跳到主要导航 跳到搜索 跳到主要内容

QuaPra: Efficient transcript assembly and quantification using quadratic programming with Apriori algorithm

  • Xiangjun Ji
  • , Weida Tong
  • , Baitang Ning
  • , Christopher E. Mason
  • , David P. Kreil
  • , Pawel P. Labaj
  • , Geng Chen*
  • , Tieliu Shi
  • *此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

RNA sequencing (RNA-seq) has greatly facilitated the exploring of transcriptome landscape for diverse organisms. However, transcriptome reconstruction is still challenging due to various limitations of current tools and sequencing technologies. Here, we introduce an efficient tool, QuaPra (Quadratic Programming combined with Apriori), for accurate transcriptome assembly and quantification. QuaPra could detect at least 26.5% more low abundance (0.1–1 FPKM) transcripts with over 2.1% increase of sensitivity and precision on simulated data compared to other currently popular tools. Moreover, around one-quarter more known transcripts were correctly assembled by QuaPra than other assemblers on real sequencing data. QuaPra is freely available at https://doi.org/www.megabionet.org/QuaPra/.

源语言英语
页(从-至)937-946
页数10
期刊Science China Life Sciences
62
7
DOI
出版状态已出版 - 1 7月 2019

指纹

探究 'QuaPra: Efficient transcript assembly and quantification using quadratic programming with Apriori algorithm' 的科研主题。它们共同构成独一无二的指纹。

引用此