Decontaminating eukaryotic genome assemblies with machine learning

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Decontaminating eukaryotic genome assemblies with machine learning Article

Fierst, Janna L, Murdock, Duncan A. (2017). Decontaminating eukaryotic genome assemblies with machine learning . BMC BIOINFORMATICS, 18 10.1186/s12859-017-1941-0

Open Access

cited authors

Fierst, Janna L; Murdock, Duncan A

sustainable development goals

SDG 15: Life On Land

authors

Fierst, Janna

publication date

December 1, 2017

webpage

https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000416904100001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=e451fd656366bf1ec5554941920a9ccb

published in

BMC BIOINFORMATICS Journal

keywords

BACTERIA
Biochemical Research Methods
Biochemistry & Molecular Biology
Biotechnology & Applied Microbiology
CONTAMINATION
Contamination
DNA sequencing
EVOLUTION
Genome assembly
HORIZONTAL GENE-TRANSFER
High-throughput
Life Sciences & Biomedicine
Mathematical & Computational Biology
NEMATOSTELLA-VECTENSIS
NO EVIDENCE
SEQUENCE
Science & Technology
Sequence filtering
VERTEBRATE
VISUALIZATION

Digital Object Identifier (DOI)

https://doi.org/10.1186/s12859-017-1941-0

publisher

BMC

volume

18