Novel Methods for Analysing Bacterial Tracks Reveal Persistence in Rhodobacter sphaeroides

标题
Novel Methods for Analysing Bacterial Tracks Reveal Persistence in Rhodobacter sphaeroides
作者
关键词
Hidden Markov models, Pathogen motility, Bacteria, Swimming, Simulation and modeling, Cell motility, Data acquisition, Motion
出版物
PLoS Computational Biology
Volume 9, Issue 10, Pages e1003276
出版商
Public Library of Science (PLoS)
发表日期
2013-10-25
DOI
10.1371/journal.pcbi.1003276

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started