Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)

Learning the Quality Filter Method of Sequence by Quality Cut-off Value and Base Percent

Authors
Henghua Shi, Xin Xu
Corresponding Author
Henghua Shi
Available Online December 2016.
DOI
10.2991/mcei-16.2016.1How to use a DOI?
Keywords
Quality filter method; Sequence; Quality cut-off value; Base percent; Bioinformatics
Abstract

For the next bioinformatics analysis of sequence reads, the initial sequence reads with next-generation sequencing technology should be clean with the quality filter method. The basic quality filter method can filter the initial sequence reads by quality cut-off value and base percent. We select some initial sequence reads, and do a lot of quality filter experiments. For learning the quality filter method, we compare the results quality filter the experiment sequence reads by varies quality cut-off value and base percent.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
10.2991/mcei-16.2016.1
ISSN
1951-6851
DOI
10.2991/mcei-16.2016.1How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Henghua Shi
AU  - Xin Xu
PY  - 2016/12
DA  - 2016/12
TI  - Learning the Quality Filter Method of Sequence by Quality Cut-off Value and Base Percent
BT  - Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 1
EP  - 5
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.1
DO  - 10.2991/mcei-16.2016.1
ID  - Shi2016/12
ER  -