A memory-efficient algorithm to obtain splicing graphs and de novo expression estimates from de bruijn graphs of RNA-seq data Conference Paper uri icon

abstract

  • With the advance of high-throughput sequencing, it is feasible to study entire transcriptomes through the use of de novo sequence assembly algorithms. A popular strategy of these algorithms is to first construct an intermediate de Bruijn graph structure that represents the transcriptome. An additional step is performed to obtain predicted transcripts from the graph. 2013 IEEE.

name of conference

  • 2013 IEEE 3rd International Conference on Computational Advances in Bio and medical Sciences (ICCABS)

published proceedings

  • 2013 IEEE 3rd International Conference on Computational Advances in Bio and medical Sciences (ICCABS)

author list (cited authors)

  • Sze, S., & Tarone, A. M.

citation count

  • 0

complete list of authors

  • Sze, Sing-Hoi||Tarone, Aaron M

publication date

  • January 2013