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Results for “Databases, Genetic”

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.

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At least 523 records · Page 29Linked to original sources
PubMed2001

Availability and characterization of transgenic and knockout mice with behavioral manifestations: where to look and what to search for.

Mice altered by transgenesis or gene targeting ("knockouts") have increasingly been employed as alternative effective tools in elucidating the genetic basis of neurophysiology and behavior. Standardization of specific behavioral paradigms and phenotyping strategies will ensure that these behavioral mouse mutants offer robust models for evaluating the efficacy of novel therapeutics in the treatment of hereditary neurological disorders. The Induced Mutant Resource (IMR) at The Jackson Laboratory (Bar Harbor, Maine, USA) imports, cryopreserves, develops, maintains, and distributes to the research community biomedically valuable stocks of transgenic and targeted mutant mice. Information on behavioral and neurological strains-including a phenotypic synopsis, husbandry requirements, strain availability, and genetic typing protocols-is available through the IMR database (http://www.jax.org/resources/documents/imr/). A current catalog of available strains is readily accessible via the JAX Mice Web site at http://jaxmice.jax.org/index.shtml. In addition, The Jackson Laboratory is now home to TBASE (http://tbase.jax.org/), a comprehensive, community database whose primary focus is on mouse knockouts. TBASE accommodates an exhaustive bibliographical resource for transgenic and knockout mice and provides a detailed phenotypic characterization of numerous behavioral knockouts that is primarily extracted from the literature. Concerted efforts to merge the two resources into a new, schematically reformed database are underway.

Animals↗
PubMed2004

Match/X, A gene expression pattern recognition algorithm used to identify genes which may be related to CDC2 function and cell cycle regulation.

Large-scale microarray gene expression studies can provide insight into complex genetic networks and biological pathways. A comprehensive gene expression database was constructed using Affymetrix GeneChip microarrays and RNA isolated from more than 6,400 distinct normal and diseased human tissues. These individual patient samples were grouped into over 700 sample sets based on common tissue and disease morphologies, and each set contained averaged expression data for over 45,000 gene probe sets representing more than 33,000 known human genes. Sample sets were compared to each other in more than 750 normal vs. disease pairwise comparisons. Relative up or downregulation patterns of genes across these pairwise comparisons provided unique expression fingerprints that could be compared and matched to a gene of interest using the Match/X trade mark algorithm. This algorithm uses the kappa statistic to compute correlations between genes and calculate a distance score between a gene of interest and all other genes in the database. Using cdc2 as a query gene, we identified several hundred genes that had similar expression patterns and highly correlated distance scores. Most of these genes were known components of the cell cycle involved in G2/M progression, spindle function or chromosome arrangement. Some of the identified genes had unknown biological functions but may be related to cdc2 mediated mechanism based on their closely correlated distance scores. This algorithm may provide novel insights into unknown gene function based on correlation to expression profiles of known genes and can identify elements of cellular pathways and gene interactions in a high throughput fashion.

Algorithms↗
PubMed1993

Information resources at the National Center for Biotechnology Information.

The National Center for Biotechnology Information (NCBI), part of the National Library of Medicine, was established in 1988 to perform basic research in the field of computational molecular biology as well as build and distribute molecular biology databases. The basic research has led to new algorithms and analysis tools for interpreting genomic data and has been instrumental in the discovery of human disease genes for neurofibromatosis and Kallmann syndrome. The principal database responsibility is the National Institutes of Health (NIH) genetic sequence database, GenBank. NCBI, in collaboration with international partners, builds, distributes, and provides online and CD-ROM access to over 112,000 DNA sequences. Another major program is the integration of multiple sequences databases and related bibliographic information and the development of network-based retrieval systems for Internet access.

Animals↗
PubMed2002

Genetic testing.

Explore the source record for details and available documents.

Abortion, Legal↗
PubMed2026

cfMethDB: A Comprehensive cfDNA Methylation Data Resource for Cancer Biomarkers.

Cancer is a major global health threat, and early detection is crucial for improving patient outcomes. DNA methylation in circulating cell-free DNA (cfDNA) has emerged as a promising biomarker for non-invasive cancer diagnosis. However, the integration and utilization of existing cfDNA methylation data have been limited, hindering comprehensive research efforts, particularly in the discovery of cfDNA methylation biomarkers. To address this challenge, we introduced cfMethDB, a comprehensive database dedicated to cfDNA methylation in cancer that encompasses 4828 publicly available datasets. Through standardized analysis, we identified 1,048,770 differentially methylated cytosines (DMCs) as candidate biomarkers across seven cancer types. With cfMethDB, we not only identified known cfDNA methylation biomarkers, but also discovered several genes, such as ZIC4, that could be novel biomarkers. Moreover, cfMethDB offers a suite of user-friendly tools, including biomarker evaluation, pan-cancer search, and end motif analysis. We hope that cfMethDB will serve as a valuable platform for the discovery of novel cancer cfDNA methylation biomarkers and facilitate cancer research and clinical applications. cfMethDB is publicly available at https://cfmethdb.hzau.edu.cn/home.

Humans↗
PubMed2001

A sequence-based integrated map of chromosome 22.

The near-completion of the sequence for chromosome 22q revolutionizes map integration. We describe a sequence-based integrated map containing 968 loci including 516 known or predicted gene sequences, 317 STSs not included in these sequences, and 135 nonexpressed multinucleotide polymorphisms. The published sequence spans 34.6 Mb, inclusive of gaps estimated to total 1.1 Mb, compared with a top-down estimate of 43 Mb. This discrepancy is discussed, but will not be resolved until more of the genome is analyzed. The radiation hybrid map has 5% error in order and 34% error in location exceeding 1 Mb. The utility of a composite location based on evidence other than sequence is limited to regions not yet sequenced. A genetic map conditional on sequence order was constructed from pairwise lods. Its length of 74.8 cM in males and 80.2 cM in females is slightly less than the previous estimate not constrained by sequence order. Five recombination hot spots are detected, with differences in location between the sexes. Male recombination correlates with repetitive DNA, whereas female recombination does not. It remains to be seen whether this is true for other human chromosomes. An algorithm to improve the fit of cytogenetic bands sequence location reduces the discrepancies in cytogenetic assignment from 61 to 38. This sequence-based integrated map is represented in the genetic location database (LDB2000), which is available at http://cedar.genetics.soton.ac.uk/public_html/LDB2000.html.

Base Sequence↗
PubMed2003

Evaluation of the vector space representation in text-based gene clustering.

Thanks to its increasing availability, electronic literature can now be a major source of information when developing complex statistical models where data is scarce or contains much noise. This raises the question of how to deeply integrate information from domain literature with experimental data. Evaluating what kind of statistical text representations can integrate literature knowledge in clustering still remains an unsufficiently explored topic. In this work we discuss how the bag-of-words representation can be used successfully to represent genetic annotation and free-text information coming from different databases. We demonstrate the effect of various weighting schemes and information sources in a functional clustering setup. As a quantitative evaluation, we contrast for different parameter settings the functional groupings obtained from text with those obtained from expert assessments and link each of the results to a biological discussion.

Artificial Intelligence↗
PubMed2026

Microbiome Datahub: an open-access platform integrating environmental metadata, taxonomy, and functional annotation for comprehensive metagenome-assembled genome datasets.

BACKGROUND: Metagenome-assembled genomes (MAGs) provide crucial insights into the genomic diversity of uncultured microbes. However, MAG datasets deposited in public repositories such as INSDC are often difficult to reuse due to heterogeneous quality, inconsistent taxonomic and functional annotations, and insufficiently curated environmental metadata. While secondary MAG databases such as MGnify, IMG/M, and SPIRE provide standardized resources, they reconstruct MAGs de novo from public metagenomic reads and therefore do not represent the original MAGs reported in publications. RESULTS: To address this gap, we developed Microbiome Datahub, an open-access platform that systematically aggregates and re-annotates original MAGs from INSDC. We collected 214,427 MAGs, predicted genes by DFAST, performed quality assessment with CheckM, standardized taxonomic assignments with GTDB-Tk, inferred 27 phenotypic traits using Bac2Feature, assigned proteins to MBGD ortholog clusters and KEGG Orthology IDs using PZLAST, and annotated environmental metadata with the Metagenome and Microbes Environmental Ontology. Across these MAGs, the average completeness was 80.5% and contamination 1.8%; notably, the most frequent values were&#x2009;>95% completeness and&#x2009;<1% contamination, indicating that the majority of MAGs are of high quality. Comparative analyses showed that Microbiome Datahub provides phylogenetically and environmentally diverse MAGs: while the majority originated from vertebrate gut environments, a substantial number were also recovered from other habitats such as groundwater, including nearly 10,000 MAGs from the Patescibacteria. Inference of 27 phenotypic traits, including optimum growth temperature, further revealed ecological differentiation across phyla. Protein clustering revealed 56 million identity 40% clusters, with the majority unique compared with MGnify and GlobDB, and&#x2009;~19% of proteins unassigned to MBGD ortholog clusters, underscoring their novelty. CONCLUSIONS: Microbiome Datahub integrates MAG genome sequences, gene and protein predictions, quality metrics, environmental and taxonomic annotations, ortholog cluster assignments, and phenotype predictions, all accessible via a web interface, API, and bulk downloads. By combining original MAGs with curated metadata and functional annotations, Microbiome Datahub constitutes a comprehensive and reusable resource that will accelerate microbiome and microbial genomics research. Video Abstract.

Metagenome↗