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GLASSgo in Galaxy: high-throughput, reproducible and easy-to-integrate prediction of sRNA homologs

MOTIVATION: The correct prediction of bacterial sRNA homologs is a prerequisite for many downstream analyses based on comparative genomics, but it is frequently challenging due to the short length and distinct heterogeneity of such homologs. GLobal Automatic Small RNA Search go (GLASSgo) is an effic...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Bioinformatics
Päätekijät: Schäfer, Richard A, Lott, Steffen C, Georg, Jens, Grüning, Björn A, Hess, Wolfgang R, Voß, Björn
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Oxford University Press 2020
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC7520042/
https://ncbi.nlm.nih.gov/pubmed/32492127
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa556
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