4.5 Article

TransLiG: a de novo transcriptome assembler that uses line graph iteration

期刊

GENOME BIOLOGY
卷 20, 期 -, 页码 -

出版社

BMC
DOI: 10.1186/s13059-019-1690-7

关键词

RNA-seq data; Transcriptome assembly; Splicing graph; Line graph; Algorithm

资金

  1. National Natural Science Foundation of China [61801265, 61432010, 61771009]
  2. National Key Research and Development Program of China [2016YFB0201702]
  3. Natural Science Foundation of Shandong Province [ZR2018PA001]
  4. China Postdoctoral Science Foundation [2018 M632659]

向作者/读者索取更多资源

We present TransLiG, a new de novo transcriptome assembler, which is able to integrate the sequence depth and pair-end information into the assembling procedure by phasing paths and iteratively constructing line graphs starting from splicing graphs. TransLiG is shown to be significantly superior to all the salient de novo assemblers in both accuracy and computing resources when tested on artificial and real RNA-seq data. TransLiG is freely available at https://sourceforge.net/projects/transcriptomeassembly/files/.

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