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
https://doi.org/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/).

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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
978-94-6252-282-4
ISSN
1951-6851
DOI
https://doi.org/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  - https://doi.org/10.2991/mcei-16.2016.1
ID  - Shi2016/12
ER  -