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http://omabrowser.org/cgi-bin/gateway.pl

A database that identifies orthologs among publicly available, complete genomes. It offers a comprehensive search and numerous display options for 4.7 million proteins from 1000 species. The main features are the orthologous relationships which can be accessed either group-wise, where all group members are orthologous to all other group members, or on a sequence-centric basis, where for a given protein all its orthologs in all other species are displayed.

Proper citation: OMA Browser (RRID:SCR_011978) Copy   

•   Source: SciCrunch Registry

http://biosciencedbc.jp/

The National Bioscience Database Center (NBDC) intends to integrate all databases for life sciences in Japan, by linking each database with expediency to maximize convenience and make the entire system more user-friendly. We aim to focus our attention on the needs of the users of these databases who have all too often been neglected in the past, rather than the needs of the people tasked with the creation of databases. It is important to note that we will continue to honor the independent integrity of each database that will contribute to our endeavor, as we are fully aware that each database was originally crafted for specific purposes and divergent goals. Services: * Database Catalog - A catalog of life science related databases constructed in Japan that are also available in English. Information such as URL, status of the database site (active vs. inactive), database provider, type of data and subjects of the study are contained for each database record. * Life Science Database Cross Search - A service for simultaneous searching across scattered life-science databases, ranging from molecular data to patents and literature. * Life Science Database Archive - maintains and stores the datasets generated by life scientists in Japan in a long-term and stable state as national public goods. The Archive makes it easier for many people to search datasets by metadata in a unified format, and to access and download the datasets with clear terms of use. * Taxonomy Icon - A collection of icons (illustrations) of biological species that is free to use and distribute. There are more than 200 icons of various species including Bacteria, Fungi, Protista, Plantae and Animalia. * GenLibi (Gene Linker to bibliography) - an integrated database of human, mouse and rat genes that includes automatically integrated gene, protein, polymorphism, pathway, phenotype, ortholog/protein sequence information, and manually curated gene function and gene-related or co-occurred Disease/Phenotype and bibliography information. * Allie - A search service for abbreviations and long forms utilized in life sciences. It provides a solution to the issue that many abbreviations are used in the literature, and polysemous or synonymous abbreviations appear frequently, making it difficult to read and understand scientific papers that are not relevant to the reader's expertise. * inMeXes - A search service for English expressions (multiple words) that appear no less than 10 times in PubMed/MEDLINE titles or abstracts. In addition, you can easily access the sentences where the expression was used or other related information by clicking one of the search results. * HOWDY - (Human Organized Whole genome Database) is a database system for retrieving human genome information from 14 public databases by using official symbols and aliases. The information is daily updated by extracting data automatically from the genetic databases and shown with all data having the identifiers in common and linking to one another. * MDeR (the MetaData Element Repository in life sciences) - a web-based tool designed to let you search, compare and view Data Elements. MDeR is based on the ISO/IEC 11179 Part3 (Registry metamodel and basic attributes). * Human Genome Variation Database - A database for accumulating all kinds of human genome variations detected by various experimental techniques. * MEDALS - A portal site that provides information about databases, analysis tools, and the relevant projects, that were conducted with the financial support from the Ministry of Economy, Trade and Industry of Japan.

Proper citation: NBDC - National Bioscience Database Center (RRID:SCR_000814) Copy   

•   Source: SciCrunch Registry

http://www.duke.edu/web/gpcr-assay/index.html

Describes data from and access to permanent cell lines containing beta-arrestin fluorescent protein biosensors. This assay Bank provides plasmids, cells lines, and resulting data to the NIDA/NIH funded research community in order to better understand and combat addiction.

Proper citation: Addiction Research GPCR Assay Bank (RRID:SCR_002895) Copy   

•   Source: SciCrunch Registry

http://www.jgi.doe.gov/

Institute to advance genomics in support of the DOE missions related to clean energy generation and environmental characterization and cleanup. Supported by the DOE Office of Science, the DOE JGI unites the expertise at Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, and the HudsonAlpha Institute for Biotechnology. The facility provides integrated high-throughput sequencing and computational analysis that enable systems-based scientific approaches to these challenges.

Proper citation: DOE Joint Genome Institute (RRID:SCR_003045) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov/guide/sitemap/

The National Center for Biotechnology Information''s listing of resources. Sort by alphabetical character, Databases, Downloads, Submissions, Tools and How-To; or by Topic: Chemicals & Bioassays; Data & Software; DNA & RNA; Domains & Structures; Genes & Expression; Genetics & Medicine; Genomes & Maps; Homology; Literature; Proteins; Sequence Analysis; Taxonomy; Training & Tutorials; Variation.

Proper citation: NCBI Resource List (RRID:SCR_005628) Copy   

•   Source: SciCrunch Registry

http://www.exactantigen.com

Database of hundreds of thousands of products submitted by reagent provider partners, and millions of webpages selected from reagent suppliers. All are organized according to genes, species, and reagent types (antibodies, recombinant proteins, ELISA, siRNA, cDNA clones, biochemicals, and others).

Proper citation: Labome (RRID:SCR_007384) Copy   

•   Source: SciCrunch Registry

http://noble.gs.washington.edu/proj/sdp-svm/

A statistical framework for genomic data fusion is a computational framework for integrating and drawing inferences from a collection of genome-wide measurements. Each dataset is represented via a kernel function, which defines generalized similarity relationships between pairs of entities, such as genes or proteins. The kernel representation is both flexible and efficient, and can be applied to many different types of data. Furthermore, kernel functions derived from different types of data can be combined in a straightforward fashion. Recent advances in the theory of kernel methods have provided efficient algorithms to perform such combinations in a way that minimizes a statistical loss function. These methods exploit semidefinite programming techniques to reduce the problem of finding optimizing kernel combinations to a convex optimization problem. Computational experiments performed using yeast genome-wide datasets, including amino acid sequences, hydropathy profiles, gene expression data and known protein-protein interactions, demonstrate the utility of this approach. A statistical learning algorithm trained from all of these data to recognize particular classes of proteins--membrane proteins and ribosomal proteins--performs significantly better than the same algorithm trained on any single type of data. Matlab code to center a kernel matrix and Matlab code for normalization are available.

Proper citation: A statistical framework for genomic data fusion (RRID:SCR_007219) Copy   

•   Source: SciCrunch Registry

http://wiki.c2b2.columbia.edu/califanolab/index.php/BCellInteractome.htm

A network of protein-protein, protein-DNA and modulatory interactions in human B cells. The network contains known interactions (reported in public databases) and predicted interactions by a Bayesian evidence integration framework which integrates a variety of generic and context specific experimental clues about protein-protein and protein-DNA interactions with inferences from different reverse engineering algorithms, such as GeneWays and ARACNE. Modulatory interactions are predicted by the MINDY, an algorithm for the prediction of modulators of transcriptional interactions (please refer to the publication section for more information). The BCI can be downloaded as one tab delimited file containing the complete network (BCI.txt) with each type of interaction explicitly defined.

Proper citation: B Cell Interactome (RRID:SCR_008655) Copy   

•   Source: SciCrunch Registry

http://www.ch.embnet.org/software/COILS_form.html

COILS is a program that compares a sequence to a database of known parallel two-stranded coiled-coils and derives a similarity score. By comparing this score to the distribution of scores in globular and coiled-coil proteins, the program then calculates the probability that the sequence will adopt a coiled-coil conformation.

Proper citation: COILS: Prediction of Coiled Coil Regions in Proteins (RRID:SCR_008440) Copy   

•   Source: SciCrunch Registry

http://specimencentral.com/

World's open biospecimen research database where biobanks and biomedical researchers meet to exchange human biospecimen needs and supply: whole blood, serum, plasma, solid tissue samples and more. The connection is accelerated so researchers save valuable time and money and tissue banks utilize inventory. The pace of specimen procurement remains unacceptably slow to the biomedical research community. Specimen Central is the foremost global resource to aid biomedical researchers in expediting their search for high quality human biospecimens, tissues, samples and specimens. They facilitate your search for blood, whole blood, buccal swab, DNA, RNA, protein, cell lines, plasma, serum, RBC, white cells, buffy coat, fluid, marrow, urine, stem cells, and solid tissue such as tumor, tumor and biopsy materials spanning all manner of common and rare pathologies and indications including Alzheimer's, basal cell carcinoma, bladder cancer, bone cancer, brain cancer, breast cancer, cerebrospinal fluid, amniotic fluid, colorectal cancer, colon cancer, hodgkins and non-hodgkins lymphoma, kidney/renal cancer, leukemia, liver cancer, lung cancer, melanoma, multiple sclerosis, myeloma neuroblastoma, neurodegenerative diseases, ovarian cancer, pancreatic cancer, prostate cancer, urinary cancer. This includes adult and pediatric indications. Specimen Central users specify a number of variables in their Specimen Requests, including preparation, preservation and handling requirements such as cryo-preserved, FFPE (Formalin-fixed paraffin-embedded), formalin, frozen, refrigerated, OCT, snap frozen, paraffin block, fresh, prospective, autopsy or cadaveric, etc. Many users require clinically annotated date associated with their specimens, as well as documentation of IRB or ethics committee approval and informed consents. For Researchers Most specimen databases require researchers to waste time and effort entering lengthy registrations and search queries that yield poor results, if anything. Specimen Central solves this problem by having tissue banks search for you. From years to months, months to weeks, and weeks to days, Specimen Central seeks to reduce delays and costs in the research & development life cycle by expediting connections between demand and supply. For Biobanks The capital costs of maintaining a biobank infrastructure are substantial and growing. Biobanks use Specimen Central as a marketing tool to augment their business development efforts. By routinely checking Specimen Central's Specimen Requests, biobanks can uncover market demand for their inventories and develop new connections and revenue streams to defray costs. Specimen Central supplements - not displaces - the efforts of your sales representatives, agents, brokers and commercial partners.

Proper citation: SpecimenCentral.com (RRID:SCR_003536) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/Tools/

The European Bioinformatics Institute (EBI) toolbox area provides a comprehensive range of tools for the field of bioinformatics. These are subdivided into categories in the left menu for convenience. EBI has developed a large number of very useful bioinformatics tools. A few examples include: - Similarity & Homology - the BLAST or FASTA programs can be used to look for sequence similarity and infer homology. - Protein Functional Analysis - InterProScan can be used to search for motifs in your protein sequence. - Proteomic Services NEW - UniProt DAS server allows researchers to show their research results in the context of UniProtKB/Swiss-Prot annotation. - Sequence Analysis - ClustalW2 a sequence alignment tool. - Structural Analysis - MSDfold can be used to query your protein structure and compare it to those in the Protein Data Bank (PDB). - Web Services - provide programmatic access to the various databases and retrieval/analysis services EBI provides. - Tools Miscellaneous - Expression Profiler a set of tools for clustering, analysis and visualization of gene expression and other genomic data. Sponsors: This resource is sponsored by EBI.

Proper citation: Toolbox at the European Bioinformatics Institute (RRID:SCR_002872) Copy   

•   Source: SciCrunch Registry

http://lincsportal.ccs.miami.edu/dcic-portal/

Portal which provides a unified interface for searching LINCS dataset packages and reagents. Users can use the portal to access datasets, small molecules, cells, genes, proteins and peptides, and antibodies.

Proper citation: LINCS Data Portal (RRID:SCR_014939) Copy   

•   Source: SciCrunch Registry

https://github.com/TransDecoder/TransDecoder

Software tool to identify candidate coding regions within transcript sequences, such as those generated by de novo RNA-Seq transcript assembly using Trinity, or constructed based on RNA-Seq alignments to genome using Tophat and Cufflinks.Starts from FASTA or GFF file. Can scan and retain open reading frames (ORFs) for homology to known proteins by using BlastP or Pfam search and incorporate results into obtained selection. Predictions can then be visualized by using genome browser such as IGV.

Proper citation: TransDecoder (RRID:SCR_017647) Copy   

•   Source: SciCrunch Registry

https://www.synapse.org/#!Synapse:syn4921369/wiki/235539

Portal of PsychENCODE Consortium to study role of rare genetic variants involved in several psychiatric disorders. Database of regulatory elements, epigenetic modifications, RNA and protein in brain.

Proper citation: PsychENCODE Knowledge Portal (RRID:SCR_017500) Copy   

•   Source: SciCrunch Registry

http://gps.biocuckoo.org/

Software that detects kinase-specific phosphorylation sites. GPS provides a platform able to perform its prediction based on a group-based phosphorylation scoring algorithm. It allows users to query multiple protein sequences through a batch prediction mode.

Proper citation: GPS (RRID:SCR_016374) Copy   

•   Source: SciCrunch Registry

https://www.kbdna.com/

Commercial provider of antibodies, antigens and recombinant proteins from Braintree, Massachusetts . Biotechnology company which provides custom oligonucleotides synthesis service.

Proper citation: kbDNA Inc. (RRID:SCR_016570) Copy   

•   Source: SciCrunch Registry

http://drugdesigndata.org

Project portal's database of protein-ligand data sets provided by pharmaceutical partners that provide atomic details of drug mechanisms that will be used to improve computer-aided drug-design methods and thus accelerate drug discovery. The project aims to help companies release the high-quality data they have generated, which has incredible value to researchers working to improve methods of computer-aided drug discovery. Everyone stands to benefit from the ability to develop new medications more quickly and inexpensively. What computational chemists globally are trying to do is to make faster, more accurate, more predictive programs to speed up the process. Part of their mission is to engage the community in these challenges to test newly developed predictive algorithms.

Proper citation: Drug Design Data Resource (RRID:SCR_000497) Copy   

•   Source: SciCrunch Registry

http://gpcr.biocomp.unibo.it/esldb

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 22,2022. database of protein subcellular localization annotation for eukaryotic organisms. It contains experimental annotations derived from primary protein databases, homology based annotations and computational predictions.

Proper citation: eSLDB - eukaryotic Subcellular Localization database (RRID:SCR_000052) Copy   

•   Source: SciCrunch Registry

http://interolog.gersteinlab.org/

Interolog/Regulog quantitatively assess the degree to which interologs can be reliably transferred between species as a function of the sequence similarity of the corresponding interacting proteins.

Proper citation: Interolog/Regulog Database (RRID:SCR_000755) Copy   

•   Source: SciCrunch Registry

http://www.sanger.ac.uk/cgi-bin/teams/team30/arnie

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 1,2023. Database that integrates the extracellular protein interaction network generated in our lab using AVEXIS technology with spatiotemporal expression patterns for all genes in the network. The tool allows users to browse the network by clicking on individual proteins, or by specifying the spatiotemporal parameters. Clicking on connector lines will allow users to compare stage-matched expression patterns for genes encoding interacting proteins. Additionally, users can rapidly search for their genes in the network using the BLAST server provided.

Proper citation: ARNIE (RRID:SCR_000514) Copy   

•   Source: SciCrunch Registry