Identifying Bacterial Strains from Sequencing Data

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Sammanfattning

Environmental and clinical settings can host a wide variety of both bacterial species and strains in a single colony but accurate identification of the organisms is difficult. We describe BIB, a probabilistic method for estimating the relative abundances of species or strains contained in mixed samples analyzed by short read high-throughput sequencing. By grouping closely related strains together in clusters, the BIB pipeline is capable of estimating the relative abundances of the clusters contained in a sequencing sample.
Originalspråkengelska
Titel på gästpublikationData Mining for Systems Biology : Methods and Protocols
RedaktörerHiroshi Mamitsuka
Antal sidor7
UtgivningsortNew York, NY
FörlagHumana press
Utgivningsdatum2018
Utgåva2
Sidor1-7
ISBN (tryckt)978-1-4939-8560-9
ISBN (elektroniskt)978-1-4939-8561-6
DOI
StatusPublicerad - 2018
MoE-publikationstypA3 Del av bok eller annan forskningsbok

Publikationsserier

NamnMethods in Molecular Biology
FörlagHumana Press
Volym1807
ISSN (tryckt)1064-3745
ISSN (elektroniskt)1940-6029

Vetenskapsgrenar

  • 112 Statistik
  • 1183 Växtbiologi, mikrobiologi, virologi

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