GCphase: an SNP phasing method using a graph partition and error correction algorithm

Experimental results show that GCphase under different sequencing depths of different data has the least number of switch errors and the highest accuracy compared with other methods.

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Publication Details

Journal
BMC Bioinformatics
Published
2024-08-19
DOI
https://doi.org/10.1186/s12859-024-05901-8
Citations
1
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.23

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article

GCphase: an SNP phasing method using a graph partition and error correction algorithm

Haixia Zhai, Junfeng Wang, Junwei Luo, Jiayi Wang
1 citations
BMC Bioinformatics
Genomics and Phylogenetic Studies
0.23
article

GCphase: an SNP phasing method using a graph partition and error correction algorithm

Haixia Zhai, Junfeng Wang, Junwei Luo, Jiayi Wang
article en
1 citations

Abstract

Experimental results show that GCphase under different sequencing depths of different data has the least number of switch errors and the highest accuracy compared with other methods.

BMC BioinformaticsVol. 25(1)
Henan Polytechnic University (CN)
National Natural Science Foundation of China, Henan Polytechnic University, Science and Technology Department of Henan Province
Openalex Percentile: Top 43%
Genomics and Phylogenetic Studies
0.23
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