We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
A database dedicated to the comparative genomics of Mollicutes. Usual tools required to explore genomes have been infered in MolliGen. They include various ways to search for genes or groups of genes and to access to a wide range of related data. General information describing whole genome properties are also available as well as graphical representations. The genomic sequences deposited in MolliGen as well as related annotation data are inferred from the corresponding GenBank entries. The genomes implemented in MolliGen are all publicly accessible from general databases. Additionaly, some unpublished genomes can be deposited in MolliGen.
The database has been developed to structurally and functionally annotate, and where possible predict, the phenotypic consequences of mutations in protein kinases implicated in cancer. The 518 human protein kinases identified in KinBase, are listed alphabetically to facilitate browsing, and each gene is labelled with tumour type(s) in which mutations have been found. The list can also be sorted by selective pressure - the ratio of non-synonymous:synonymous mutations compared to that expected by chance, and by ''rank'' - the probability of the mutated gene containing at least 1 driver mutation. Both these measures can be used to predict which kinases contain driver mutations, i.e. those that are causal of the cancer, rather than passenger mutations that have arisen by chance but do not contribute to disease. Entries can be searched directly by gene name. Mutational data from the Cancer Genome Project have been mapped onto the crystal structures of the affected human protein domains where known, or onto the most closely related homologous structure if not known. Proteins are linked to functional annotation resources and are annotated with structural and functional features such as domains and phosphorylation sites, and protein interaction partners. This annotation is being expanded to include PROSITE patterns, which identify short peptide segments of functional consequence and sites of post-translation modifications, and Driver/Passenger assessment of the mutations.
A database of RNA modification pathways. The MODOMICS database contains the following types of items: * Modified Bases : Each modified base consists of a unique chemical structure. They are sorted by the regular RNA bases they originate from. The modified base queuosine is special, since it is synthesized first, and then attached to the ribose by a transglycosylation reaction. The letters in the small modification icons indicate what kingdoms of life the modifications occur in (Eukaryota, Archaea, EuBacteria, Mitochondria). In the download section, the .mol structure files for alare available. * Modification Pathways : Here, we present four pathway graphs showing what modifications emerge from the different bases. The letters in the small modification icons indicate what kingdoms of life the modifications occur in (Eukaryota, Archaea, EuBacteria, Mitochondria). All lines connecting two modifications are clickable, and show details on a particular reaction. * Enzymes : Lists enzymes that catalyse known reactions between modified bases. In the table, several alternatively used names for the enzymes are given, as well as a list of participating proteins. * Sequences : Shows sequences of RNAs with modifications highlighted. Currently, tRNAs and small and large subunit rRNAs are included in MODOMICS. * Publications : exactly that.
A database which supports high-throughput NMR and MS approaches to the identification and quantification of metabolites present in biological samples. MMCD serves as a hub for information on small molecules of biological interest gathered from electronic databases and the scientific literature. Each metabolite entry in the MMCD is supported by information in separate data fields, which provide the chemical formula, names and synonyms, structure, physical and chemical properties, NMR and MS data on pure compounds under defined conditions where available, NMR chemical shifts determined by empirical and/or theoretical approaches, calculated isotopomer masses, information on the presence of the metabolite in different biological species, and links to images, references, and other public databases. The MMCD search engine supports versatile data mining and allows users to make individual or bulk queries on the basis of experimental NMR and/or MS data plus other criteria.
A cross-platform (Windows/Mac/Unix) application that can display circular comparisons between a large number of genomes, with a focus on handling genome assembly data.
MolMovDB is a database that describes the motions that occur in proteins and other macromolecules, particularly using movies. Associated with it are a variety of free software tools and servers for structural analysis. The morph server enables the automatic generation of 2D and 3D animations of a plausible or semi-plausible pathway between two static conformations of a protein subunit, such as those conventionally solved by x-ray crystallography. We believe these animations and associated interpolated pathways will become a valuable research and educational tool, allowing the researcher or educator to quickly visualize the chemical transformation of a protein subunit from one conformation into another. With the server, it is easy to determine quickly whether a valid chemical pathway exists between two protein conformations, as in a protein such as calmodulin, or whether, as is the case with diphtheria toxin, the two conformations have no clearly valid chemical pathway and therefore exist most likely as the result of other processes, such as domain swapping.
A database for comparative analysis of mitochondrial genomes and arrangements within metazoan. A particular function of the database is the automatic reconstruction of phylogenetic relationships among metazoans selected by a user from a taxonomic tree menu based on nucleotide sequences, amino acid sequences or gene arrangement patterns. Mitome also enables us (i) easily to find the taxonomic positions of organisms of which complete mitochondrial genome sequences are publicly available; (ii) to acquire various metazoan mitochondrial genome characteristics through a graphical genome browser; (iii) to search for homology patterns in mitochondrial gene arrangements; (iv) to download nucleotide or amino acid sequences not only of an entire mitochondrial genome but also of each component; (v) to find interesting references easily through links with PubMed. In order to provide users with a dynamic, responsive, interactive and faster web database, Mitome is constructed using two recently highlighted techniques, Ajax (Asynchronous JavaScript and XML) and Web Services. Mitome has the potential to become very useful in the fields of molecular phylogenetics and evolution and comparative organelle genomics.
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. It is dedicated to the nuclear genes specifying the enzymes, structural proteins, and other proteins, many still not identified, involved in mitochondrial biogenesis and function. MitoDat highlights predominantly human nuclear-encoded mitochondrial proteins, although it also includes proteins from other animals in addition to those currently known only from yeast and other fungal mitochondria, as well as from plant mitochondria. he database consolidates information from various biological databases, eg., GenBank, SwissPro, Genome Data Base (GDB), Online Mendelian Inheritance in Man (OMIM), et al. Because the mitochondrion has a central role in cellular metabolism, it is involved in many human diseases. This database should help us in studying these diseases. We are also hyperlinked to the Report of the committee on human mitochondrial DNA, maintained by the Wallace group at Emory. It can be accessed here and also from the results when searching mitoDat for mitochondrially encoded genes. The Report of the committee on human mitochondrial DNA is currently the most comprehensive source of information on mitochondrial DNA mutations, other defects, and disorders in which the mitochondrial DNA deficiencies have been associated.
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. A web site dedicated to providing links to mitochondrial data and databases, as well as links to other mitochondrial sites and relevant information. It provides links to databases, complete mitochondrial genomes, genome maps, and publications.
It contains predictions of precursor miRNA genes covering several animal genomes combining orthology and a Support Vector Machine. We provide homology extended alignments of already known miRBase families and putative miRNA families exclusively predicted by our SVM and orthology pipeline. The current release of miROrtho covers 46 animal genomes. We provide homology extended alignments of already known miRBase families and putative miRNA families exclusively predicted by our SVM and orthology pipeline.
An integrated database of positional relationships between animal miRNAs and genomic annotation sets and animal miRNA targets according to combinations of widely used target prediction programs. miRGen has three connected interfaces which query this data. The Genomics interface allows the user to explore where whole-genome collections of miRNAs are located with respect to UCSC genome browser annotation sets such as Known Genes, Refseq Genes, Genscan predicted genes, CpG islands, and pseudogenes. The Targets interface provides access to unions and intersections of four widely used target prediction programs, and experimentally supported targets from TarBase. The Clusters interface provides predicted miRNA clusters at any given inter-miRNA distance, and provides specific functional information on the targets of miRNAs within each cluster.
A resource dedicated to the distribution of information about nucleotide variation found in the PHEX gene, the majority of which are found in patients with X-linked hypophosphatemia. Users can search by mutation, phenotype, or author, or submit their own mutations.
A database of the molecular structure and functional network of the entirely sequenced, filamentous fungus Neurospora crassa. The underlying sequence is the release 7 of the high quality draft sequence of the Broad Institute. The goal is to provide a comprehensive genome database in the Genome Research Environment in parallel with other fungal genomes to enable in depth fungal comparative analysis. The database contains the manually modelled gene set generated in the German Neurospora genome project and is combined with Broad calls from release 7 version 3.
Database of compiled, public, deep sequencing miRNA data and several novel tools to facilitate exploration of massive data. The miR-seq browser supports users to examine short read alignment with the secondary structure and read count information available in concurrent windows. Features such as sequence editing, sorting, ordering, import and export of user data are of great utility for studying iso-miRs, miRNA editing and modifications. miRNA����??target relation is essential for understanding miRNA function. Coexpression analysis of miRNA and target mRNAs, based on miRNA-seq and RNA-seq data from the same sample, is visualized in the heat-map and network views where users can investigate the inverse correlation of gene expression and target relations, compiled from various databases of predicted and validated targets.
A manually curated database, aims at providing a comprehensive resource of miRNA deregulation in various human diseases. Each entry in the miR2Disease contains detailed information on a miRNA-disease relationship, including miRNA ID, disease name, a brief description of the miRNA-disease relationship, miRNA expression pattern in the disease state, detection method for miRNA expression, experimentally verified miRNA target gene(s), and literature reference . All entries can be retrieved by miRNA ID, disease name or target gene. miR2Disease will be updated bimonthly. miR2Disease sincerely looks forward to recently established relationship between miRNA and human diseases to be submitted.
It aims to provide a data and information resource for individual plant species. In addition PlantsDB provides a platform for integrative and comparative plant genome research. It provides information on monocots and dicots, a comparative map viewer, and other specialized databases.
Health Research Funding is designed to bring researchers with peer-reviewed, worthwhile, unfunded projects together with patient advocacy organizations and other funding sources. Working together, we hope to foster the funding of new research that will provide hope to millions of people in this country with chronic diseases and disabilities. * We invite researchers with promising projects that have been scored but not funded by the NIH to submit their abstracts. By registering, you will be able to search for information about organizations that fund research and their requests for abstracts. * Researchers with proposals that have been peer-reviewed but not funded by a NHC member patient advocacy organization may also register. The National Health Council (NHC) developed this site with input from the National Institutes of Health (NIH), the nation''s medical research agency.
OPD is a public database for storing and disseminating mass spectrometry based proteomics data. It covers Escherichia coli, Homo sapiens, Saccharomyces cerevisiae, Mycobacterium smegmatis, and Mus musculus. The database currently contains roughly 3,000,000 spectra representing experiments from these 5 different organisms. The mirror url is provided below as the OPD website is no longer functional (http://bioinformatics.icmb.utexas.edu/OPD/).
It analyzes protein queries for the presence of short functional motifs that, in at least one protein, has been demonstrated to be involved in posttranslational modifications (PTM), binding to other proteins, nucleic acids, or small molecules, or proteins trafficking. The low sequence complexity of motifs, suggest that "false positive" motifs may occur and any prediction made by MnM should be experimentally tested. To aid in the selection of motifs, MnM ranks motifs based on frequencies in proteomes, protein surface prediction, and evolutionary conservation. Using annotation of motifs in the Swiss-Prot database, we have found that higher scores are globally correlated with experimentally validated motifs when compared to a similar analysis using randomized motifs with the same amino acid composition. We suggest that the known biology of the protein of interest and of motifs be used in selecting motifs for experimental study.
In an effort to strongly support the collaborative nature of scientific research, BIOBASE offers access to their tools. Programs that are available through this portal are: * AliBaba 2.1: AliBaba2 is a program for predicting binding sites of transcription factor binding sites in an unknown DNA sequence. Therefore it uses the binding sites collected in TRANSFAC. AliBaba2 is currently the most specific tool for predicting sites. * Boxshade 3.3.1: Pretty Printing and Shading of Multiple-Alignment files. * ClustalW 1.8: ClustalW Multiple Sequence Alignment Program. * Dialign2.0: Multiple Sequence Alignment Program. * F-Match 1.0: F-MATCH is a program for identifying statistically overrepresented Transcription Factor Binding Sites (TFBS) in a set of sequences compared against a control set, assuming a binomial distribution of TFBS frequency. The program reads MATCH output files for the query and control sets. F-Match uses a library of mononucleotide weight matrices from TRANSFAC 6.0 * Match 1.0 Public: Match is designed for searching potential binding sites for transcription factors (TF binding sites) nucleotide sequences. MatchTM uses a library of mononucleotide weight matrices from TRANSFAC 6.0 * molwSearch 1.0: Search for transcription factors with a certain molecular weight. * P-Match 1.0: P-Match is a new tool for identifying transcription factor binding sites (TF binding sites) in DNA sequences. It combines pattern matching and weight matrix approaches thus providing higher accuracy of recognition than each of the methods alone. P-Match uses a library of mononucleotide weight matrices from TRANSFAC 6.0 along with the site alignments associated with these matrices. * Patch 1.0: Search for potential transcription factor binding sites in your own sequences with the pattern search program using TRANSFAC 6.0 public sites. * m2transfac 1.0: m2transfac is a PWM-PWM alignment interface for the TRANSFAC(R) database. For given user motifs, m2transfac reports all non-overlapping pairwise alignments to a TRANSFAC(R) matrix which satisfy a specified threshold. * MatrixCatch 2.7: The MatrixCatch tool is designed for searching potential composite elements (CEs) for transcription factors (TFs) in any DNA sequence, which may be of interest. MatrixCatch uses a library of CE matrix models, which were compiled on a basis of experimentally identified CEs collected in TRANSCOMPEL database and mononucleotide weight matrices for single TF-binding sites collected in TRANSFAC 6.0 public database. * Composite Module Analyst (CMA) 1.0: CMA reads output of Match program and applies a genetic algorithm in order to define promoter models based on the composition of transcription factor binding sites and their pairs. * PolyA Scan 0.000707: Scanning a Sequence for potential Polyadenylation Sites. * ReadSeq 2.0: ReadSeq reads and writes nucleic/protein sequences in various formats. * SignalScan: Analysis of DNA Sequences for known Eukaryotic Signals * SbBlast 1.0: Search Tool for Sequence Search in the S/MARt Binder Database. SbBlast makes use of the BLAST Sequence Similarity Search Tool - Version 2.0.13 (May-26-2000). * SnpFind 0.3: SNPFIND is a tool for searches in the Database of Single Nucleotide Polymorphisms. The search algorithm used for the database search is the BLAST algorithm. * TfBlast 0.1: Search Tool for Sequence Search in the TRANSFAC Factor Table. SbBlast makes use of the BLAST Sequence Similarity Search Tool - Version 2.0.13 (May-26-2000).