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http://bacillus.genome.jp/

This website provides a resource for the Bacillus subtilis genome. It provides a list of mutants, DNA array data, and search features against both the whole genome and coding sequences. It also contains Kegarrays and access to the KEGG Expression Database.

Proper citation: BSORF - Bacillus Subtilis Genome Database (RRID:SCR_013451) Copy   

•   Source: SciCrunch Registry

http://toxodb.org/toxo/

A genome and functional genomic database for the protozoan parasite Toxoplasma gondii. It incorporates the sequence and annotation of the T. gondii ME49 strain, as well as genome sequences for the GT1, VEG and RH (Chr Ia, Chr Ib) strains. Sequence information is integrated with various other genomic-scale data, including community annotation, ESTs, gene expression and proteomics data. Organisms * Toxoplasma gondii (ME49, RH, GT1, Veg strains) * Neospora caninum * environmental isolate sequences from numerous species Tools * BLAST: Identify Sequence Similarities * Sequence Retrieval: Retrieve Specific Sequences using IDs and coordinates * PubMed and Entrez: View the Latest Toxoplasma, Neospora Pubmed and Entrez Results * Genome Browser: View Sequences and Features in the genome browser * Ancillary Genome Browse: Access Additional info like Probeset data and Toxoplasma Array info

Proper citation: ApiDB ToxoDB (RRID:SCR_013453) Copy   

•   Source: SciCrunch Registry

http://www.domins.org/

DomIns is a web resource aimed at providing comprehensive information on domain insertions in proteins of known structure. We have followed the definition of protein domains as in the SCOP (Structural Classification of Proteins) database in order to identify insertions. We have considered only the major five classes (All-alpha, All-beta, alpha/beta, alpha+beta and Small Proteins), the fold and the superfamily level of SCOP hierarchy for identifying insertions. Apart from browsing insertions in whole PDB, we also provide an option to browse insertions in a pre-computed list of non-redundant PDB chains provided by PDB_Select with a sequence identity threshold of 90%.

Proper citation: DomIns: A Web Resource for Domain Insertions in Known Protein Structures (RRID:SCR_013417) Copy   

•   Source: SciCrunch Registry

http://knottin.cbs.cnrs.fr/

The KNOTTIN database provides standardized data on the knottin structural family (also referred to as the Inhibitor Cystine Knot (ICK) motif/family/fold). Knottins are intriguing miniproteins with strong potential in drug design. This knot is achieved when one disulfide bridge crosses the macrocycle formed by the two other disulfides and the interconnecting backbone.

Proper citation: KNOTTIN database (RRID:SCR_013263) Copy   

•   Source: SciCrunch Registry

http://www.h-invitational.jp/

H-Invitational Database (H-InvDB) is an integrated database of human genes and transcripts. By extensive analyses of all human transcripts, we provide curated annotations of human genes and transcripts that include gene structures, alternative splicing isoforms, non-coding functional RNAs, protein functions, functional domains, sub-cellular localizations, metabolic pathways, protein 3D structure, genetic polymorphisms (SNPs, indels and microsatellite repeats) , relation with diseases, gene expression profiling, and molecular evolutionary features , protein-protein interactions (PPIs) and gene families/groups. This database is produced by the Genome Information Integration Project (2005-) based upon the annotation technology established in the H-Invitational Project for annotation of human full-length cDNAs.

Proper citation: H-InvDB (RRID:SCR_013265) Copy   

•   Source: SciCrunch Registry

http://chloroplast.cbio.psu.edu/

The Chloroplast Genome Database contains annotated chloroplast/plastid genomes from the NCBI Organelle Genomes section at NCBI. Users can search for genes by their annotated names, conduct flexible BLAST searches, download protein and nucleotide sequences extracted from a selected chloroplast genome, and browse the putative protein families (tribes) created using TribeMCL.

Proper citation: Chloroplast Genome Database (RRID:SCR_013421) Copy   

•   Source: SciCrunch Registry

http://cutdb.burnham.org

The CutDB focuses on the annotation of individual proteolytic events, both actual and predicted. Its offers searchable lists of proteases, Merops code, substrate, and diseases from which users can specify their desired queries in order to obtain more specific information. CutDB is one of the first systematic efforts to build an easily accessible collection of documented proteolytic events for natural proteins in vivo or in vitro. A CutDB entry is defined by a unique combination of these three attributes: protease, protein substrate and cleavage site. Currently, CutDB integrates 3070 proteolytic events for 470 different proteases captured from public archives (such as MEROPS and HPRD) and publications. CutDB supports various types of data searches and displays, including clickable network diagrams. Most importantly, CutDB is a community annotation resource based on a Wikipedia approach, providing a convenient user interface to input new data online. A recent contribution of 568 proteolytic events by several experts in the field of matrix metallopeptidases suggests that this approach will significantly accelerate the development of CutDB content.

Proper citation: CutDB (RRID:SCR_013420) Copy   

•   Source: SciCrunch Registry

http://prodata.swmed.edu/malisam

MALISAM is a database of pairwise, structure-based alignments for structurally analogous motifs in proteins. Homology and analogy are two alternative scenarios to explain structural similarities among proteins. Homologs inherit similar features from their common ancestor, while analogs converge to similar structures due to a limited number of energetically favorable ways to pack secondary structural elements. Analogous pairs in this database are in three categories: a hybrid motif and a core motif, an interface motif and a core motif, an artificial protein and a natural protein. During evolution, a protein family usually preserves a common core while accumulating insertions and deletions in the periphery. A core motif is composed entirely of secondary structure elements belonging to the evolutionary core. A hybrid motif consists of both core elements and peripheral insertions that are not present in the majority of the family members. An interface motif uses secondary structural elements from two or more domains or subunits contacting along that interface.

Proper citation: MALISAM: Manual ALIgnments of Structurally Analogous Motifs (RRID:SCR_013380) Copy   

•   Source: SciCrunch Registry

http://www.pahdb.mcgill.ca

A database of centralized mutation data on the PAH gene. Searchable fields of the database available to users are: mutation name, polymorphic haplotype, population, geographic location, gene region, codon number, mutation type, substitution, phenotype, author's name and many more. The complete information provided for each mutation is regularly updated from both published data and personal communications.

Proper citation: Phenylalanine Hydroxylase Locus Knowledgebase (RRID:SCR_013381) Copy   

•   Source: SciCrunch Registry

http://srv00.recas.ba.infn.it/py_script/REDIdb/overview.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 19, 2016. A relational database in which all editing information such as substitutions, insertions and deletions occurring in a wide range of organisms is stored and maintained in ad hoc designed textual flat files. Individual genes of interest can be searched by appropriate query strings containing the gene name or the intracellular location or the molecular type (as tRNA, rRNA, intron) or the organism or a combination of the previous terms. Moreover, each record of the REDIdb database can be also retrieved according to its specific accession number (more help on how to perform a REDIdb search is available at the ?help? page). To make easier the browsing of each REDIdb entry and quicker the identification of editing sites, two alternative but complementary facilities have been provided either to graphically display genomic and cDNA sequences or to show the corresponding alignment. In both cases, all editing sites are highlighted in colour and their relative positions are shown by mousing over.

Proper citation: REDIdb- RNA Editing Database (RRID:SCR_013429) Copy   

•   Source: SciCrunch Registry

http://tcm.lifescience.ntu.edu.tw/index.html

TCMGeneDIT is a database system providing association information about traditional Chinese medicines (TCMs), genes, diseases, TCM effects and TCM ingredients automatically mined from vast amount of biomedical literature. Integrated protein-protein interaction and biological pathways information collected from public databases are also available. In addition, the transitive relationships among genes, TCMs and diseases could be inferred through the shared intermediates. Furthermore, TCMGeneDIT is useful in deducing possible synergistic or antagonistic contributions of the prescription components to the overall therapeutic effects. TCMGeneDIT is a unique database of various association information about TCMs. The database integrating TCMs with life sciences and biomedical studies would facilitate the modern clinical research and the understanding of therapeutic mechanisms of TCMs and gene regulations.

Proper citation: TCMGeneDIT (RRID:SCR_013396) Copy   

•   Source: SciCrunch Registry

http://www.francisella.org/

Francisella tularensis is a Gram-negative bacteria that causes the disease tularemia. The genus also includes the strains Francisella novicida and Francisella holarctica, both of which are important research organisms. The biology, genomes and virulence capabilities of these organism are under active investigation in research institutions throughout the world. Our goal for the francisella.org website is to foster communication and collaboration among the Francisella tularensis research community. rancisella tularensis is a Gram-negative bacteria that causes the disease tularemia. The genus also includes the strains Francisella novicida and Francisella holarctica, both of which are important research organisms. The biology, genomes and virulence capabilities of these organism are under active investigation in research institutions throughout the world. Our goal for the francisella.org website is to foster communication and collaboration among the Francisella tularensis research community. Please visit the following sections of the website for more details about the tools currently available and those to be available in the near future. News 04/17/2008 F. novicida transposon mutant orders are now being handled by BEI Resources. 03/25/2008 New features have been added to the PSAT synteny analysis tool including a printer friendly version of the genomic neighborhood graphic, a text output of homologs in a region in spreadsheet format, and an option for displaying multiple alignments for a gene against a single comparison genome. 02/07/2008 Proteomics experimental data for F. novicida are now integrated into our genome browser. 02/05/2008 Updated genome annotations can now be submitted using the Panda tool. Your participation is encouraged. Please see the Panda page for more information. 02/04/2008 F. holarctica FTA is now available from Genbank (NC_009749) and has been added to our genome browser Tools Name Description Get surrounding sequence Given a gene, other genome feature, or genome coordinate, displays in FASTA format the surrounding sequence a specified number of nucleotides upstream and downstream Synteny Tool Analyze potential regions of local synteny between the Francisella genomes and any other published bacterial genome

Proper citation: Francisella tularensis Genome Research (RRID:SCR_013313) Copy   

•   Source: SciCrunch Registry

http://www.physionet.org/mimic2/index.shtml

MIMIC II (Multiparameter Intelligent Monitoring in Intensive Care) Database contains comprehensive clinical data from tens of thousands of Intensive Care Unit (ICU) patients. Data were collected between 2001 and 2008 from a variety of ICUs (medical, surgical, coronary care, and neonatal) in a single tertiary teaching hospital. The database contains clinical data from bedside workstations as well as hospital archives. The database also includes thousands of records of continuous high-resolution physiologic waveforms and minute-by-minute numeric time series (trends) of physiologic measurements.

Proper citation: MIMIC II (RRID:SCR_013237) Copy   

•   Source: SciCrunch Registry

http://www.kazusa.or.jp/huge/

The HUGE protein database has been created to publicize the Human cDNA project at the Kazusa DNA Research Institute. This project will sequence and analyze long (>4 kb) human cDNAs and establish methods by using the sequence data how to predict the primary structure of proteins of various biological activities. Currently, it focuses on the analysis of cDNA clones encoding particularly large proteins (>50 kDa). The HUGE protein database contains various types of information derived from the predicted primary structure data of newly identified human proteins. The HUGE protein database are expected to cover various sets of large human proteins of hitherto unidentified functions. They are likely to be involved in cellular structure/motility (such as cytoskeleton, membrane skeleton, and motor proteins), gene expression and nucleic acid metabolism, cell signaling/communication (such as cellular adhesion, signal transduction, channels, and receptors), and so on.

Proper citation: HUGE - Human Unidentified Gene-Encoded large proteins (RRID:SCR_013482) Copy   

•   Source: SciCrunch Registry

http://epgd.biosino.org/EPGD/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. EPGD isfocused on the paralogs and the duplication events in the evolution. It is gene-centered and organized by paralog family. The paralog families and paralogons can be searched by text or sequence, and are downloadable from the website in plain text files. The database will be very useful for both experimentalists and bioinformaticians for the study of duplication events or paralog families.

Proper citation: EPGD (RRID:SCR_013364) Copy   

•   Source: SciCrunch Registry

http://www.treefam.org

A database of phylogenetic trees of animal genes. It aims at developing a curated resource that gives reliable information about ortholog and paralog assignments, and evolutionary history of various gene families. TreeFam defines a gene family as a group of genes that evolved after the speciation of single-metazoan animals. It also tries to include outgroup genes like yeast (S. cerevisiae and S. pombe) and plant (A. thaliana) to reveal these distant members.TreeFam is also an ortholog database. Unlike other pairwise alignment based ones, TreeFam infers orthologs by means of gene trees. It fits a gene tree into the universal species tree and finds historical duplications, speciations and losses events. TreeFam uses this information to evaluate tree building, guide manual curation, and infer complex ortholog and paralog relations.The basic elements of TreeFam are gene families that can be divided into two parts: TreeFam-A and TreeFam-B families. TreeFam-B families are automatically created. They might contain errors given complex phylogenies. TreeFam-A families are manually curated from TreeFam-B ones. Family names and node names are assigned at the same time. The ultimate goal of TreeFam is to present a curated resource for all the families. phylogenetic tree, animal, vertebrate, invertebrate, gene, ortholog, paralog, evolutionary history, gene families, single-metazoan animals, outgroup genes like yeast (S. cerevisiae and S. pombe), plant (A. thaliana), historical duplications, speciations, losses, Human, Genome, comparative genomics

Proper citation: Tree families database (RRID:SCR_013401) Copy   

•   Source: SciCrunch Registry

http://viroligo.okstate.edu

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. A database of virus-specific oligonucloetides and their primers. It allows users to search based on virus name, PMID, VirOligoID, or taxonomy ID. The VirOligo database is part of an effort to provide methods suitable for assessing what viruses are present in samples. Such methods should faciliate studies of the spatial and temporal distribution of viruses and their diversity at any one time and place. To this end, researchers are also exploring Virus Signature Hybridization (ViSH) and Virus Signature Amplification (ViSA), microarray-based methods for hybridization and PCR amplification. The site employs Universal PCR techniques, a PCR that amplifies DNA fragments from more than one viral species, such as family- or genus-specific PCR.

Proper citation: VirOligo: Virus Oligonucleotide Database (RRID:SCR_013481) Copy   

•   Source: SciCrunch Registry

http://tubic.tju.edu.cn/greglist/

A database listing potential G-quadruplex regulated genes. G-rich DNA sequences can form G-quadruplexes, a four-stranded structure that is stabilized by planar arrays of four guanines associated with hydrogen bonds. Promoter G-quadruplexes have emerged as a new way to regulate gene transcription, such as in c-MYC expression. Further, G-quadruplex motifs are highly enriched in gene promoter regions in humans and other mammals. Greglist contains genes whose promoter regions have G-quadruplex motifs, and these genes are highly likely to be regulated by G-quadruplexes.

Proper citation: Greglist (RRID:SCR_013407) Copy   

•   Source: SciCrunch Registry

http://urgi.versailles.inra.fr/OryzaTagLine/

Oryza Tag Line consists in a searchable database developed under the Oracle management system integrating phenotypic data resulting from the evaluation of the Génoplante rice insertion line library. To display the sequence information (Flanking Sequence Tags) resulting from the molecular characterization of the mutagen insertion sites in the collection, Oryza Tag Line is linked to OryGenesDB a GGB-derived interface or FLAGDB++ a Java based interface. Aside from generic data ( production record and seed stock ) Oryza Tag Line includes textual and pictorial information resulting from the following observations: (i.) GUS/GFP expression assays conducted on the primary transformants (T0) and/or T1 progenies (ii.) morpho-physiological alterations detected during the growth of the T1 progenies either in phytotron -up to the 5-6 leaf stage- or under agronomical conditions in the field (collaboration with CIAT, Cali, Colombia).

Proper citation: Oryza Tag Line (RRID:SCR_013254) Copy   

•   Source: SciCrunch Registry

http://plantsp.sdsc.edu

A database of plant protein kinases and phosphatases as well as genomic information for these enzymes. Because protein kinases and phosphatases control so many processes in plants, and occur in networks that unite different cellular processes, a genome wide approach is needed to make significant advances in discovering the roles of these enzymes in the regulation of plant function.

Proper citation: PlantsP (RRID:SCR_013256) Copy   

•   Source: SciCrunch Registry