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

Learning the Sequence Reads Information of Bioinformatics Analysis Method

Authors
Henghua Shi, Xin Xu
Corresponding Author
Henghua Shi
Available Online December 2016.
DOI
https://doi.org/10.2991/mcei-16.2016.86How to use a DOI?
Keywords
Sequence reads; Quality statistics; Nucleotide distribution; Quality score; Bioinformatics
Abstract

The main information of the sequence reads are quality statistics and nucleotide distribution. There are many bioinformatics analysis method to compute quality statistics and create the quality scores and the nucleotide distribution. For learning the sequence reads information of bioinformatics analysis method, we do a sequence reads analysis experiment, and compute quality statistics and create the quality scores and nucleotide distribution graph with the corresponding bioinformatics analysis tools.

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-16.2016.86How 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 Sequence Reads Information of Bioinformatics Analysis Method
BT  - Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 419
EP  - 422
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.86
DO  - https://doi.org/10.2991/mcei-16.2016.86
ID  - Shi2016/12
ER  -