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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
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
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
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
http://jbirc.jbic.or.jp/h-dbas/
A specialized database for human alternative splicing (AS) based on H-Invitational full-length cDNAs. H-DBAS offers unique data and viewer for human Alternative Splicing (AS) analysis. It contains: * Genome-wide representative alternative splicing variants (RASVs) identified from following datasets * H-Inv full-length cDNAs (resource summary): H-Invitational cDNA dataset * H-Inv all transcripts (resource summary): Published human mRNA dataset * Mouse full-length cDNAs (resource summary): Mouse cDNA dataset * RASVs affecting protein functions such as protein motif, GO, subcellular localization signal and transmembrane domain * Conserved RASVs compared with mouse genome and the full-length cDNAs (H-Inv full-length cDNAs only)
Proper citation: Human Transcriptome Database for Alternative Splicing (RRID:SCR_013305) Copy
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
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
http://www.sanger.ac.uk/Projects/D_rerio/
Database of zebrafish genome.
Proper citation: Zebrafish Genome Project (RRID:SCR_013157) Copy
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
http://esharkgenome.imcb.a-star.edu.sg
To explore the elephant shark genome, we have conducted a survey-sequencing and comparative analysis of the elephant shark genome in collaboration with J. Craig Venter Institute. The elephant shark sequences generated under this project have been deposited at GenBank under the project accession number AAVX01000000. The sequences can also be searched using BLAST and retrieved here. Cartilaginous fishes (Chondrichthyes) represented by sharks, rays, skates and chimaeras, are phylogenetically the oldest group of living jawed vertebrates. They constitute an important group for our understanding of the origins of the complex developmental and physiological systems of jawed vertebrates. They are also an useful outgroup for bony vertebrates such as tetrapods and teleost fishes and help in identifying specialized features that have led to the evolution of diverse groups of bony vertebrates. The elephant shark (Callorhinchus milii), also known as the elephant fish and ghost shark, is a chimaera belonging to the Order Chimaeriformes and Family Callorhynchidae. It has the smallest genome among the known cartilaginous fish genomes. Thus, it was proposed as a model cartilaginous fish genome for whole-genome sequencing and comparative analysis (Venkatesh et al. 2005. Curr. Biol. 15: R82-R83). The following resources of the elephant shark are available for the scientific community: *Elephant Shark 1.4x assembly fasta sequences zipped 227 megabytes *Genomic DNA *~8x coverage BAC library (average insert size, ~150 kb) *cDNA libraries (under construction) *cDNA (dated 11 April 2008) with orthologs in 5 vertebrates (human, opossum, chicken, frog, fugu)
Proper citation: Elephant shark genome sequencing (RRID:SCR_013158) Copy
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
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
http://bioinformatics.charite.de/jail
JAIL is a database that classifies the interfaces between domain architectures and those between protein chains and between proteins and nucleic acids. Interacting proteins are difficult to crystallize and rarely present within the Protein Data Base. Nevertheless, it is essential to analyze the interacting parts of the proteins to understand the process of protein-protein docking. To overcome this problem we have built up the JAIL database. Since interacting domains exhibit similar structural features than proteins, all known interfaces between interacting domains of the SCOP database were extracted and classified in JAIL. Only a part of all protein structures are included in SCOP. Particularly, new PDB entries are not yet annotated. To overcome this problem additionally all interfaces between protein chains were calculated and included in the database. This type of interface also comprises the interacting parts of the assumed biological units. The last important type of interfaces provided here is composed of the interacting parts between proteins and nucleic acids. Overall the data set consists of about 180,000 interfaces. JAIL is a comfortable tool to browse through the interface library and to analyze single interfaces. However, more general questions require large-scale analysis. For this purpose, a detailed form enables the compiling of comprehensive non redundant data sets for download.
Proper citation: JAIL- Just Another Interface Library (RRID:SCR_013366) Copy
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
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
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
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
http://genome.imim.es/cgi-bin/u12db/u12db.cgi
This is a searchable database of U12-type introns. U12-type introns are spliced by the U12-dependent spliceosome and are present in the genomes of many higher eukaryotic lineages including plants, chordates and some invertebrates. Investigations into the evolution and mechanism of U12-depending splicing would be facilitated by access to a catalog of such introns. However, due to their relatively recent discovery and a systematic bias against recognition of non-canonical splice sites in general, the introns defined by U12-type splice sites are under-represented in genome annotations. Such under-representation compounds the already difficult problem of determining gene structures. It also impedes attempts to study these introns genome-wide or phylum-wide. The resource described here, the U12 Intron Database (U12DB), aims to catalog the U12 introns of completely sequenced eukaryotic genomes and associate orthologous introns with each other.Two pathways for the removal of eukaryotic spliceosomal introns exist: a major pathway that is dependent on the main U2 snRNA-containing spliceosome and a minor pathway that is dependent on the low abundance U12 snRNA-containing spliceosome. The two spliceosomes share only one snRNA, U5, but have many of the same protein components in common. They are distinguished mainly by the splice signal sequences in the pre-mRNA to which they bind. U12 consensus sequences for the donor site, RTATCCTTT, and branch point, TTCCTTRAY, are highly conserved and distinct from the U2 consensi. The two spliceosomes also differ in the order of spliceosomal assembly. U11 and U12 form a dimer which then recognizes the donor site and branch point simultaneously, whereas U1 and U2 recognize these sites independently before associating.Computational scans for U12 introns have previously been performed for human (Levine and Durbin, 2001) and Arabidopsis (Zhu and Brendel, 2003). Both scans used similar methodology, essentially predicting introns and confirming them using alignment to expressed sequence. We extended this approach to 20 genomes using spliced alignment of sequence flanking known introns or transcript-confirmed intron predictions to the genomic sequence of orthologous genes. Details can be found in forthcoming article in the Nucleic Acids Research database issue.
Proper citation: U12DB: The U12 Intron Database (RRID:SCR_013410) Copy
http://www.physionet.org/physiobank/database/umwdb/
Stride interval fluctuations were studied in ten young, healthy men. Participants had no history of any neuromuscular, respiratory or cardiovascular disorders, and were taking no medications. Mean age was 21.7 years (range: 18-29 years). Height was 1.77 ���� 0.08 meters (mean ���� S.D.) and weight was 71.8 ���� 10.7 kg. All subjects provided informed written consent. Subjects walked continuously on level ground around an obstacle free, long (either 225 or 400 meters), approximately oval path and the stride interval was measured using ultra-thin, force sensitive switches taped inside one shoe. For more details, please see the accompanying publication. Each subject was given an arbitrary id (si01, si02, ... si10). For each subject, there are six data files: normal (.norm), slow (.slow) and fast (.fast) walking for 1 hour each as well as walking in time to a metronome at normal (.metnrm), slow (.metslw) and fast (.metfst) paces.
Proper citation: Long-term Recordings of Gait Dynamics: Unconstrained and Metronomic Walking (RRID:SCR_013258) Copy
http://www.ncbi.nlm.nih.gov/Taxonomy/Utils/wprintgc.cgi
Genetic Codes is a summary resource of the taxonomy of each record and assignment of the correct genetic code for every entry in the GenBank database. GenBank format by historical convention displays mRNA sequences using the DNA alphabet. Thus, for the convenience of people reading GenBank records, the genetic code tables shown here use T instead of U. The following genetic codes are described here: The Standard Code The Vertebrate Mitochondrial Code The Yeast Mitochondrial Code The Mold, Protozoan, and Coelenterate Mitochondrial Code and the Mycoplasma/Spiroplasma Code The Invertebrate Mitochondrial Code The Ciliate, Dasycladacean and Hexamita Nuclear Code The Echinoderm and Flatworm Mitochondrial Code The Euplotid Nuclear Code The Bacterial, Archaeal and Plant Plastid Code The Alternative Yeast Nuclear Code The Ascidian Mitochondrial Code The Alternative Flatworm Mitochondrial Code Blepharisma Nuclear Code Chlorophycean Mitochondrial Code Trematode Mitochondrial Code Scenedesmus Obliquus Mitochondrial Code Thraustochytrium Mitochondrial Code
Proper citation: Genetic Codes (RRID:SCR_013092) Copy
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