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Short paired-end reads trump long single-end reads for expression analysis

BACKGROUND: Typical experimental design advice for expression analyses using RNA-seq generally assumes that single-end reads provide robust gene-level expression estimates in a cost-effective manner, and that the additional benefits obtained from paired-end sequencing are not worth the additional co...

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書誌詳細
出版年:BMC Bioinformatics
主要な著者: Freedman, Adam H., Gaspar, John M., Sackton, Timothy B.
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2020
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7168855/
https://ncbi.nlm.nih.gov/pubmed/32306895
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-3484-z
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