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REDfly: An Integrated Knowledgebase for Insect Regulatory Genomics.
Keränen, Soile V E; Villahoz-Baleta, Angel; Bruno, Andrew E; Halfon, Marc S.
Afiliación
  • Keränen SVE; Independent Research, Berkeley, CA 94705, USA.
  • Villahoz-Baleta A; Center for Computational Research, State University of New York at Buffalo, Buffalo, NY 14203, USA.
  • Bruno AE; New York State Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, Buffalo, NY 14203, USA.
  • Halfon MS; Center for Computational Research, State University of New York at Buffalo, Buffalo, NY 14203, USA.
Insects ; 13(7)2022 Jul 11.
Article en En | MEDLINE | ID: mdl-35886794
We provide here an updated description of the REDfly (Regulatory Element Database for Fly) database of transcriptional regulatory elements, a unique resource that provides regulatory annotation for the genome of Drosophila and other insects. The genomic sequences regulating insect gene expression-transcriptional cis-regulatory modules (CRMs, e.g., "enhancers") and transcription factor binding sites (TFBSs)-are not currently curated by any other major database resources. However, knowledge of such sequences is important, as CRMs play critical roles with respect to disease as well as normal development, phenotypic variation, and evolution. Characterized CRMs also provide useful tools for both basic and applied research, including developing methods for insect control. REDfly, which is the most detailed existing platform for metazoan regulatory-element annotation, includes over 40,000 experimentally verified CRMs and TFBSs along with their DNA sequences, their associated genes, and the expression patterns they direct. Here, we briefly describe REDfly's contents and data model, with an emphasis on the new features implemented since 2020. We then provide an illustrated walk-through of several common REDfly search use cases.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Insects Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Insects Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
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