Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)

Learning the Base Sequence Quality and Content of Bioinformatics Analysis Method

Authors
Henghua Shi, Weiyu Li, Xin Xu
Corresponding Author
Henghua Shi
Available Online September 2016.
DOI
10.2991/meici-16.2016.118How to use a DOI?
Keywords
Bioinformatics; Base Sequence; Quality; Content; Next-generation Sequencing
Abstract

With the application of next-generation sequencing technology, bioinformatics analysis method for sequences have developed rapidly. There are many variable quantities and sub-methods to evaluate the quality of the base sequence. With comparing and analysis the tools of learning quality and content of the base sequence, we do a learning quality and content analysis experiment, and analyze the base sequence quality and content analysis steps including Per base sequence quality, Per base sequence content, Per base GC content, Per base N content, et al.

Copyright
© 2016, 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 Management, Education, Information and Control (MEICI 2016)
Series
Advances in Intelligent Systems Research
Publication Date
September 2016
ISBN
10.2991/meici-16.2016.118
ISSN
1951-6851
DOI
10.2991/meici-16.2016.118How to use a DOI?
Copyright
© 2016, 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  - Weiyu Li
AU  - Xin Xu
PY  - 2016/09
DA  - 2016/09
TI  - Learning the Base Sequence Quality and Content of Bioinformatics Analysis Method
BT  - Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)
PB  - Atlantis Press
SP  - 563
EP  - 566
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-16.2016.118
DO  - 10.2991/meici-16.2016.118
ID  - Shi2016/09
ER  -