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Article . 2018
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Article . 2018
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Tackling Hypotheticals in Helminth Genomes

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2018 Argentina English Publisher:Elsevier BV
Authors: Palevich, Nikola; Britton, Collette; Kamenetzky, Laura; Mitreva, Makedonka; Mourâo, Marina de Moraes; Bennuru, Sasisekhar; Quack, Thomas; +4 Authors

handle: 11336/91328

Tackling Hypotheticals in Helminth Genomes

Abstract

Fil: Kamenetzky, Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones en Microbiología y Parasitología Médica. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones en Microbiología y Parasitología Médica; Argentina

Advancements in genome sequencing have led to the rapid accumulation of uncharacterized ‘hypothetical proteins’ in the public databases. Here we provide a community perspective and some best-practice approaches for the accurate functional annotation of uncharacterized genomic sequences.

Fil: Mitreva, Makedonka. Washington University. The McDonnell Genome Institute; Estados Unidos. Washigton University. The School of Medicine ; Estados Unidos

Fil: International Molecular Helminthology Annotation Network. No especifica;

Fil: Tyagi, Rahul. Washington University. School of Medicine; Estados Unidos

Fil: Scholte, Larissa Lopes Silva. Centro de Pesquisas René Rachou; Brasil

Fil: Bennuru, Sasisekhar. National Institutes of Health; Estados Unidos

Fil: Mourâo, Marina de Moraes. Centro de Pesquisas René Rachou; Brasil

Fil: Palevich, Nikola. Grassland Research Centre; Nueva Zelanda

Fil: Slatko, Barton E.. New England Biolabs; Estados Unidos

Country
Argentina
Related Organizations
Keywords

HELMINTH, HYPOTHETICAL GENES, CRISPR, RNAI, https://purl.org/becyt/ford/1.6, GENOMES, https://purl.org/becyt/ford/1, ANNOTATION

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green