Response to 'comment on rigorous benchmarking of T cell receptor repertoire profiling methods for cancer RNA sequencing' by Davydov A.N.; Bolotin D.A.; Poslavsky S. V. and Chudakov D.M.
Response to 'comment on rigorous benchmarking of T cell receptor repertoire profiling methods for cancer RNA sequencing' by Davydov A.N.; Bolotin D.A.; Poslavsky S. V. and Chudakov D.M.
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对davydov A.N.的T细胞受体库库分析方法的严格基准测试方法的评论的回应; Bolotin D.A。; Poslavsky S. V.和Chudakov D.M.
DOI:
10.1093/bib/bbad355
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发表时间:
2023-09-22
影响因子:
9.5
通讯作者:
中科院分区:
文献类型:
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作者:
Huang et al. reply: Davydov et al. discuss potential pitfalls in the publication ‘Rigorous benchmarking of T cell receptor repertoire profiling methods for cancer RNA sequencing’. Below, we clarified and demonstrated that conclusions cannot be drawn on the basis of their response. Davydov et al. highlighted that our comparison of tools like CATT, TRUST4, and ImRep—which do not consider Phred nucleotide quality in their analyses—against MiXCR was not fully standardized. They suggested that to ensure a fair comparison, the quality filter in MiXCR should also be disabled. We acknowledge the valuable suggestion from the Davydov et al. group regarding the implementation of Phred nucleotide quality filters on the reads before executing MIXCR. However, our primary objective in this publication is to faithfully replicate the typical workflow employed by scientific researchers when utilizing computational tools. Consequently, it would be inequitable to omit the default command when applying various bioinformatics tools to the identical set of samples. Consequently, we opted to employ uniform default criteria across all tools, executing each tool with its default settings.Furthermore, Davydov et al. pinpointed a specific issue related to clonotype abundance calculation in version 1.0. 2 of TRUST4. We certainly appreciate the concerns raised by the Davydov et al. group regarding a potential bug in version 1.0. 2 of TRUST4 that might affect clonotype abundance calculations. It’s crucial to maintain the highest standards of data integrity, and we take such observations seriously. However, it’s important to note that the version of TRUST4 used in our study was the version available at the time we were preparing and conducting our analyses for publication. Therefore, our methodology was in accordance with best practices available at that time. Davydov et al. pointed out that our evaluation of immune repertoire extraction tools focused solely on quantitative metrics,