multiStringTie: a multi-sample transcriptome assembler

   October 01, 2021 - Present

   Baltimore, MD

   Center of Computational Biology, Johns Hopkins University

   PhD Student

   In progress

     Mihaele Pertea      Steven Salzberg  

  Introduction

I am developing a multi-sample assembler upon StringTie, the state-of-the-art transcriptome assembler, aiming to construct a more precise gene catalog by taking advantage of the complementarity and redundancy of multiple samples. multiStringTie infers transcripts from “universal splicing graphs”, multi-samplewise-refined directed splicing graphs representing gene loci, to achieve better sensitivity-precision tradeoff.