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A quick guide for student-driven community genome annotation.
Hosmani, Prashant S; Shippy, Teresa; Miller, Sherry; Benoit, Joshua B; Munoz-Torres, Monica; Flores-Gonzalez, Mirella; Mueller, Lukas A; Wiersma-Koch, Helen; D'Elia, Tom; Brown, Susan J; Saha, Surya.
  • Hosmani PS; Boyce Thompson Institute, Ithaca, New York.
  • Shippy T; Division of Biology, Kansas State University, Manhattan, Kansas.
  • Miller S; Division of Biology, Kansas State University, Manhattan, Kansas.
  • Benoit JB; Department of Biological Sciences, University of Cincinnati, Cincinnati, Ohio.
  • Munoz-Torres M; Lawrence Berkeley National Laboratory, Environmental Genomics and Systems Biology, Berkeley, California.
  • Flores-Gonzalez M; Center for Genome Research and Biocomputing, Oregon State University, Corvallis, Oregon.
  • Mueller LA; Boyce Thompson Institute, Ithaca, New York.
  • Wiersma-Koch H; Boyce Thompson Institute, Ithaca, New York.
  • D'Elia T; Indian River State College, Fort Pierce, Florida.
  • Brown SJ; Indian River State College, Fort Pierce, Florida.
  • Saha S; Division of Biology, Kansas State University, Manhattan, Kansas.
PLoS Comput Biol ; 15(4): e1006682, 2019 04.
Article en En | MEDLINE | ID: mdl-30943207
ABSTRACT
High quality gene models are necessary to expand the molecular and genetic tools available for a target organism, but these are available for only a handful of model organisms that have undergone extensive curation and experimental validation over the course of many years. The majority of gene models present in biological databases today have been identified in draft genome assemblies using automated annotation pipelines that are frequently based on orthologs from distantly related model organisms and usually have minor or major errors. Manual curation is time consuming and often requires substantial expertise, but is instrumental in improving gene model structure and identification. Manual annotation may seem to be a daunting and cost-prohibitive task for small research communities but involving undergraduates in community genome annotation consortiums can be mutually beneficial for both education and improved genomic resources. We outline a workflow for efficient manual annotation driven by a team of primarily undergraduate annotators. This model can be scaled to large teams and includes quality control processes through incremental evaluation. Moreover, it gives students an opportunity to increase their understanding of genome biology and to participate in scientific research in collaboration with peers and senior researchers at multiple institutions.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biología Computacional / Genómica / Anotación de Secuencia Molecular / Modelos Genéticos Tipo de estudio: Guideline Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biología Computacional / Genómica / Anotación de Secuencia Molecular / Modelos Genéticos Tipo de estudio: Guideline Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article