Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Genomic database”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 1,297 records · Page 72Linked to original sources

RMD: a rice mutant database for functional analysis of the rice genome.

Rice Mutant Database (RMD, http://rmd.ncpgr.cn) is an archive for collecting, managing and searching information of the T-DNA insertion mutants generated by an enhancer trap system. We have generated approximately 129 000 rice mutant (enhancer trap) lines that are now being gathered in the database. Information collected in RMD includes mutant phenotypes, reporter-gene expression patterns, flanking sequences of T-DNA insertional sites, seed availability and others, and can be searched by respective ID, keyword, nucleotide sequence or protein sequence on the website. This database is both a mutant collection for identifying novel genes and regulatory elements and a pattern line collection for ectopic expression of target gene in specific tissue or at specific growth stage.

Databases, Genetic↗

Comparison of gene coverage of mouse oligonucleotide microarray platforms.

BACKGROUND: The increasing use of DNA microarrays for genetical genomics studies generates a need for platforms with complete coverage of the genome. We have compared the effective gene coverage in the mouse genome of different commercial and noncommercial oligonucleotide microarray platforms by performing an in-house gene annotation of probes. We only used information about probes that is available from vendors and followed a process that any researcher may take to find the gene targeted by a given probe. In order to make consistent comparisons between platforms, probes in each microarray were annotated with an Entrez Gene id and the chromosomal position for each gene was obtained from the UCSC Genome Browser Database. Gene coverage was estimated as the percentage of Entrez Genes with a unique position in the UCSC Genome database that is tested by a given microarray platform. RESULTS: A MySQL relational database was created to store the mapping information for 25,416 mouse genes and for the probes in five microarray platforms (gene coverage level in parenthesis): Affymetrix430 2.0 (75.6%), ABI Genome Survey (81.24%), Agilent (79.33%), Codelink (78.09%), Sentrix (90.47%); and four array-ready oligosets: Sigma (47.95%), Operon v.3 (69.89%), Operon v.4 (84.03%), and MEEBO (84.03%). The differences in coverage between platforms were highly conserved across chromosomes. Differences in the number of redundant and unspecific probes were also found among arrays. The database can be queried to compare specific genomic regions using a web interface. The software used to create, update and query the database is freely available as a toolbox named ArrayGene. CONCLUSION: The software developed here allows researchers to create updated custom databases by using public or proprietary information on genes for any organisms. ArrayGene allows easy comparisons of gene coverage between microarray platforms for any region of the genome. The comparison presented here reveals that the commercial microarray Sentrix, which is based on the MEEBO public oligoset, showed the best mouse genome coverage currently available. We also suggest the creation of guidelines to standardize the minimum set of information that vendors should provide to allow researchers to accurately evaluate the advantages and disadvantages of using a given platform.

Animals↗

GOLD.db: genomics of lipid-associated disorders database.

BACKGROUND: The GOLD.db (Genomics of Lipid-Associated Disorders Database) was developed to address the need for integrating disparate information on the function and properties of genes and their products that are particularly relevant to the biology, diagnosis management, treatment, and prevention of lipid-associated disorders. DESCRIPTION: The GOLD.db http://gold.tugraz.at provides a reference for pathways and information about the relevant genes and proteins in an efficiently organized way. The main focus was to provide biological pathways with image maps and visual pathway information for lipid metabolism and obesity-related research. This database provides also the possibility to map gene expression data individually to each pathway. Gene expression at different experimental conditions can be viewed sequentially in context of the pathway. Related large scale gene expression data sets were provided and can be searched for specific genes to integrate information regarding their expression levels in different studies and conditions. Analytic and data mining tools, reagents, protocols, references, and links to relevant genomic resources were included in the database. Finally, the usability of the database was demonstrated using an example about the regulation of Pten mRNA during adipocyte differentiation in the context of relevant pathways. CONCLUSIONS: The GOLD.db will be a valuable tool that allow researchers to efficiently analyze patterns of gene expression and to display them in a variety of useful and informative ways, allowing outside researchers to perform queries pertaining to gene expression results in the context of biological processes and pathways.

Adipocytes↗

Drosophila DNase I footprint database: a systematic genome annotation of transcription factor binding sites in the fruitfly, Drosophila melanogaster.

UNLABELLED: Despite increasing numbers of computational tools developed to predict cis-regulatory sequences, the availability of high-quality datasets of transcription factor binding sites limits advances in the bioinformatics of gene regulation. Here we present such a dataset based on a systematic literature curation and genome annotation of DNase I footprints for the fruitfly, Drosophila melanogaster. Using the experimental results of 201 primary references, we annotated 1367 binding sites from 87 transcription factors and 101 target genes in the D.melanogaster genome sequence. These data will provide a rich resource for future bioinformatics analyses of transcriptional regulation in Drosophila such as constructing motif models, training cis-regulatory module detectors, benchmarking alignment tools and continued text mining of the extensive literature on transcriptional regulation in this important model organism. AVAILABILITY: http://www.flyreg.org/ CONTACT: cbergman@gen.cam.ac.uk.

Binding Sites↗

cisRED: a database system for genome-scale computational discovery of regulatory elements.

We describe cisRED, a database for conserved regulatory elements that are identified and ranked by a genome-scale computational system (www.cisred.org). The database and high-throughput predictive pipeline are designed to address diverse target genomes in the context of rapidly evolving data resources and tools. Motifs are predicted in promoter regions using multiple discovery methods applied to sequence sets that include corresponding sequence regions from vertebrates. We estimate motif significance by applying discovery and post-processing methods to randomized sequence sets that are adaptively derived from target sequence sets, retain motifs with p-values below a threshold and identify groups of similar motifs and co-occurring motif patterns. The database offers information on atomic motifs, motif groups and patterns. It is web-accessible, and can be queried directly, downloaded or installed locally.

Animals↗

Specialized microbial databases for inductive exploration of microbial genome sequences.

BACKGROUND: The enormous amount of genome sequence data asks for user-oriented databases to manage sequences and annotations. Queries must include search tools permitting function identification through exploration of related objects. METHODS: The GenoList package for collecting and mining microbial genome databases has been rewritten using MySQL as the database management system. Functions that were not available in MySQL, such as nested subquery, have been implemented. RESULTS: Inductive reasoning in the study of genomes starts from "islands of knowledge", centered around genes with some known background. With this concept of "neighborhood" in mind, a modified version of the GenoList structure has been used for organizing sequence data from prokaryotic genomes of particular interest in China. GenoChore http://bioinfo.hku.hk/genochore.html, a set of 17 specialized end-user-oriented microbial databases (including one instance of Microsporidia, Encephalitozoon cuniculi, a member of Eukarya) has been made publicly available. These databases allow the user to browse genome sequence and annotation data using standard queries. In addition they provide a weekly update of searches against the world-wide protein sequences data libraries, allowing one to monitor annotation updates on genes of interest. Finally, they allow users to search for patterns in DNA or protein sequences, taking into account a clustering of genes into formal operons, as well as providing extra facilities to query sequences using predefined sequence patterns. CONCLUSION: This growing set of specialized microbial databases organize data created by the first Chinese bacterial genome programs (ThermaList, Thermoanaerobacter tencongensis, LeptoList, with two different genomes of Leptospira interrogans and SepiList, Staphylococcus epidermidis) associated to related organisms for comparison.

Algorithms↗

Molecular motors and their functions in plants.

Molecular motors that hydrolyze ATP and use the derived energy to generate force are involved in a variety of diverse cellular functions. Genetic, biochemical, and cellular localization data have implicated motors in a variety of functions such as vesicle and organelle transport, cytoskeleton dynamics, morphogenesis, polarized growth, cell movements, spindle formation, chromosome movement, nuclear fusion, and signal transduction. In non-plant systems three families of molecular motors (kinesins, dyneins, and myosins) have been well characterized. These motors use microtubules (in the case of kinesines and dyneins) or actin filaments (in the case of myosins) as tracks to transport cargo materials intracellularly. During the last decade tremendous progress has been made in understanding the structure and function of various motors in animals. These studies are yielding interesting insights into the functions of molecular motors and the origin of different families of motors. Furthermore, the paradigm that motors bind cargo and move along cytoskeletal tracks does not explain the functions of some of the motors. Relatively little is known about the molecular motors and their roles in plants. In recent years, by using biochemical, cell biological, molecular, and genetic approaches a few molecular motors have been isolated and characterized from plants. These studies indicate that some of the motors in plants have novel features and regulatory mechanisms. The role of molecular motors in plant cell division, cell expansion, cytoplasmic streaming, cell-to-cell communication, membrane trafficking, and morphogenesis is beginning to be understood. Analyses of the Arabidopsis genome sequence database (51% of genome) with conserved motor domains of kinesin and myosin families indicates the presence of a large number (about 40) of molecular motors and the functions of many of these motors remain to be discovered. It is likely that many more motors with novel regulatory mechanisms that perform plant-specific functions are yet to be discovered. Although the identification of motors in plants, especially in Arabidopsis, is progressing at a rapid pace because of the ongoing plant genome sequencing projects, only a few plant motors have been characterized in any detail. Elucidation of function and regulation of this multitude of motors in a given species is going to be a challenging and exciting area of research in plant cell biology. Structural features of some plant motors suggest calcium, through calmodulin, is likely to play a key role in regulating the function of both microtubule- and actin-based motors in plants.

Actins↗

Map-based isolation of disease resistance genes from bread wheat: cloning in a supersize genome.

The genome of bread wheat is hexaploid and contains 1.6 x 10 10 bp of DNA, of which more than 80% is repetitive sequences. Its size and complexity represent a challenge for the isolation of agronomically important genes, for which we frequently know only their position on the genetic map. Recently, new genomic resources and databases from genome projects have simplified the molecular analysis of the wheat genome. The first genes to be isolated from wheat by map-based cloning include three resistance genes against the fungal diseases powdery mildew and leaf rust. In this review, we will describe the approaches and resources that have contributed to this progress, and discuss genomic strategies that will simplify positional cloning in wheat in the near future.

Chromosome Mapping↗

A Case Report of Infantile Dopa-Responsive Dystonia Onset With Sleep Disorder Complicated With Autism Spectrum Disorder.

AIMS/BACKGROUND: Dopa-responsive dystonia (DRD) is a rare genetic disorder with complex and diverse clinical manifestations, resulting in a high rate of misdiagnosis. This case report describes an infantile case of DRD complicated by autism spectrum disorder (ASD), initially presenting with a sleep disorder. We aim to summarize its clinical manifestations, diagnostic process, treatment, and follow-up outcomes in order to improve clinical understanding of this disease. CASE PRESENTATION: A retrospective analysis was performed on a male infant who was treated at Jinhua Maternal and Child Health Care Hospital in 2020. The patient presented at one month of age with sleep disturbances, delayed motor development, and intermittent upward deviation of the eyes. Genetic testing identified two heterozygous pathogenic variants in the tyrosine hydroxylase (TH) gene. Among them, the c.738-2A>G variant was not recorded in the Exome Aggregation Consortium (ExAC), Genome Aggregation Database (gnomAD), or 1000 Genomes Asian population databases. During follow-up, the patient was also found to have comorbid ASD. RESULTS: Genetic testing confirmed biallelic TH mutations, establishing the diagnosis of infantile DRD. The patient exhibited marked clinical response to levodopa/benserazide, though dose titration was required with growth. CONCLUSION: For infants with unexplained sleep disorder accompanied by delayed motor development, genetic testing should be performed as early as possible to facilitate the identification of the root cause and implement timely treatment. In addition, close follow-up should be conducted to detect comorbid neurodevelopmental disorders.

Humans↗

xBASE, a collection of online databases for bacterial comparative genomics.

The schema of the previously described Escherischia coli database coliBASE has been applied to a number of other bacterial taxa, under the collective name xBASE. The new databases include CampyDB for Campylobacter, Helicobacter and Wolinella; PseudoDB for pseudomonads; ClostriDB for clostridia; RhizoDB for Rhizobium and Sinorhizobium; and MycoDB, for Mycobacterium, Streptomyces and related organisms. The databases provide user friendly access to annotation and genome comparisons through a web-based graphical interface. Newly developed features include whole genome displays, 'painting' of genes according to properties such as GC content, a pattern search system to identify conserved motifs and batch BLAST searching of every protein encoded by a region. Examples of how the databases have been, and continue to be, used to generate hypotheses for subsequent laboratory investigation are presented. xBASE is available online at http://xbase.bham.ac.uk.

Computer Graphics↗

Scriptable access to the Caenorhabditis elegans genome sequence and other ACEDB databases.

Much of the world's genomic data are available to the community through networked databases that are accessed via Web interfaces. Although this paradigm provides browse-level access and has greatly facilitated linking between databases, it does not provide any convenient mechanism for programmatically fetching and integrating data from diverse databases. We have created a library and an application programming interface (API) named AcePerl that provides simple, direct access to ACEDB databases from the Perl programming language. With this library, programmers and computer-savvy biologists can write software to pose complex queries on local and remote ACEDB databases, retrieve the data, integrate the results, and move data objects from one database to another. In addition, a set of Web scripts running on top of AcePerl provides Web-based browsing of any local or remote ACEDB database. AcePerl and the AceBrowser Web browser run on Unix systems and are available under a license that allows for unrestricted use and redistribution. Both packages can be downloaded from URL. A Microsoft Windows port of AcePerl is in the planning stages.

Animals↗

The FlyBase database of the Drosophila Genome Projects and community literature.

The FlyBase Drosophila genetics database and the public interfaces of the Berkeley Drosophila Genome Project (BDGP) and European Drosophila Genome Project (EDGP) are in the process of integrating. At present, the data of these projects are available from independent, but hyperlinked, WWW sites (FlyBase URL, http://flybase. bio.indiana.edu/; BDGP URL, http://fruitfly.berkeley.edu/; EDGP URL, http://edgp.ebi.ac.uk/ ). Because of the considerable overlap of data classes between the contributions of the Drosophila genome projects and the Drosophila community, the new and enlarged FlyBase consortium views the implementation of a single integrated Drosophila genomics/genetics server as essential to the scientific community. This integration will occur in a stepwise fashion over the next 1-2 years. In this report, the salient features of the current databases and how to interrogate and navigate the extensive data sets are discussed.

Animals↗

Comparative Mouse Genomics Centers Consortium: the Mouse Genotype Database.

The Comparative Mouse Genomics Centers Consortium (CMGCC) is a branch of the Environmental Genome Project sponsored by the National Institute of Environmental Health Sciences (NIEHS) focusing upon the identification of human single nucleotide polymorphisms (SNPs) that may confer disease susceptibility within the human population. The goal of the CMGCC (http://www.niehs.nih.gov/cmgcc/) is to make genetic mouse models for human SNPs within cell cycle control, DNA replication and DNA repair genes that may be associated with human pathologies. In order to facilitate information sharing and analysis within the consortium a set of informatics resources have been generated to support the mouse model development efforts. The primary entry point for information about the mouse models developed by the consortium is through the CMGCC Genotype Database (http://mrages.niehs.nih.gov/genotype/), which maintains both a consortium specific and public access display of the available and developing mouse models.

Animals↗

A web-based tool to retrieve human genome polymorphisms from public databases.

Single Nucleotide Polymorphisms (SNPs) are the most important source of variation in our genome, and an invaluable tool in the hands of researchers who investigate genetic diseases. Databases of SNPs are growing at a very fast rate, and the ability to perform large-scale, high-resolution association studies is quickly becoming a reality. In this paper we describe SNPper, a web-based tool to search for SNPs in public databases. The system allows searching for all SNPs in a given set of genes (for candidate gene studies) or in a specified region of a chromosome. The information displayed for each gene or each SNP is fully annotated and linked to the leading bioinformatics web sites. The first release of SNPper is available on the web, and has received positive feedback from the genetic and bioinformatics community.

Databases, Genetic↗

GBRAP: A Comprehensive Database and Tool for Exploring Genomic Diversity Across All Domains of Life.

Evolutionary studies require extensive examination of genomic information across all domains of life. Despite the availability of a large number of genomes through GenBank, the effective visualization or comparison of the information they contain is challenging due to many reasons, including their size. We introduce genome-based retrieval and analysis parser, a comprehensive software tool to analyze genome files, and an online database housing an extensive collection of carefully curated, high-quality genome statistics for all the organisms available in the RefSeq database of National Center for Biotechnology Information. Users can either directly search, or select from precategorized groups, the organisms of their choice and retrieve data, and the output is generated as tables containing more than 200 columns of useful genomic information (base counts, GC content, Shannon entropy, codon usage, etc.) separately calculated for different genomic elements (e.g. coding sequences, introns, transfer RNA, ribosomal RNA, noncoding RNA, etc.). The data are independently displayed (if applicable) for each chromosomal, mitochondrial, plastid, or plasmid sequence. All the data can be visualized on the database or downloaded as comma-separated value or Excel files. The genome-based retrieval and analysis parser database is free to access without any registration and is publicly available at http://tacclab.org/gbrap/.

Software↗