Genome Information Broker (GIB) is a powerful tool for the study of comparative genomics. GIB allows users to retrieve and display partial and/or whole genome sequences together with the relevant biological annotation. GIB has accumulated all the completed microbial genome and has recently been expanded to include Arabidopsis thaliana genome data from DDBJ/EMBL/GenBank. In the near future, hundreds of genome sequences will be determined. In order to handle such huge data, we have enhanced the GIB architecture by using XML, CORBA and distributed RDBs. We introduce the new GIB here. GIB is freely accessible at http://gib.genes.nig.ac.jp/.
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http://dx.doi.org/10.1093/nar/30.1.66 | DOI Listing |
Front Genet
November 2024
Department of Animal Science, Bioinformatics and Computational Biology Program, Iowa State University, Ames, IA, United States.
Introduction: The agriculture genomics community has numerous data submission standards available, but the standards for describing and storing single-cell (SC, e.g., scRNA- seq) data are comparatively underdeveloped.
View Article and Find Full Text PDFNat Commun
September 2024
Centre for Endocrinology, John Vane Science Centre, Queen Mary University of London, Charterhouse Square, London, UK.
J Natl Cancer Inst Monogr
August 2024
Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.
Int J Gynaecol Obstet
January 2025
Department of Clinical Genetics, Helsinki University Hospital, Helsinki, Finland.
Objective: To study whether gynecologic or reproductive disorders show association with trisomic conceptions.
Methods: This nationwide cohort study utilized the Registry of Congenital Malformations to identify women who had a trisomic pregnancy (n = 5784), either with trisomy 13 (T13; n = 351), trisomy 18 (T18; n = 1065) or trisomy 21 (T21; n = 4369) from 1987 to 2018. We used the Finnish Maternity cohort to match the cases to population controls (n = 34 422) on the age, residence, and timing of pregnancy.
Front Immunol
June 2024
Institute of Immunology, University Medicine Greifswald, Greifswald, Germany.
Background: Atopic dermatitis (AD) is a chronic, relapsing inflammatory skin disease with skin barrier defects and a misdirected type 2 immune response against harmless antigens. The skin microbiome in AD is characterized by a reduction in microbial diversity with a dominance of staphylococci, including ().
Objective: To assess whether antigens play a role in AD, we screened for candidate allergens and studied the T cell and humoral immune response against the extracellular serine protease (Esp).
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