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http://supfam.org/SUPERFAMILY/

SUPERFAMILY is a database of structural and functional protein annotations for all completely sequenced organisms. The SUPERFAMILY annotation is based on a collection of hidden Markov models, which represent structural protein domains at the SCOP superfamily level. A superfamily groups together domains which have an evolutionary relationship. The annotation is produced by scanning protein sequences from over 1,700 completely sequenced genomes against the hidden Markov models.

Proper citation: SUPERFAMILY (RRID:SCR_007952) Copy   

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http://www.chibi.ubc.ca/Gemma

Resource for reuse, sharing and meta-analysis of expression profiling data. Database and set of tools for meta analysis, reuse and sharing of genomics data. Targeted at analysis of gene expression profiles. Users can search, access and visualize coexpression and differential expression results.

Proper citation: Gemma (RRID:SCR_008007) Copy   

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http://stitch.embl.de

Database to explore known and predicted interactions of chemicals and proteins. It integrates information about interactions from metabolic pathways, crystal structures, binding experiments and drug-target relationships. Inferred information from phenotypic effects, text mining and chemical structure similarity is used to predict relations between chemicals. STITCH further allows exploring the network of chemical relations, also in the context of associated binding proteins. Each proposed interaction can be traced back to the original data sources. The database contains interaction information for over 68,000 different chemicals, including 2200 drugs, and connects them to 1.5 million genes across 373 genomes and their interactions contained in the STRING database.

Proper citation: Search Tool for Interactions of Chemicals (RRID:SCR_007947) Copy   

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http://splicenest.molgen.mpg.de/

A web based graphical tool for exploring gene structure of the human genome, including alternative splicing. It is based on a mapping of the EST consensus sequences (contigs) from GeneNest to the complete human genome. SpliceNest is integrated with GeneNest and the SYSTERS protein sequence cluster set in one framework, permitting an overall exploration of the whole sequence space covering protein, mRNA and EST sequences, as well as genomic DNA. Users can search for alignments by browsing, utilizing the graphical chromosome display feature, or performing a cluster, keyword or BLAST search.

Proper citation: spliceNest (RRID:SCR_007946) Copy   

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http://www.sbg.bio.ic.ac.uk/~ino/

A database containing compound microsatellite-SNP markers in human, dog, mouse, rat and chicken. SNPSTRs are a relatively new type of compound genetic marker which combines a STR marker with one or more tightly linked SNPs. This combination of co-inherited markers evolving at different rates may offer the possibility of gaining better resolved insights into population genetic processes compared to when these different marker types are used separately. SNPSTRs were first described by Mountain et al (2002) who developed experimental protocols for autosomal SNPSTRs which contain a SNP and a microsatellite within 500 base pairs apart. microsatellite-SNP, dog microsatellite-SNP, mouse microsatellite-SNP, rat microsatellite-SNP, chicken microsatellite-SNP

Proper citation: SNPSTR (RRID:SCR_007945) Copy   

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http://www-snorna.biotoul.fr/

This is a database of human C/D box and H/ACA modification guide RNAs. Information on a particular snoRNA can be accessed by three ways: 1- On the Search page, just type the name of the snoRNA (for example ACA17) in the Id window. 2- The Find guide RNA contains the sequences of the human ribosomal rRNAs 28S, 18S and 5.8S, and of the snRNAs U1, U2, U4, U5 and U6, with the positions of modified (2''O-ribose methylated or pseudo-uridinylated) nucleotides, and the identity of the corresponding modification guide RNAs. You can click on the name of the relevant snoRNA. 3- By utilizing the link to the UCSC Human Genome Browser.

Proper citation: snoRNABase- a comprehensive database of human H/ACA and C/D box snoRNAs. (RRID:SCR_007939) Copy   

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https://omictools.com/sno-scarnabase-tool

A curated database for small nucleolar RNAs and small cajal body-specific RNAs. It presents sno/scaRNA-associated genetic and functional data and provides access to several other database sources via web-accessible search interfaces. Consisting of 1979 sno/scaRNA records obtained from 85 organisms, sno/scaRNAbase is a combination of systematic literature curation and annotation effort. small nucleolar RNA, small cajal body-specific RNA

Proper citation: Sno/scaRNAbase (RRID:SCR_007938) Copy   

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http://www.compbio.dundee.ac.uk/SNAPPI/downloads.jsp

An object-oriented database of domain-domain interactions observed in structural data. SNAPPI-DB is a useful resource for any analysis of structures but has been opitmised for analysis on domain-domain interactions and domain-ligand interactions. The database has already been employed for 3 studies on the properties of domain-domain interactions and is currently being employed to train a protein-protein interaction predictor and a functional residue predictor. SNAPPI-DB has several features which are not available in other databases, including links to the MSD, speed, being object oriented, storage of multiple domain definitions, and storage of Protein Quaternary Structures (PQS).

Proper citation: SNAPPI (RRID:SCR_007937) Copy   

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http://www-deletion.stanford.edu/YDPM/YDPM_index.html

This database contains different yeast strains searchable by ORF and gene name, and serves to support the Yeast Deletion and the Mitochondrial Proteomics Project. The database is hyperlinked with other public databases. The project aims to increase the understanding of mitochondrial function and biogenesis in the context of the cell. In the Deletion Project, strains from the deletion collection were monitored under 9 different media conditions selected for the study of mitochondrial function. 5791 heterozygous diploid and 4706 homozygous diploid deletion strains were monitored in parallel using molecular barcodes on fermentable (YPD, YPDGE) and non-fermentable substrates (YPG, YPE, YPL). The YDPM database contains both the raw data and growth rates calculated for each strain in each media condition. Strains can be searched by ORF or Gene name to access growth measurements and data plots for each strain. Category: Genomics Databases (non-vertebrate) Subcategory: Fungal genome databases Category: Organelle databases Subcategory: Mitochondrial genes and proteins

Proper citation: YDPM - Yeast Deletion Project (RRID:SCR_007977) Copy   

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http://alk.ibms.sinica.edu.tw

A database containing predicted viral miRNA candidate hairpins. Users may query the putative miRNA hairpins of a specific viral species by the hierarchical menu or by search function using the GenBank Identifier or RefSeq accession number. In addition, users can also search for the putative target genes of a particular viral miRNA hairpins by a RNAhybrid service link. We have previously identified human intronic microRNA as well as zebrafish microRNA. The microRNA hairpin discovery pipeline was also applied to discover viral encoded microRNAs. All viral genomes were obtain from NCBI. The classification of virus is based on the taxonomy table of NCBI (Jun, 2006). Totally, the genomes of 2266 viruses were analyzed. The 3’-UTR regions of human, mouse, rat, zebrafish, arabidopsis and rice genes are available for search.

Proper citation: Vir-Mir (RRID:SCR_007971) Copy   

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http://ipu.ac.in/usbt/UgMicroSatdb.htm

This is a database of microsatellite sequences (short tandem repeats useful in gene comparison and kinship studies) present in 80 genomes. Users can search the database by microsatellite type, repeat unit length (mono- to hexa-nucleotide), repeat number, microsatellite length and repeat sequence class. They can also search by specifying EST, cDNA, CDS identity or by using Gene Index, GenBank, UniGene IDs. Microsatellites, also known as simple sequence repeats (SSRs) or simple tandem repeats (STRs), have extensively been exploited as molecular markers for diverse applications including genome characterization and mapping. Recently, their role in gene regulation and genome evolution has also been discussed widely. We have developed UgMicroSatdb (Unigene MicroSatellite database), a web based relational database of microsatellites present in unigene sequences covering 80 genomes. UgMicroSatdb allows microsatellite search using multiple parameters like microsatellite type simple (perfect) and compound (perfect and imperfect), repeat unit length (mono- to hexa-nucleotide), repeat number, microsatellite length and repeat sequence class. Microsatellites can also be retrieved by specifying EST, cDNA, CDS identity or by using Gene Index, GenBank, UniGene IDs. The database also provides information about trinucleotide repeats encoding various amino acids. Such codon repeats can be searched by specifying characteristics of coded amino acids like charge (basic, acidic or neutral), polarity (polar or non-polar) and their hydrophobic or hydrophilic nature. The nucleotide sequences of the target UniGenes are also provided to facilitate primer designing for PCR amplification of any desired microsatellite.

Proper citation: Unigene MicroSatellite database (RRID:SCR_007968) Copy   

•   Source: SciCrunch Registry

http://topdb.enzim.hu

Collection of transmembrane protein datasets containing experimentally derived topology information from the literature and from public databases. Web interface of TOPDB includes tools for searching, relational querying and data browsing, visualisation tools for topology data.

Proper citation: Topology Data Bank of Transmembrane Proteins (RRID:SCR_007964) Copy   

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http://www.tassdb.info/

TassDB stores extensive data about alternative splice events at GYNGYN donors and NAGNAG acceptors. Currently, 114,554 tandem splice sites of eight species are contained in the database, 5,209 of which have EST/mRNA evidence for alternative splicing. Users can search by Transcript Accession Number and Gene Symbol, SQL Query, and Tandem Donor/Tandem Acceptor pairs.

Proper citation: TAndem Splice Site DataBase (RRID:SCR_007961) Copy   

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http://targetdb.pdb.org/

TargetDB, a target registration database, provides information on the experimental progress and status of targets selected for structure determination. Search sequences from the PSI Structural Genomics Centers and other Structural Genomics projects.For more information about how these proteins were cloned, expressed, purified, or other experimental protocols please go to the Protein expression, purification, and crystallization DataBase.

Proper citation: TargetDB: Structural Genomics Target Search (RRID:SCR_007960) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.ca/links_directory/

Database of curated links to molecular resources, tools and databases selected on the basis of recommendations from bioinformatics experts in the field. This resource relies on input from its community of bioinformatics users for suggestions. Starting in 2003, it has also started listing all links contained in the NAR Webserver issue. The different types of information available in this portal: * Computer Related: This category contains links to resources relating to programming languages often used in bioinformatics. Other tools of the trade, such as web development and database resources, are also included here. * Sequence Comparison: Tools and resources for the comparison of sequences including sequence similarity searching, alignment tools, and general comparative genomics resources. * DNA: This category contains links to useful resources for DNA sequence analyses such as tools for comparative sequence analysis and sequence assembly. Links to programs for sequence manipulation, primer design, and sequence retrieval and submission are also listed here. * Education: Links to information about the techniques, materials, people, places, and events of the greater bioinformatics community. Included are current news headlines, literature sources, educational material and links to bioinformatics courses and workshops. * Expression: Links to tools for predicting the expression, alternative splicing, and regulation of a gene sequence are found here. This section also contains links to databases, methods, and analysis tools for protein expression, SAGE, EST, and microarray data. * Human Genome: This section contains links to draft annotations of the human genome in addition to resources for sequence polymorphisms and genomics. Also included are links related to ethical discussions surrounding the study of the human genome. * Literature: Links to resources related to published literature, including tools to search for articles and through literature abstracts. Additional text mining resources, open access resources, and literature goldmines are also listed. * Model Organisms: Included in this category are links to resources for various model organisms ranging from mammals to microbes. These include databases and tools for genome scale analyses. * Other Molecules: Bioinformatics tools related to molecules other than DNA, RNA, and protein. This category will include resources for the bioinformatics of small molecules as well as for other biopolymers including carbohydrates and metabolites. * Protein: This category contains links to useful resources for protein sequence and structure analyses. Resources for phylogenetic analyses, prediction of protein features, and analyses of interactions are also found here. * RNA: Resources include links to sequence retrieval programs, structure prediction and visualization tools, motif search programs, and information on various functional RNAs.

Proper citation: Bioinformatics Links Directory (RRID:SCR_008018) Copy   

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http://tbestdb.bcm.umontreal.ca/searches/welcome.php

The taxonomically broad EST database TBestDB serves as a repository for EST data from a wide range of eukaryotes, many of which have previously not been thoroughly investigated. Users can search by annotated name, EC#, and view datasets that contain classification hierarchies for pathways, for reactions (the enzyme nomenclature system), for compounds, and for genes. Most of the data contained in TBestDB has been generated by the labs of the Protist EST Program located in six universities across Canada.

Proper citation: Taxonomically Broad EST Database (RRID:SCR_007962) Copy   

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http://systomonas.tu-bs.de/

SYSTOMONAS is a comprehensive database of molecular networks in Pseudomonas focusing on Pseudomonas aeruginosa. We use a systems biology approach to get a deeper understanding of all cellular processes of P. aeruginosa during infection. Our long term goal is the development of a dynamic model simulating P. aeruginosa during infection. The basis for such an approach is SYSTOMONAS, a comprehensive database that includes systems data from all levels of analysis as microarray and proteomics data, metabolite measurements, sequence data, gene-regulatory networks and enzyme data. Therefore, we started with metabolomics analysis and extended to transcriptomics, genomics, and proteomics aspects. Along with the wet lab results additional data is stored, which is extracted from literature or derived from other external databases. Major sources of SYSTOMONAS are KEGG, PRODORIC, BRENDA (see section ''Sources''), which are partly stored via the data warehouse system and partly dynamically connected via SOAP, a platform-independent data transfer protocol. Comparing a Pseudomonas protein of interest with other well-characterized proteins may deliver useful insights into the evolution, distribution, and species specific function. Therefore, we searched for all deduced proteins of the SYSTOMONAS database for orthologous proteins in other Pseudomonas species to obtain orthologous protein clusters. Pseudomonas aeruginosa, systems biology, transcriptomics, genomics, proteomics

Proper citation: SYSTOMONAS: SYSTems biology of pseudOMONAS (RRID:SCR_007958) Copy   

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1669717/

This is a dataset of clinical HIV sequences, including a method of decoding the evolutionary pathways by which HIV evolves drug resistance. "Fitness landscape" describing how HIV proteins can evolve, is shown as a kinetic network. Drug resistance is a major problem in the treatment of AIDS, due to the very high mutation rate of human immunodeficiency virus (HIV) and subsequent rapid development of resistance to new drugs. Identification of mutations associated with drug resistance is critical for both individualized treatment selection and new drug design. We have performed an automated mutation analysis of HIV Type 1 (HIV-1) protease and reverse transcriptase (RT) from approximately 50,000 AIDS patient plasma samples sequenced by Specialty Laboratories Inc. from 1999 to mid-2002. This dataset provides a nearly complete mutagenesis of HIV protease and enables the calculation of statistically significant Ka/Ks values for each individual amino acid mutation in protease and RT. Positive selection (i.e., Ka/Ks>1 indicating increased reproductive fitness) detected 19 of 23 known drug-resistant mutation positions in protease and 20 of 34 such positions in RT. We also discovered 163 new amino acid mutations in HIV protease and RT that are strong candidates for drug resistance or fitness. Our results match available independent data on protease mutations associated with specific drug treatments and mutations with positive reproductive fitness, with high statistical significance (the P values for the observed matches to occur by random chance are 1e-5.2 and 1e-16.6, respectively). Our data indicate that positive selection mapping is an analysis that can yield powerful insights from high-throughput sequencing of rapidly mutating pathogens. This database has been made possible by the generous contribution of HIV sequence chromatograms by Specialty Laboratories, Inc.

Proper citation: The HIV Positive Selection Mutation Database (RRID:SCR_007957) Copy   

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http://smartdb.bioinf.med.uni-goettingen.de/

It collects information about scaffold/matrix attached regions and the nuclear matrix proteins that are supposed be involved in the interaction of these elements with the nuclear matrix. It covers the whole range from yeast to human. The SMAR table gives information on individual sequence elements of experimentally proven matrix binding activity. In release 2.3 it contains 500 entries. The sequences therein can be assigned to more than 150 genes from eukaryotic species ranging from yeast to human. The SMARbinder table contains 96 entries (release 2.3), but this figure does not reflect the number of independent S/MAR binding proteins. First of all, homologous factors from different species such as human and mouse SATB1 are given in different entries since they may differ in some aspects. Moreover, products of distinct but very similar genes or alternative splice products are included as separate entries. In some cases a more general term defining a S/MAR-binding activity may appear as one entry eventhough it might be composed of two or more subunits. The SMARbinder table will only contain those proteins of nuclear localization for which an interaction with a well defined S/MAR has been shown. Besides that the SMARbinder table will also include proteins that are proven components of the the salt-resitent (LIS-resistent) nuclear matrix. Gene entries, besides of giving the gene name in a long and a short (abbreviated) denomination, collect all links to individual S/MARs given in S/MARt DB and/or provide pointers to "S/MARbinders". The entries also contain links to transcription factor binding sites listed in TRANSFAC and give a link to the corresponding TRRD entry describing the regulatory features of the gene on different hierarchical levels.

Proper citation: S/MARt DB (RRID:SCR_007910) Copy   

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http://pubanatomy.org

An integrated exploration of biomedical literature and data. An anatomy viewer can be accessed and searches of PubMed literature are visualized as to the anatomical regions that they effect. PubAnatomy takes advantage of the 25-micron voxel level mouse brain structure annotation generated by the Allen Brain Institute and integrates Allen Brain Atlas gene expression data, relationships between brain regions and diseases for more efficient exploration of Medline database and gene expression data.

Proper citation: PubAnatomy (RRID:SCR_007999) Copy   

•   Source: SciCrunch Registry