ViVaMBC: estimating viral sequence variation in complex populations from illumina deep-sequencing data using model-based clustering

标题
ViVaMBC: estimating viral sequence variation in complex populations from illumina deep-sequencing data using model-based clustering
作者
关键词
Illumina sequencing, Codon, Second best base call, Model-based clustering, Viral quasispecies
出版物
BMC BIOINFORMATICS
Volume 16, Issue 1, Pages -
出版商
Springer Nature
发表日期
2015-02-21
DOI
10.1186/s12859-015-0458-7

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now