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1.
Nucleic Acids Res ; 49(D1): D899-D907, 2021 01 08.
Article in English | MEDLINE | ID: mdl-33219682

ABSTRACT

FlyBase (flybase.org) is an essential online database for researchers using Drosophila melanogaster as a model organism, facilitating access to a diverse array of information that includes genetic, molecular, genomic and reagent resources. Here, we describe the introduction of several new features at FlyBase, including Pathway Reports, paralog information, disease models based on orthology, customizable tables within reports and overview displays ('ribbons') of expression and disease data. We also describe a variety of recent important updates, including incorporation of a developmental proteome, upgrades to the GAL4 search tab, additional Experimental Tool Reports, migration to JBrowse for genome browsing and improvements to batch queries/downloads and the Fast-Track Your Paper tool.


Subject(s)
Computational Biology/methods , Databases, Genetic , Drosophila melanogaster/genetics , Genome, Insect/genetics , Genomics/methods , Animals , Genes, Insect/genetics , Knowledge Bases , Molecular Sequence Annotation/methods , Search Engine/methods , Web Browser
2.
Database (Oxford) ; 20192019 01 01.
Article in English | MEDLINE | ID: mdl-30689844

ABSTRACT

The catalytic activities of enzymes can be described using Gene Ontology (GO) terms and Enzyme Commission (EC) numbers. These annotations are available from numerous biological databases and are routinely accessed by researchers and bioinformaticians to direct their work. However, enzyme data may not be congruent between different resources, while the origin, quality and genomic coverage of these data within any one resource are often unclear. GO/EC annotations are assigned either manually by expert curators or inferred computationally, and there is potential for errors in both types of annotation. If such errors remain unchecked, false positive annotations may be propagated across multiple resources, significantly degrading the quality and usefulness of these data. Similarly, the absence of annotations (false negatives) from any one resource can lead to incorrect inferences or conclusions. We are systematically reviewing and enhancing the functional annotation of the enzymes of Drosophila melanogaster, focusing on improvements within the FlyBase (www.flybase.org) database. We have reviewed four major enzyme groups to date: oxidoreductases, lyases, isomerases and ligases. Herein, we describe our review workflow, the improvement in the quality and coverage of enzyme annotations within FlyBase and the wider impact of our work on other related databases.


Subject(s)
Databases, Genetic , Drosophila Proteins/genetics , Drosophila melanogaster , Enzymes/genetics , Genes, Insect/genetics , Molecular Sequence Annotation/methods , Animals , Drosophila melanogaster/enzymology , Drosophila melanogaster/genetics , Gene Ontology , Genomics
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