Seqenv: linking sequences to environments through text mining

Seqenv: linking sequences to environments through text mining

Understanding the distribution of taxa and associated traits across different environments is one of the central questions in microbial ecology. High-throughput sequencing (HTS) studies are presently generating huge volumes of data to address this biogeographical topic. However, these studies are of...

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Bibliographic Details
Main Authors: Lucas Sinclair, Umer Z. Ijaz, Lars Juhl Jensen, Marco J.L. Coolen, Cecile Gubry-Rangin, Alica Chroňáková, Anastasis Oulas, Christina Pavloudi, Julia Schnetzer, Aaron Weimann, Ali Ijaz, Alexander Eiler, Christopher Quince, Evangelos Pafilis
Format: Article
Language:English
Published: PeerJ Inc. 2016-12-01
Series:PeerJ
Subjects:
Bioinformatics
Ecology
Microbiology
Genomics
Sequence analysis
Text processing
Online Access:https://peerj.com/articles/2690.pdf

Internet

https://peerj.com/articles/2690.pdf

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