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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Genomatix Software: Understanding Gene Regulation Resource Report Resource Website 500+ mentions |
Genomatix Software: Understanding Gene Regulation (RRID:SCR_008036) | data or information resource, portal, data analysis software, narrative resource, database, topical portal, software application, short course material, software resource, data processing software, training material | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 13,2026. Genomatix is a privately held company that offers software, databases, and services aimed at understanding gene regulation at the molecular level representing a central part of systems biology. Its multilayer integrative approach is a working implementation of systems biology principles. Genomatix combines sequence analysis, functional promoter analysis, proprietary genome annotation, promoter sequence databases, comparative genomics, scientific literature data mining, pathway databases, biological network databases, pathway analysis, network analysis, and expression profiling into working solutions and pipelines. It also enables better understanding of biological mechanisms under different conditions and stimuli in the biological context of your data. Some of Genomatix'' most valuable assets are the strong scientific background and the years of experience in research & discovery as well as in development & application of scientific software. Their firsthand knowledge of all the complexities involved in the in-silico analysis of biological data makes them a first-rate partner for all scientific projects involving the evaluation of gene regulatory mechanisms. The Genomatix team has more than a decade of scientific expertise in the successful application of computer aided analysis of gene regulatory networks, which is reflected by more than 150 peer reviewed scientific publications from Genomatix'' scientists More than 35,000 researchers in industry and academia around the world use this technology. The software available in Genomatix are: - GenomatixSuite: GenomatixSuite is our comprehensive software bundle including ElDorado, Gene2Promoter, GEMS Launcher, MatInspector and MatBase. GenomatixSuite PE also includes BiblioSphere Pathway Edition. Chromatin IP Software - RegionMiner: Fast, extensive analysis of genomic regions. - ChipInspector: Discover the real power of your microarray data. Genome Annotation Software - ElDorado: Extended Genome Annotation. - Gene2Promoter: Retrieve & analyze promoters - GPD: The Genomatix Promoter Database, which is now included with Gene2Promoter. Knowledge Mining Software - BiblioSpere : The next level of pathway/genomics analysis. - LitInspector: Literature and pathway analysis for free. Sequence Analysis Software - GEMS Launcher: Our integrated collection of sequence analysis tools. - MalInspector: Search transcription factor binding sites - MatBase: The transcription factor knowledge base. Other (no registration required) Software - DiAlign: Multiple alignment of DNA/protein sequence. - Genomatix tools: Various small tools for sequence statistics, extraction, formatting, etc. | effect, expression, functional, gene, genome, alignment, analysis, annotation, biological, cascade, cell, data, dna, in-silico analysis, mechanism, metabolic pathway, microarray, mining, molecular, network, pathway, promoter, protein, region, regulation, scientific, sequence, signaling, software, stimulus, systems biology, technology, text mining, transcription, FASEB list | has parent organization: Genomatix Solutions | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10236 | http://www.genomatix.de/products/index.html | SCR_008036 | Genomatix | 2026-08-01 12:03:36 | 868 | |||||||
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RIKEN Omics Science Center Resource Report Resource Website |
RIKEN Omics Science Center (RRID:SCR_008241) | data or information resource, portal, research forum portal, topical portal, disease-related portal | Omics Science Center is aiming to develop a comprehensive system called Life Science Accelerator(LSA) for the advancement of omics research. The LSA is a comprehensive system consists of biological resources, human resources, technologies, know-how, and essential administrative ability. Ultimate goal of LSA is to support and accelerate the advancement in life science research. Omics is the comprehensive study of molecules in living organisms. The complete sequencing of genomes (the complete set of genes in an organism) has enabled rapid developments in the collection and analysis of various types of comprehensive molecular data such as transcriptomes (the complete set of gene expression data) and proteomes (the complete set of intracellular proteins). Fundamental omics research aims to link these omics data to molecular networks and pathways in order to advance the understanding of biological phenomena as systems at the molecular level. | expression, gene, genome, human, intracellular, life, living, model organisms and comparative genomics databases, molecule, omics, organism, pathway, protein, proteome, science, sequence, technology, transcriptome | is parent organization of: FANTOM DB | RIKEN Yokohama Institute Yokohama Research Promotion Division of Japan | nif-0000-21361 | SCR_008241 | RIKEN OSC | 2026-08-01 12:03:28 | 0 | ||||||||
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MODELLER Resource Report Resource Website 5000+ mentions |
MODELLER (RRID:SCR_008395) | data or information resource, portal, topical portal, software application, software resource, simulation software | Software tool as Program for Comparative Protein Structure Modelling by Satisfaction of Spatial Restraints. Used for homology or comparative modeling of protein three dimensional structures. User provides alignment of sequence to be modeled with known related structures and MODELLER automatically calculates model containing all non hydrogen atoms. | comparative, protein, structure, modelling, satisfaction, spatial, restrain, homology, 3D, alignment, sequence, hydrogen, atom, cluster |
is listed by: SoftCite has parent organization: University of California at San Francisco; California; USA |
Sandler Family Supporting Foundation ; NIGMS R01 GM54762; NIGMS P01 GM71790; NIH P01 A135707; NIGMS U54 GM62529; IBM ; Intel |
Restricted | nif-0000-30054 | SCR_008395 | 2026-08-01 12:03:43 | 5736 | ||||||||
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G protein receptor interaction feature finding instrument Resource Report Resource Website 10+ mentions |
G protein receptor interaction feature finding instrument (RRID:SCR_008343) | analysis service resource, service resource, resource, production service resource | Griffin (G-protein-receptor interacting feature finding instrument) is a high-throughput system to predict GPCR - G-protein coupling selectively with the input of GPCR sequence and ligand molecular weight. This system consists of two parts: 1) HMM section using family specific multiple alignment of GPCRs, 2) SVM section using physico-chemical feature vectors in GPCR sequence. G-protein coupled receptors (GPCR), which is composed of seven transmembrane helices, play a role as interface of signal transduction. The external stimulation for GPCR, induce the coupling with G-protein (Gi/o, Gq/11, Gs, G12/13) followed by different kinds of signal transduction to inner cell. About half of distributed drugs are intending to control this GPCR - G-protein binding system, and therefore this system is important research target for the development of effective drug. For this purpose, it is necessary to monitor, effectively and comprehensively, of the activation of G-protein by identifying ligand combined with GPCR. Since, at present, it is difficult to construct such biochemical experiment system, if the answers for experimental results can be prepared beforehand by using bioinformatics techniques, large progress is brought to G-protein related drug design. Previous works for predicting GPCR-G protein coupling selectivity are using sequence pattern search, statistical models, and HMM representations showed high sensitivity of predictions. However, there are still no works that can predict with both high sensitivity and specificity. In this work we extracted comprehensively the physico-chemical parameters of each part of ligand, GPCR and G-protein, and choose the parameters which have strong correlation with the coupling selectivity of G-protein. These parameters were put as a feature vector, used for GPCR classification based on SVM. | drug, alignment, biochemical, bioinformatic, coupling, gpcr, g-protein, helix, instrument, interface, ligand, molecular, pattern, physico-chemical, receptor interacting, sequence, signal transduction, stimulation, svm, system, technique, transmembrane, weight, instrument, equipment, hardware, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Computational Biology Research Center Core Facility |
National Institute of Advanced Industrial Science and Technology | nif-0000-25210, biotools:griffin | https://bio.tools/griffin | SCR_008343 | Griffin | 2026-08-01 12:03:42 | 19 | |||||||
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Distributed Annotation System Resource Report Resource Website 10+ mentions |
Distributed Annotation System (RRID:SCR_008427) | software resource, narrative resource, data or information resource, standard specification | The Distributed Annotation System (DAS) defines a communication protocol used to exchange annotations on genomic or protein sequences. It is motivated by the idea that such annotations should not be provided by single centralized databases, but should instead be spread over multiple sites. Data distribution, performed by DAS servers, is separated from visualization, which is done by DAS clients. The advantages of this system are that control over the data is retained by data providers, data is freed from the constraints of specific organisations and the normal issues of release cycles, API updates and data duplication are avoided. DAS is a client-server system in which a single client integrates information from multiple servers. It allows a single machine to gather up sequence annotation information from multiple distant web sites, collate the information, and display it to the user in a single view. Little coordination is needed among the various information providers. DAS is heavily used in the genome bioinformatics community. Over the last years we have also seen growing acceptance in the protein sequence and structure communities. A DAS-enabled website or application can aggregate complex and high-volume data from external providers in an efficient manner. For the biologist, this means the ability to plug in the latest data, possibly including a user''s own data. For the application developer, this means protection from data format changes and the ability to add new data with minimal development cost. Here are some examples of DAS-enabled applications or websites for end users: :- Dalliance Experimental Web/Javascript based Genome Viewer :- IGV Integrative Genome Viewer java based browser for many genomes :- Ensembl uses DAS to pull in genomic, gene and protein annotations. It also provides data via DAS. :- Gbrowse is a generic genome browser, and is both a consumer and provider of DAS. :- IGB is a desktop application for viewing genomic data. :- SPICE is an application for projecting protein annotations onto 3D structures. :- Dasty2 is a web-based viewer for protein annotations :- Jalview is a multiple alignment editor. :- PeppeR is a graphical viewer for 3D electron microscopy data. :- DASMI is an integration portal for protein interaction data. :- DASher is a Java-based viewer for protein annotations. :- EpiC presents structure-function summaries for antibody design. :- STRAP is a STRucture-based sequence Alignment Program. Hundreds of DAS servers are currently running worldwide, including those provided by the European Bioinformatics Institute, Ensembl, the Sanger Institute, UCSC, WormBase, FlyBase, TIGR, and UniProt. For a listing of all available DAS sources please visit the DasRegistry. Sponsors: The initial ideas for DAS were developed in conversations with LaDeana Hillier of the Washington University Genome Sequencing Center. | annotation, database, software, genomic, protein, sequence, visualization, data, client-server, integration, bioinformatics, genome, structure, data integration |
is listed by: 3DVC has parent organization: Uppsala University; Uppsala; Sweden |
Howard Hughes Medical Institute ; NHGRI 2-P01-HG00956 |
nif-0000-30177 | SCR_008427 | BioDAS | 2026-08-01 12:03:44 | 11 | ||||||||
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Augustus Resource Report Resource Website 1000+ mentions |
Augustus (RRID:SCR_008417) | data analysis software, web application, software application, software resource, sequence analysis software, data processing software | Software for gene prediction in eukaryotic genomic sequences. Serves as a basis for further steps in the analysis of sequenced and assembled eukaryotic genomes. | software, gene, prediction, eucaryotic, genomic, sequence |
is used by: BRAKER is used by: BRO_annotation is listed by: Debian is listed by: OMICtools is listed by: SoftCite works with: Gsnap2Augustus |
Deutsche Forschungsgemeinschaft (DFG) HO4545/1-1;; STA1009/6-1 ; Institute for Mathematics and Computer Science ; Ernst Moritz Arndt University of Greifswald |
PMID:23700307 DOI:10.1093/bioinformatics/btw494 |
Free, Available for download, Freely available | SCR_015981, OMICS_07777, nif-0000-30133 | https://sources.debian.org/src/autodock-vina/ | SCR_008417 | Augustus: Gene Prediction, WebAUGUSTUS, Augustus, Augustus [gene prediction] | 2026-08-01 12:03:31 | 3542 | |||||
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SeWeR - SEquence analysis using WEb Resources Resource Report Resource Website |
SeWeR - SEquence analysis using WEb Resources (RRID:SCR_004167) | data or information resource, portal, service resource, topical portal, software resource | Sequence analysis using Web Resources (SeWeR) is an integrated, Dynamic HTML (DHTML) interface to commonly used bioinformatics services available on the World Wide Web. It is highly customizable, extendable, platform neutral, completely server-independent and can be hosted as a web page as well as being used as stand-alone software running within a web browser. It doesn''t require any server to host itself. The goal of SeWeR is to turn your web-browser into a powerful sequence-analysis tool. It is written entirely in JavaScript1.2. SeWeR can be downloaded and mirrored freely. The whole package is just around 300K. You can even run it from a floppy. SeWeR is not compatible with Netscape 6. SeWeR now generates graphics. Savvy is a plasmid drawing software that generates plasmid map in the revolutionary Scalable Vector Graphics format from W3C. | nucleic acid, protein, pcr, alignment, sequence, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Centre for Cellular and Molecular Biology; Hyderabad; India |
PMID:11395442 | biotools:sewer, nlx_18981 | https://bio.tools/sewer | SCR_004167 | SEquence analysis using WEb Resources, SeWeR | 2026-08-01 12:02:38 | 0 | |||||||
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NEXTDB Resource Report Resource Website 10+ mentions |
NEXTDB (RRID:SCR_004480) | NextDB | data analysis service, data or information resource, database, service resource, expression atlas, atlas, production service resource, analysis service resource | Expression pattern map of the 100Mb genome of the nematode Caenorhabditis elegans through EST analysis and systematic whole mount in situ hybridization. NEXTDB is the database to integrate all information from their expression pattern project and to make the data available to the scientific community. Information available in the current version is as follows: * Map: Visual expression of the relationships among the cosmids, predicted genes and the cDNA clones. * Image: In situ hybridization images that are arranged by their developmental stages. * Sequence: Tag sequences of the cDNA clones are available. * Homology: Results of BLASTX search are available. Users of the data presented on our web pages should not publish the information without our permission and appropriate acknowledgment. Methods are available for: * In situ hybridization on whole mount embryos of C.elegans * Protocols for large scale in situ hybridization on C.elegans larvae | rnai phenotype, homology, blast, fasta, chromosome map, cosmid, gene, cdna clone, genome, in situ hybridization, expressed sequence tag, developmental stage, sequence, embryonic caenorhabditis elegans, chromosome, phenotype, blastx, clone, sequence tag, yac, predicted gene, protein, development, larval caenorhabditis elegans, image collection, experimental protocol, FASEB list |
is related to: Expression Patterns for C. elegans promoter GFP fusions is related to: Expression Patterns for C. elegans promoter GFP fusions has parent organization: National Institute of Genetics; Shizuoka; Japan |
Core Research for Evolutional Science and Technology ; Japan Science and Technology Corporation ; Japanese Ministry of Education Culture Sports Science and Technology MEXT |
Permission required, Acknowledgement required | nlx_46406 | SCR_004480 | Nematode Expression Pattern DataBase | 2026-08-01 12:02:41 | 35 | ||||||
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SOrt-ITEMS Resource Report Resource Website 1+ mentions |
SOrt-ITEMS (RRID:SCR_004716) | SOrt-ITEMS | software resource | Sequence orthology based software for improved taxonomic estimation of metagenomic sequences., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | metagenome, taxonomy, sequence, orthology, binning | is listed by: OMICtools | PMID:19439565 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01465 | SCR_004716 | Sequence orthology based approach for improved taxonomic estimation of metagenomic sequences, SOrt-ITEMS: Sequence orthology based approach for improved taxonomic estimation of metagenomic sequences | 2026-08-01 12:02:44 | 6 | ||||||
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AbundanceBin Resource Report Resource Website 1+ mentions |
AbundanceBin (RRID:SCR_004648) | AbundanceBin | software resource | An abundance-based software tool for binning metagenomic sequences, such that the reads classified in a bin belong to species of identical or very similar abundances. AbundanceBin also gives estimations of species abundances and their genome sizes -two important characteristic parameters for a microbial community. | metagenome, sequence |
is listed by: OMICtools has parent organization: Indiana University; Indiana; USA |
PMID:21385052 | Acknowledgement requested, Free, Public | OMICS_01471 | SCR_004648 | 2026-08-01 12:02:39 | 6 | |||||||
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NovelSeq Resource Report Resource Website |
NovelSeq (RRID:SCR_003136) | NovelSeq | software resource | Software pipeline to detect novel sequence insertions using high throughput paired-end whole genome sequencing data. | sequence, insertion, genome sequencing, genome, next-generation sequencing, illumina, unix, linux, c, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: SPLITREAD has parent organization: Simon Fraser University; British Columbia; Canada has parent organization: SourceForge |
PMID:20385726 | Free, Available for download, Freely available | biotools:novelseq, nlx_156791, OMICS_02164 | https://mybiosoftware.com/novelseq-1-0-2-sequence-insertions-detection.html#google_vignette | SCR_003136 | NovelSeq: Novel Sequence Insertion Detection | 2026-08-01 12:02:03 | 0 | |||||
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Database of Interacting Proteins (DIP) Resource Report Resource Website 100+ mentions |
Database of Interacting Proteins (DIP) (RRID:SCR_003167) | DIP | data analysis service, data or information resource, data repository, storage service resource, database, service resource, production service resource, analysis service resource | Database to catalog experimentally determined interactions between proteins combining information from a variety of sources to create a single, consistent set of protein-protein interactions that can be downloaded in a variety of formats. The data were curated, both, manually and also automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the most reliable, core subset of the DIP data. Because the reliability of experimental evidence varies widely, methods of quality assessment have been developed and utilized to identify the most reliable subset of the interactions. This CORE set can be used as a reference when evaluating the reliability of high-throughput protein-protein interaction data sets, for development of prediction methods, as well as in the studies of the properties of protein interaction networks. Tools are available to analyze, visualize and integrate user's own experimental data with the information about protein-protein interactions available in the DIP database. The DIP database lists protein pairs that are known to interact with each other. By interact they mean that two amino acid chains were experimentally identified to bind to each other. The database lists such pairs to aid those studying a particular protein-protein interaction but also those investigating entire regulatory and signaling pathways as well as those studying the organization and complexity of the protein interaction network at the cellular level. Registration is required to gain access to most of the DIP features. Registration is free to the members of the academic community. Trial accounts for the commercial users are also available. | blast, cellular network, ligand-receptor complex, ligand, network, protein, protein interaction, protein ligand, protein-protein interaction, protein receptor, receptor, sequence, interaction, regulatory pathway, signaling pathway, protein binding, bio.tools, FASEB list |
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: OMICtools is listed by: re3data.org is listed by: NIH Data Sharing Repositories is listed by: bio.tools is listed by: Debian is related to: IMEx - The International Molecular Exchange Consortium is related to: IMEx - The International Molecular Exchange Consortium is related to: MPIDB is related to: TissueNet - The Database of Human Tissue Protein-Protein Interactions is related to: InteroPorc is related to: Interaction Reference Index is related to: ConsensusPathDB is related to: NIH Data Sharing Repositories is related to: PSICQUIC Registry is related to: Agile Protein Interactomes DataServer has parent organization: University of California at Los Angeles; California; USA |
NIGMS | PMID:14681454 | Free, Available for download, Freely available | OMICS_01905, nif-0000-00569, r3d100010882, biotools:dip | https://dip.doe-mbi.ucla.edu/dip/Main.cgi, https://bio.tools/dip, https://doi.org/10.17616/R3431F | SCR_003167 | , Database of Interacting Proteins, DIP, Database of Interacting Proteins (DIP) | 2026-08-01 12:02:28 | 153 | ||||
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Honig Lab Resource Report Resource Website |
Honig Lab (RRID:SCR_003410) | Honig Lab | data analysis service, data or information resource, laboratory portal, portal, database, service resource, data set, production service resource, software resource, analysis service resource, organization portal | Laboratory portal, including software, web-based tools, databases and data sets, related to their research that focuses on the development and application of biophysical and bioinformatics methods aimed at understanding the structural and energetic origins of protein-protein, protein-nucleic acid, and protein-membrane interactions. Their work includes fundamental theoretical research, the development of software tools, and applications to problems of biological importance. In this regard they maintain an active collaborative computational and experimental research program on the molecular basis of cell-cell adhesion. Other problems of current interest include protein structure prediction, the organization of protein sequence/structure space, the prediction of protein function based on protein structure, the structural origins of specificity in protein-DNA interactions, RNA function and, more generally, the electrostatic properties of biological macromolecules. | electrostatic, function, adhesion, analysis, biological, biophysical, cell, dna, interaction, macromolecule, membrane, nucleic acid, protein, rna, sequence, specificity, structural, structure, protein structure, protein, protein-protein interaction, protein-nucleic acid interaction, protein-membrane interaction |
is listed by: Biositemaps has parent organization: Columbia University; New York; USA |
nif-0000-33026 | SCR_003410 | Honig Laboratory | 2026-08-01 12:02:30 | 0 | ||||||||
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DTU Center for Biological Sequence Analysis Resource Report Resource Website 1000+ mentions |
DTU Center for Biological Sequence Analysis (RRID:SCR_003590) | CBS, DTU CBS | data access protocol, service resource, production service resource, software resource, analysis service resource, web service | Center for Biological Sequence Analysis of the Technical University of Denmark conducts basic research in the field of bioinformatics and systems biology and directs its research primarily towards topics related to the elucidation of the functional aspects of complex biological mechanisms. A large number of computational methods have been produced, which are offered to others via WWW servers. Several data sets are also available. The center also has experimental efforts in gene expression analysis using DNA chips and data generation in relation to the physical and structural properties of DNA. The on-line prediction services at CBS are available as interactive input forms. Most of the servers are also available as stand-alone software packages with the same functionality. In addition, for some servers, programmatic access is provided in the form of SOAP-based Web Services. The center also educates engineering students in biotechnology and systems biology and offers a wide range of courses in bioinformatics, systems biology, human health, microbiology and nutrigenomics. | nucleotide, sequence, amino acid, dna, microarray, molecule, immunology, protein function, protein structure, protein, post-translational, whole genome, sequence analysis |
has parent organization: Technical University of Denmark; Lyngby; Denmark is parent organization of: NESbase is parent organization of: O-GLYCBASE is parent organization of: OligoWiz is parent organization of: SignalP |
Danish National Research Foundation ; Danish Research Councils ; Danish Center for Scientific Computing ; Villum Kann Rasmussen Foundation ; Novo Nordisk Foundation ; European Union ; NIH |
nlx_12329 | http://www.cbs.dtu.dk/index.shtml | SCR_003590 | 2026-08-01 12:02:15 | 1434 | |||||||
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Rainbow Resource Report Resource Website 10+ mentions |
Rainbow (RRID:SCR_002724) | data analysis software, software application, software resource, sequence analysis software, data processing software | Software developed to provide an ultra-fast and memory-efficient solution to clustering and assembling short reads produced by RAD-seq. | software, tool, clustering, assembling, short, read, restriction, site, DNA, sequence, analysis, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: SourceForge |
PMID:22942077 DOI:10.1093/bioinformatics/bts482 |
Free, Freely available, Available for download | SCR_015992, OMICS_03722, biotools:rainbow | https://bio.tools/rainbow, https://sources.debian.org/src/bio-rainbow/ | SCR_002724 | RAD-seq: Restriction-site Associated DNA sequencing, Bio-rainbow, RAD-seq | 2026-08-01 12:02:12 | 41 | ||||||
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Gabi Primary Database Resource Report Resource Website 10+ mentions |
Gabi Primary Database (RRID:SCR_002755) | GABI | data analysis service, data or information resource, data repository, storage service resource, database, service resource, production service resource, analysis service resource |
Database that collects, integrates and links all relevant primary information from the GABI plant genome research projects and makes them accessible via internet. Its purpose is to support plant genome research in Germany, to yield information about commercial important plant genomes, and to establish a scientific network within plant genomic research. GreenCards is the main interface for text based retrieval of sequence, SNP, mapping data etc. Sharing and interchange of data among collaborating research groups, industry and the patent- and licensing agency are facilitated. * GreenCards: Text based search for sequence, mapping, SNP data etc. * Maps: Visualization of genetic or physical maps. * BLAST: Secure BLAST search against different public databases or non-public sequence data stored in GabiPD. * Proteomics: View interactive 2D-gels and view or download information for identified protein spots. Registered users can submit data via secure file upload. |
molecular plant physiology, plant genome, genome, blast, sequence, snp, mapping, proteomics, image collection | has parent organization: Max Planck Institute of Molecular Plant Physiology; Golm; Germany | German Resource Center for Genome Research RZPD GmbH ; Max Planck Society ; BMBF 0312272; BMBF 0313112; BMBF 0315046 |
PMID:18812395 | Free, Freely available | nif-0000-02866, r3d100012432 | http://gabi.rzpd.de/, https://doi.org/10.17616/R3QB61 | SCR_002755 | GabiPD | 2026-08-01 12:02:13 | 13 | ||||
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StreamingTrim Resource Report Resource Website 1+ mentions |
StreamingTrim (RRID:SCR_002922) | software resource | A DNA reads trimming software, written in Java, with which researchers are able to analyse the quality of DNA sequences in fastq files and to search for low-quality zones in a very conservative way. | standalone software, java, 16s rrna, sequence | is listed by: OMICtools | PMID:24128146 | Free, Available for download, Freely available | OMICS_05196 | SCR_002922 | 2026-08-01 12:02:21 | 8 | ||||||||
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Sal-Site Resource Report Resource Website 50+ mentions |
Sal-Site (RRID:SCR_002850) | Sal-Site | data analysis service, data or information resource, portal, database, service resource, topical portal, production service resource, analysis service resource, image collection, organism-related portal | Portal that supports Ambystoma-related research and educational efforts. It is composed of several resources: Salamander Genome Project, Ambystoma EST Database, Ambystoma Gene Collection, Ambystoma Map and Marker Collection, Ambystoma Genetic Stock Center, and Ambystoma Research Coordination Network. | gene, genomic, expressed sequence tag, blast, model organism, genome, salamander, animal model, genetic map, genetic marker, gene expression, limb regeneration, microarray, quantitative-pcr, rna-seq, nanostring, husbandry, embryo, limb, mutant, strain, neural, olfaction, phentotype, regeneration, renal, retina, sequence, vision, human, chicken, xenopus tropicalis, FASEB list | has parent organization: University of Kentucky; Kentucky; USA | NSF OB0242833; NSF DBI0443496; NCRR R24 RR016344; NIH Office of the Director R24 OD010435 |
PMID:16359543 | Free, Freely available | nif-0000-25309 | https://orip.nih.gov/comparative-medicine/programs/vertebrate-models | SCR_002850 | Ambystoma Resources for Model Amphibians Database | 2026-08-01 12:01:56 | 92 | ||||
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Computational Biology Center Resource Report Resource Website 50+ mentions |
Computational Biology Center (RRID:SCR_002877) | data or information resource, portal, topical portal, disease-related portal, training resource | Computational biology research at Memorial Sloan-Kettering Cancer Center (MSKCC) pursues computational biology research projects and the development of bioinformatics resources in the areas of: sequence-structure analysis; gene regulation; molecular pathways and networks, and diagnostic and prognostic indicators. The mission of cBio is to move the theoretical methods and genome-scale data resources of computational biology into everyday laboratory practice and use, and is reflected in the organization of cBio into research and service components ~ the intention being that new computational methods created through the process of scientific inquiry should be generalized and supported as open-source and shared community resources. Faculty from cBio participate in graduate training provided through the following graduate programs: * Gerstner Sloan-Kettering Graduate School of Biomedical Sciences * Graduate Training Program in Computational Biology and Medicine Integral to much of the research and service work performed by cBio is the creation and use of software tools and data resources. The tools that we have created and utilize provide evidence of our involvement in the following areas: * Cancer Genomics * Data Repositories * iPhone & iPod Touch * microRNAs * Pathways * Protein Function * Text Analysis * Transcription Profiling | drug, evolution, experiment, gene, algorithm, bioinformatics, biology, cancer, clinical, computational, diagnostic, genome, human, initiation, kinetics, laboratory, leukemia, ligand, metastasis, microrna, mirna, model, molecular, network, pathway, phenotype, prognostic, progression, protein, regulation, research, resistance, rna, sequence, stem cell, structure, t cell, therapy, treatment, tumor | is parent organization of: TMBETA-GENOME- Annotation of Beta-Barrel Membrane Proteins in Genomic Sequences | Free, Freely available | nif-0000-25560 | SCR_002877 | cBio | 2026-08-01 12:02:14 | 70 | ||||||||
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Tuschl Laboratory: RNA Molecular Biology Resource Report Resource Website 1+ mentions |
Tuschl Laboratory: RNA Molecular Biology (RRID:SCR_002866) | portal, organization portal, data or information resource, laboratory portal | RNA is not only a carrier of genetic information, but also a catalyst and a guide for sequence-specific recognition and processing of other RNA molecules. This lab investigates the regulatory mechanisms of RNA interference, RNA-mediated translational control, and nuclear pre-mRNA splicing. Classical and combinatorial biochemical techniques are used to analyze the function of the RNA- and protein-components involved in those processes. | genetics, biochemical, biology, catalyst, mechanism, mirna, molecule, process., protein, regulation, rna, sequence, sirna, technique | has parent organization: Rockefeller University; New York; USA | Free, Freely available | nif-0000-25546 | http://www.rockefeller.edu/labheads/tuschl/sirna.html | SCR_002866 | Tuschl Lbaoratory | 2026-08-01 12:01:57 | 5 |
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If you have an account on ASWG then you can log in from here to get additional features in ASWG such as Collections, Saved Searches, and managing Resources.
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If you are logged into ASWG 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.