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/.
CITATION STYLE
Liu, J., Yu, T., Mu, Z., & Li, G. (2019). TransLiG: A de novo transcriptome assembler that uses line graph iteration. Genome Biology, 20(1). https://doi.org/10.1186/s13059-019-1690-7
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