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

Learning the Trimming Method of Sequence for Removing the Barcodes or Noise

Authors
Henghua Shi, Xin Xu
Corresponding Author
Henghua Shi
Available Online December 2016.
DOI
https://doi.org/10.2991/mcei-16.2016.85How to use a DOI?
Keywords
Trimming method; Barcodes or noise; Sequence; Bioinformatics; Offsets
Abstract
The initial sequence reads with next-generation sequencing technology have some barcodes or noise, and need to be removed by trimming method of bioinformatics. The trimming method includes trimmer by column with absolute for fixed length reads or percentage for variable length reads, and quality trimmer by sliding window. For learning the trimming method of sequence for removing the barcodes or Noise, we do some trimming sequence reads experiments, study the trimmer by column with absolute for fixed length reads or percentage for variable length reads, and compare the results for the different setting of quality score values for the quality trimmer by sliding window.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Part of 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-16.2016.85How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Henghua Shi
AU  - Xin Xu
PY  - 2016/12
DA  - 2016/12
TI  - Learning the Trimming Method of Sequence for Removing the Barcodes or Noise
BT  - 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 414
EP  - 418
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.85
DO  - https://doi.org/10.2991/mcei-16.2016.85
ID  - Shi2016/12
ER  -