Impact of quality trimming on the efficiency of reads joining and diversity analysis of Illumina paired-end reads in the context of QIIME1 and QIIME2 microbiome analysis frameworks

Impact of quality trimming on the efficiency of reads joining and diversity analysis of Illumina paired-end reads in the context of QIIME1 and QIIME2 microbiome analysis frameworks

Abstract Background To increase the accuracy of microbiome data analysis, solving the technical limitations of the existing sequencing machines is required. Quality trimming is suggested to reduce the effect of the progressive decrease in sequencing quality with the increased length of the sequenced...

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Bibliographic Details
Main Authors: Attayeb Mohsen, Jonguk Park, Yi-An Chen, Hitoshi Kawashima, Kenji Mizuguchi
Format: Article
Language:English
Published: BMC 2019-11-01
Series:BMC Bioinformatics
Subjects:
QIIME
Quality trimming
Paired-end reads
Diversity analysis
Optimization
Online Access:http://link.springer.com/article/10.1186/s12859-019-3187-5

Internet

http://link.springer.com/article/10.1186/s12859-019-3187-5

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