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

Learning the Masking and Reverse Complement Method of the Sequence Reads

Authors
Henghua Shi, Xin Xu
Corresponding Author
Henghua Shi
Available Online December 2016.
DOI
10.2991/mcei-16.2016.2How to use a DOI?
Keywords
Reverse complement; Masking; Bioinformatics; Sequence reads; Quality scores
Abstract

There are some base characters with specified quality score value in the initial sequence reads. The base characters need the bioinformatics analysis method to mask such as mask by quality score. In the other hand, there are many sequence reads need the bioinformatics analysis method to reverse complement such as reverse-complement. For learning the masking and reverse complement method of the sequence reads, we select some initial sequence reads for the masking and reverse complement experiments, and compare the experiment results of mask by quality score and reverse-complement.

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
10.2991/mcei-16.2016.2How 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 Masking and Reverse Complement Method of the Sequence Reads
BT  - Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 6
EP  - 9
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.2
DO  - 10.2991/mcei-16.2016.2
ID  - Shi2016/12
ER  -