Transcriptome assembly from long-read RNA-seq alignments with StringTie2

By S. Kovaka, Aleksey V. Zimin, Geo Pertea, Roham Razaghi, Steven L. Salzberg, Mihaela Pertea. Genome Biology, 2019

1,681 citations recorded by the source corpus.

RNA sequencing using the latest single-molecule sequencing instruments produces reads that are thousands of nucleotides long. The ability to assemble these long reads can greatly improve the sensitivity of long-read analyses. Here we present StringTie2, a reference-guided transcriptome assembler that works with both short and long reads. StringTie2 includes new methods to handle the high error rate of long reads and offers the ability to work with full-length super-reads assembled from short reads, which further improves the quality of short-read assemblies. StringTie2 is more accurate and faster and uses less memory than all comparable short-read and long-read analysis tools.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/9e4310a109f0f2c672d75bdbc51328510a7e6d94

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

  1. Alaina Shumate
  2. Brandon Wong
  3. Mihaela Pertea
  4. Geo Pertea
  5. Yunhao Wang
  6. Yue Zhao
  7. Yuru Wang
  8. Audrey E. Bollas

Citations in the corpus