FlyBase at 25: looking to the future
By L. Gramates, Steven J. Marygold, G. Santos, J. Urbano, Giulia Antonazzo, B. Matthews, Alix J. Rey, C. Tabone, Madeline A. Crosby, D. Emmert and 9 more. Nucleic Acids Res., 2016
543 citations recorded by the source corpus.
Since 1992, FlyBase (flybase.org) has been an essential online resource for the Drosophila research community. Concentrating on the most extensively studied species, Drosophila melanogaster, FlyBase includes information on genes (molecular and genetic), transgenic constructs, phenotypes, genetic and physical interactions, and reagents such as stocks and cDNAs. Access to data is provided through a number of tools, reports, and bulk-data downloads. Looking to the future, FlyBase is expanding its focus to serve a broader scientific community. In this update, we describe new features, datasets, reagent collections, and data presentations that address this goal, including enhanced orthology data, Human Disease Model Reports, protein domain search and visualization, concise gene summaries, a portal for external resources, video tutorials and the FlyBase Community Advisory Group.
Subfields: Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology
View Paper: https://www.semanticscholar.org/paper/6ca23bca7951edffa40becb04588d325711659d3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
In Molecular Biology
- Lorrie Boucher
- Mike Tyers
- Chris Stark
- Bobby-Joe Breitkreutz
- Kara Dolinski
- Rose Oughtred
- Jan Grau
- Paul Denny
Citations in the corpus
- RNAcentral: a hub of information for non-coding RNA sequences (2018, unknown): “Since our last publication, RNAcentral has imported ncRNA data from seven new databases, including three Model Organism Databases (MODs): FlyBase (11), Mouse Genome Informatics (MGI) (15), and the Rat Genome Database (RGD) (16).”
- Combining RNA-seq data and homology-based gene prediction for plants, animals and fungi (2017, methodology): “Influence of reference species Utilizing different fly species from FlyBase [33], we scrutinize the influence of different or multiple reference species on the performance of GeMoMa using RNA-seq data (Additional file 1: Table S8).”
- NONCODEV5: a comprehensive annotation database for long non-coding RNAs (2017, methodology): “In addition to the four databases, we also integrated The Arabidopsis Information Resource (TAIR) (21) and FlyBase (22) databases into NONCODEv5 .”
- FlyBase 2.0: the next generation (2018, background): “…features of the genome and epigenome, all shown as separate ‘tracks’ (15) Tracks unique to FlyBase include signal graphs of RNA-Seq from different projects over developmental time or in response to environmental stimuli and protein domains aligned to the D. melanogaster genome reference strain (1).”
- Genenames.org: the HGNC and VGNC resources in 2019 (2018, background): “We continue to maintain links to related Gene Groups of Drosophila genes curated by FlyBase (18).”
- The BioGRID interaction database: 2019 update (2018, methodology): “The GIST has been designed to precisely specify genetic interactions using a universal genetic interaction terminology and is supported by other MODs, including SGD (19), CGD (26), PomBase (25), ZFIN (29), FlyBase (27) and TAIR (28).”