for time series. Includes single level GMA model and two-level GMA model, for time series with hierarchically nested structure. | Granger, meditation, analysis, time, series, level, GMA, model, BRAIN Initiative, bio.tools |
is recommended by: BRAIN Initiative is listed by: Genetic Analysis Software is listed by: Debian is listed by: bio.tools |
NIBIB EB022911 | PMID:31070732 | Free, Available for download, Freely available | nlx_154361, biotools:GMA | https://github.com/chaoning/GMA, https://bio.tools/GMA | http://www.montana.edu/kalinowski/GMA/GMA_Home.htm | SCR_009212 | Granger Mediation Analysis | 2026-09-12 12:57:11 | 0 | |||
|
BeeBase Resource Report Resource Website 50+ mentions |
BeeBase (RRID:SCR_008966) | BeeBase | analysis service resource, data analysis service, data or information resource, data set, database, production service resource, service resource | Gene sequences and genomes of Bombus terrestris, Bombus impatiens, Apis mellifera and three of its pathogens, that are discoverable and analyzed via genome browsers, blast search, and apollo annotation tool. The genomes of two additional species, Apis dorsata and A. florea are currently under analysis and will soon be incorporated.BeeBase is an archive and will not be updated. The most up-to-date bee genome data is now available through the navigation bar on the HGD Home page. | genome, gene set, sequence, bee, genomics, entomology, blast, annotation, pest, pathogen, honey, beehive, insect, bee pollen, bee product, bee culture, pollination, pollinator, bio.tools, FASEB list |
is listed by: re3data.org is listed by: Debian is listed by: bio.tools has parent organization: University of Missouri; Missouri; USA |
Texas Agricultural Experiment Station ; Golden Heritage Foods and Sioux Honey Association ; NHGRI 5-P41-HG000739-13; USDA 2008-35302-18804 |
PMID:21071397 | Open unspecified license, Acknowledgement requested, Data Usage Policy | nlx_152034, biotools:hgd, r3d100010925 | https://bio.tools/hgd, https://doi.org/10.17616/R3Z629 | SCR_008966 | Hymenoptera Genome Database | 2026-09-12 12:57:11 | 56 | ||||
|
R/QTLBIM Resource Report Resource Website 1+ mentions |
R/QTLBIM (RRID:SCR_009375) | software application, software library, software resource, software toolkit | Software library for QTL Bayesian Interval Mapping that provides a Bayesian model selection approach to map multiple interacting QTL. It works on experimentally inbred lines and performs a genome-wide search to locate multiple potential QTL. The package can handle continuous, binary and ordinal traits. (entry from Genetic Analysis Software) | gene, genetic, genomic, r, bio.tools |
is listed by: Genetic Analysis Software is listed by: bio.tools is listed by: Debian |
nlx_154597, biotools:qtlbim | http://www.ssg.uab.edu/qtlbim/index.jsp, https://cran.r-project.org/src/contrib/Archive/qtlbim/, https://bio.tools/qtlbim | http://www.qtlbim.org/ | SCR_009375 | 2026-09-12 12:57:12 | 2 | ||||||||
|
iMir Resource Report Resource Website 10+ mentions |
iMir (RRID:SCR_009496) | iMir | software resource | A modular pipeline for comprehensive analysis of smallRNA-Seq data, comprising specific tools for adapter trimming, quality filtering, DE analysis, target prediction by integrating multiple open source modules and resources in an automated workflow. | unix/linux, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
PMID:24330401 | Apache License | OMICS_00358, biotools:imir | https://bio.tools/imir | SCR_009496 | 2026-09-12 12:57:12 | 11 | ||||||
|
ArtificialFastqGenerator Resource Report Resource Website 10+ mentions |
ArtificialFastqGenerator (RRID:SCR_006880) | ArtificialFastqGenerator | software resource | Software to evaluate and improve the accuracy of sequencing error under different experimental conditions. It can identify which components of a system may be suboptimal and which regions of the genome may be problematic. | matlab, java, Next Generation Sequencing, aligns reads, reference genome |
is listed by: OMICtools is listed by: Debian |
PMID:23152858 | GNU GPL v3 | OMICS_00248, SCR_015979 | https://sources.debian.org/src/artfastqgenerator/ | SCR_006880 | Artfastqgenerator - Ouputs artificial FASTQ files derived from a reference genome | 2026-09-12 12:56:47 | 10 | |||||
|
BarraCUDA Resource Report Resource Website 1+ mentions |
BarraCUDA (RRID:SCR_006881) | BarraCUDA | software resource | A sequence mapping software that utilizes the massive parallelism of graphics processing units to accelerate the inexact alignment of short sequence reads to a particular location on a reference genome. It can align a paired-end library containing 14 million pairs of 76bp reads to the Human genome in about 27 minutes (from fastq files to SAM alignment) using a ��380 NVIDIA Geforce GTX 680*. The alignment throughput can be boosted further by using multiple GPUs (up to 8) at the same time. Being based on BWA (http://bio-bwa.sf.net) from the Sanger Institute, BarraCUDA delivers a high level of alignment fidelity and is comparable to other mainstream alignment programs. It can perform gapped alignment with gap extensions, in order to minimise the number of false variant calls in re-sequencing studies. | gpu/cuda, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of Cambridge; Cambridge; United Kingdom has parent organization: SourceForge |
PMID:22244497 PMID:19451168 |
Acknowledgement requested | OMICS_00650, biotools:barracuda | https://bio.tools/barracuda | SCR_006881 | 2026-09-12 12:56:47 | 5 | ||||||
|
PeptideAtlas Resource Report Resource Website 500+ mentions |
PeptideAtlas (RRID:SCR_006783) | PeptideAtlas | data or information resource, data repository, database, service resource, storage service resource | Multi-organism, publicly accessible compendium of peptides identified in a large set of tandem mass spectrometry proteomics experiments. Mass spectrometer output files are collected for human, mouse, yeast, and several other organisms, and searched using the latest search engines and protein sequences. All results of sequence and spectral library searching are subsequently processed through the Trans Proteomic Pipeline to derive a probability of correct identification for all results in a uniform manner to insure a high quality database, along with false discovery rates at the whole atlas level. The raw data, search results, and full builds can be downloaded for other uses. All results of sequence searching are processed through PeptideProphet to derive a probability of correct identification for all results in a uniform manner ensuring a high quality database. All peptides are mapped to Ensembl and can be viewed as custom tracks on the Ensembl genome browser. The long term goal of the project is full annotation of eukaryotic genomes through a thorough validation of expressed proteins. The PeptideAtlas provides a method and a framework to accommodate proteome information coming from high-throughput proteomics technologies. The online database administers experimental data in the public domain. You are encouraged to contribute to the database. | proteomics, peptide, mass spectrometry, annotation, eukaryotic, genome, peptide sequence, high-throughput mass spectrometry, ensembl, peptideprophet, protein sequence, blood plasma, protein, eukaryotic cell, dna, bio.tools, FASEB list |
is used by: NIF Data Federation is used by: ProteomeXchange is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: Biositemaps is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: Ensembl is related to: ProteomeXchange is related to: NIH Data Sharing Repositories is related to: Integrated Manually Extracted Annotation has parent organization: Institute for Systems Biology; Washington; USA |
NCI ; NHGRI ; NIGMS |
PMID:20013378 PMID:23215161 PMID:16381952 PMID:15642101 |
Public, The community can contribute to this resource, Acknowledgement requested | nif-0000-03266, r3d100010889, biotools:peptideatlas | https://bio.tools/peptideatlas, https://doi.org/10.17616/R3BK61 | SCR_006783 | Peptide Atlas, PeptideAtlas | 2026-09-12 12:56:45 | 511 | ||||
|
ShortRead Resource Report Resource Website 100+ mentions |
ShortRead (RRID:SCR_006813) | ShortRead | software resource | Software package for input, quality assessment and exploration of high-throughput sequence data. Used for input, quality assurance, and basic manipulation of `short read'' DNA sequences such as those produced by Solexa, 454, and related technologies, including exible import of common short read data formats. | high throughput sequence data, short read, DNA sequences, short read data |
is listed by: OMICtools is listed by: Debian is listed by: SoftCite has parent organization: Bioconductor |
PMID:19654119 | Free, Available for download, Freely available | OMICS_01076 | https://sources.debian.org/src/r-bioc-shortread/ | SCR_006813 | ShortRead - Classes and methods for high-throughput short-read sequencing data. | 2026-09-12 12:56:46 | 235 | |||||
|
Ensembl Genomes Resource Report Resource Website 100+ mentions |
Ensembl Genomes (RRID:SCR_006773) | data access protocol, data or information resource, database, software resource, web service | Database portal offering integrated access to genome-scale data from non-vertebrate species of scientific interest, developed using the Ensembl genome annotation and visualization platform. Ensembl Genomes consists of five sub-portals (for bacteria, protists, fungi, plants and invertebrate metazoa) designed to complement the availability of vertebrate genomes in Ensembl. Many of the databases supporting the portal have been built in close collaboration with the scientific community - essential for maintaining the accuracy and usefulness of the resource. A common set of user interfaces (which include a graphical genome browser, FTP, BLAST search, a query optimized data warehouse, programmatic access, and a Perl API) is provided for all domains. Data types incorporated include annotation of (protein and non-protein coding) genes, cross references to external resources, and high throughput experimental data (e.g. data from large scale studies of gene expression and polymorphism visualized in their genomic context). Additionally, extensive comparative analysis has been performed, both within defined clades and across the wider taxonomy, and sequence alignments and gene trees resulting from this can be accessed through the site. | genome, gold standard, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Ensembl is related to: Ensembl is related to: g:Profiler has parent organization: European Bioinformatics Institute |
European Molecular Biology Laboratory ; European Union FELICS 021902 (RII3); BBSRC BB/F019793/1 |
PMID:24163254 PMID:19884133 |
r3d100011197, OMICS_01648, biotools:ensembl_genomes, nlx_65207 | https://bio.tools/ensembl_genomes, https://doi.org/10.17616/R3MW6M | SCR_006773 | Ensembl Genomes: Extending Ensembl across the taxonomic space, EnsemblGenomes, Ensembl Genome | 2026-09-12 12:56:45 | 320 | ||||||
|
canSAR Resource Report Resource Website 50+ mentions |
canSAR (RRID:SCR_006794) | canSAR | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | canSAR is an integrated database that brings together biological, chemical, pharmacological (and eventually clinical) data. Its goal is to integrate this data and make it accessible to cancer research scientists from multiple disciplines, in order to help with hypothesis generation in cancer research and support translational research. This cancer research and drug discovery resource was developed to utilize the growing publicly available biological annotation, chemical screening, RNA interference screening, expression, amplification and 3D structural data. Scientists can, in a single place, rapidly identify biological annotation of a target, its structural characterization, expression levels and protein interaction data, as well as suitable cell lines for experiments, potential tool compounds and similarity to known drug targets. canSAR has, from the outset, been completely use-case driven which has dramatically influenced the design of the back-end and the functionality provided through the interfaces. The Web interface provides flexible, multipoint entry into canSAR. This allows easy access to the multidisciplinary data within, including target and compound synopses, bioactivity views and expert tools for chemogenomic, expression and protein interaction network data. | molecular target, expression, cell line, compound, molecule, protein, structure, ligand, drug, 3d, genomics, 3d complex, bioactivity, protein affinity, cell line sensitivity, pathway, annotation, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: BindingDB is related to: Gene Ontology has parent organization: Cancer Research UK |
Cancer | Cancer Research UK C309/A8274 | PMID:22013161 | CanSAR is freely available to all cancer researchers. By using canSAR you are agreeing to the Terms of Use, Https://cansar.icr.ac.uk/cansar/terms-of-use/ | biotools:cansar, nlx_149410 | https://bio.tools/cansar | SCR_006794 | 2026-09-12 12:56:45 | 56 | ||||
|
REDfly Regulatory Element Database for Drosophilia Resource Report Resource Website 10+ mentions |
REDfly Regulatory Element Database for Drosophilia (RRID:SCR_006790) | REDfly | data or information resource, data repository, database, service resource, storage service resource | Curated collection of known Drosophila transcriptional cis-regulatory modules (CRMs) and transcription factor binding sites (TFBSs). Includes experimentally verified fly regulatory elements along with their DNA sequence, associated genes, and expression patterns they direct. Submission of experimentally verified cis-regulatory elements that are not included in REDfly database are welcome. | transcriptional cis-regulatory module, transcription factor binding site, dna sequence, gene, expression pattern, genome, gene expression, transcription factor, cis-regulatory module, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Drosophila anatomy and development ontologies is related to: FlyMine has parent organization: University at Buffalo; New York; USA |
NIGMS U24 GM144232; NSF EF0843229 |
PMID:20965965 PMID:18039705 PMID:16303794 |
Acknowledgement requested | OMICS_01870, biotools:redfly, nif-0000-03393 | https://bio.tools/redfly | SCR_006790 | Regulatory Element Database for Drosophilia, Regulatory Element Database | 2026-09-12 12:56:45 | 15 | ||||
|
EBCall Resource Report Resource Website 10+ mentions |
EBCall (RRID:SCR_006791) | EBCall | software resource | A software package for somatic mutation detection (including InDels). EBCall uses not only paired tumor/normal sequence data of a target sample, but also multiple non-paired normal reference samples for evaluating distribution of sequencing errors, which leads to an accurate mutaiton detection even in case of low sequencing depths and low allele frequencies. | mutation, cancer, genome, sequencing, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of Tokyo; Tokyo; Japan |
PMID:23471004 | Copyright conditions, Acknowledgement required | biotools:ebcall, OMICS_00084 | https://bio.tools/ebcall | SCR_006791 | EBCall (Empirical Baysian mutation Calling), Empirical Baysian mutation Calling | 2026-09-12 12:56:45 | 20 | |||||
|
RamiGO Resource Report Resource Website 10+ mentions |
RamiGO (RRID:SCR_006922) | RamiGO | software resource | Software package with an R interface sending requests to AmiGO visualize, retrieving DAG GO trees, parsing GraphViz DOT format files and exporting GML files for Cytoscape. Also uses RCytoscape to interactively display AmiGO trees in Cytoscape. | visualization, analysis, ontology or annotation search engine, ontology or annotation visualization, other analysis, classification, go, graph, network, third party client, 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 is related to: Cytoscape is related to: AmiGO has parent organization: Dana-Farber Cancer Institute has parent organization: Bioconductor |
PMID:23297033 | Artistic License, v2 | biotools:ramigo, OMICS_02267, nlx_149331 | http://bioconductor.org/packages/release/bioc/html/RamiGO.html, https://bio.tools/ramigo | SCR_006922 | ramigo, RamiGO - AmiGO visualize R interface | 2026-09-12 12:56:47 | 12 | |||||
|
WSsas - Web Service for the SAS tool Resource Report Resource Website |
WSsas - Web Service for the SAS tool (RRID:SCR_007051) | WSsas | data access protocol, software resource, web service | SAS is a tool for applying structural information to a given protein sequence. It uses FASTA to scan a given protein sequence against all the proteins of known 3D structure in the Protein Data Bank and provides functional residue annotation based on data from the Catalytic Site Atlas and PDBsum. The web service is aimed to facilitate the use of the SAS tool when having a huge number of queries. Currently, the web service provides annotation for binding sites (to ligand, metal or nucleic acid), catalytic residues and amino acids related to protein-protein interactions. | gold standard, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: SAS - Sequence Annotated by Structure has parent organization: European Bioinformatics Institute |
nlx_18182, biotools:wssas | https://bio.tools/wssas | SCR_007051 | Web Service for the SAS tool | 2026-09-12 12:56:49 | 0 | |||||||
|
AutismKB Resource Report Resource Website 10+ mentions |
AutismKB (RRID:SCR_006937) | AutismKB | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Genetic factors contribute significantly to ASD. AutismKB is an evidence-based knowledgebase of Autism spectrum disorder (ASD) genetics. The current version contains 2193 genes (99 syndromic autism related genes and 2135 non-syndromic autism related genes), 4617 Copy Number Variations (CNVs) and 158 linkage regions associated with ASD by one or more of the following six experimental methods: # Genome-Wide Association Studies (GWAS); # Genome-wide CNV studies; # Linkage analysis; # Low-scale genetic association studies; # Expression profiling; # Other low-scale gene studies. Based on a scoring and ranking system, 99 syndromic autism related genes and 383 non-syndromic autism related genes (434 genes in total) were designated as having high confidence. Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder with a prevalence of 1.0-2.6%. The three core symptoms of ASD are: # impairments in reciprocal social interaction; # communication impairments; # presence of restricted, repetitive and stereotyped patterns of behavior, interests and activities. | gene, copy number variation, linkage region, genome-wide association study, family-based association study, case-control association study, expression profile, blast, syndromic, non-syndromic, snp, vntr, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: Peking University; Beijing; China |
Autism spectrum disorder, Autism | Merck ; Johnson and Johnson ; Natural Science Foundation of China 31025014; Natural Science Foundation of China 2011CBA01102 |
PMID:22139918 | biotools:autismkb, nlx_151318 | https://bio.tools/autismkb | SCR_006937 | Autism Knowledgebase | 2026-09-12 12:56:47 | 34 | ||||
|
Myrna Resource Report Resource Website 1+ mentions |
Myrna (RRID:SCR_006951) | Myrna | software resource | A cloud computing tool for calculating differential gene expression in large RNA-seq datasets. It uses Bowtie for short read alignment and R/Bioconductor for interval calculations, normalization, and statistical testing. These tools are combined in an automatic, parallel pipeline that runs in the cloud (Elastic MapReduce in this case) on a local Hadoop cluster, or on a single computer, exploiting multiple computers and CPUs wherever possible. | mapreduce, hadoop, cloud computing, differential expression, gene expression, rna-seq, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: ReCount - A multi-experiment resource of analysis-ready RNA-seq gene count datasets has parent organization: Johns Hopkins University; Maryland; USA |
PMID:20701754 | Artistic License | OMICS_01310, biotools:myrna | https://github.com/BenLangmead/myrna, https://bio.tools/myrna | SCR_006951 | Myrna: Cloud-scale differential gene expression for RNA-seq | 2026-09-12 12:56:48 | 2 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that NIF has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on NIF then you can log in from here to get additional features in NIF such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
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.