SAMFIRE: multi-locus variant calling for time-resolved sequence data

机译：SAMFIRE：多位点变体，需要时间解析的序列数据

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This is the author accepted manuscript. The final version is available from Oxford University Press via http://dx.doi.org/10.1093/bioinformatics/btw205

机译：这是作者接受的手稿。最终版本可以从牛津大学出版社通过http://dx.doi.org/10.1093/bioinformatics/btw205获得

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作者
Illingworth Christopher John;
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年度 2016
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原文格式 PDF
正文语种 English
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专利

1. SAMFIRE: multi-locus variant calling for time-resolved sequence data [J] . Illingworth C. J. R. Bioinformatics . 2016,第14期

机译：SAMFIRE：多基因座变体调用时间分辨序列数据
2. Calling known variants and identifying new variants while rapidly aligning sequence data [J] . P. M. VanRaden, D. M. Bickhart, J. R. O’Connell Journal of dairy science . 2019,第4期

机译：在快速对准序列数据时调用已知的变体并识别新变体
3. THE LIMITATIONS OF VARIANT CALLING ALGORITHMS FOR CLASSICAL HLA GENES FROM WHOLE GENOME SEQUENCE DATA [J] . Cox Charles J., Dilthey Alexander, Newcombe Paul, Tissue antigens. . 2012,第6期

机译：来自全基因组序列数据的经典HLA基因变异计算算法的局限性
4. Accelerating SARS-CoV-2 low frequency variant calling on ultra deep sequencing datasets [C] . Bryce Kille, Yunxi Liu, Nicolae Sapoval, IEEE International Parallel and Distributed Processing Symposium Workshops . 2021

机译：加速SARS-COV-2低频变体呼叫超深度测序数据集
5. Statistical methods for genome variant calling and population genetic inference from next-generation sequencing data. [D] . Ma, Xin. 2011

机译：从下一代测序数据进行基因组变异调用和群体遗传推断的统计方法。
6. SAMFIRE: multi-locus variant calling for time-resolved sequence data [O] . C. J. R. Illingworth -1

机译：SAMFIRE：多位点变体需要时间解析的序列数据
7. Calling known variants and identifying new variants while rapidly aligning sequence data [O] . P.M. VanRaden, D.M. Bickhart, J.R. OConnell 2019

机译：在快速对准序列数据时调用已知的变体并识别新变体

SAMFIRE: multi-locus variant calling for time-resolved sequence data

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