Targeted transcriptome analysis using synthetic long read sequencing uncovers isoform reprograming in the progression of colon cancer
Silvia Liu et al. present LoopSeq, a synthetic long-read sequencing method that generates accurate long-read transcriptome data from short Illumina reads. As an example of possible applications, they use LoopSeq to investigate differential isoform expression, isoform-specific single nucleotide varia...
Enregistré dans:
Auteurs principaux: | Silvia Liu, Indira Wu, Yan-Ping Yu, Michael Balamotis, Baoguo Ren, Tuval Ben Yehezkel, Jian-Hua Luo |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/e1cb04e6a8a1480383f9180ac1ea8876 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Time course profiling of host cell response to herpesvirus infection using nanopore and synthetic long-read transcriptome sequencing
par: Zoltán Maróti, et autres
Publié: (2021) -
Long read, isoform aware sequencing of mouse nucleus accumbens after chronic cocaine treatment
par: Molly Estill, et autres
Publié: (2021) -
Comprehensive characterization of single-cell full-length isoforms in human and mouse with long-read sequencing
par: Luyi Tian, et autres
Publié: (2021) -
Integrative proteomics in prostate cancer uncovers robustness against genomic and transcriptomic aberrations during disease progression
par: Leena Latonen, et autres
Publié: (2018) -
Transcriptome analysis and prognosis of ALDH isoforms in human cancer
par: Peter Mu-Hsin Chang, et autres
Publié: (2018)