A Fusion Method Based on Alignment Software with SNP and Indel
Detection Methods
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Published:2022-03
Issue:3
Volume:25
Page:519-527
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ISSN:1386-2073
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Container-title:Combinatorial Chemistry & High Throughput Screening
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language:en
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Short-container-title:CCHTS
Author:
Chen Guobing1,
Tang Chao2,
Qi Jun2,
Wang Ying2,
Shi Xiaolong2ORCID
Affiliation:
1. Chongqing Key Laboratory of Spatial Data Mining and Big Data Integration for Ecology and Environment, Rongzhi College of Chongqing Technology and Business University , Chongqing 401320,China
2. Radiation & Cancer Biology Laboratory, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing 400030,China
Abstract
Background:
With the advent of the second generation sequencing technology, the discovery of sequence
alignment and sequence variation is a long-standing challenge.
Results:
A method based on general alignment software, SNP and Indel software tools was proposed in this paper. By
comparing the advantages of traditional alignment software, we can produce the best alignment. SNP and Indel detection
tools fusion research found that different depth of sequencing effect is different. When the sequence depth reaches a certain
value, select one of the software for testing.
Conclusions:
Finally, the experimental verification shows that SNP and Indel have certain advantages in the comparison of
the effects of the fusion method.
Funder
Doctoral Candidate Innovative Talent Project of Chongqing University of Posts and Telecommunications
Natural Science Foundation of Chongqing
Publisher
Bentham Science Publishers Ltd.
Subject
Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine