A Beginner's Guide to Analysis of RNA Sequencing Data.
In: American journal of respiratory cell and molecular biology, Jg. 59 (2018-08-01), Heft 2, S. 145-157
Online
academicJournal
Zugriff:
Since the first publications coining the term RNA-seq (RNA sequencing) appeared in 2008, the number of publications containing RNA-seq data has grown exponentially, hitting an all-time high of 2,808 publications in 2016 (PubMed). With this wealth of RNA-seq data being generated, it is a challenge to extract maximal meaning from these datasets, and without the appropriate skills and background, there is risk of misinterpretation of these data. However, a general understanding of the principles underlying each step of RNA-seq data analysis allows investigators without a background in programming and bioinformatics to critically analyze their own datasets as well as published data. Our goals in the present review are to break down the steps of a typical RNA-seq analysis and to highlight the pitfalls and checkpoints along the way that are vital for bench scientists and biomedical researchers performing experiments that use RNA-seq.
Titel: |
A Beginner's Guide to Analysis of RNA Sequencing Data.
|
---|---|
Autor/in / Beteiligte Person: | Koch, CM ; Chiu, SF ; Akbarpour, M ; Bharat, A ; Ridge, KM ; Bartom, ET ; Winter, DR |
Link: | |
Zeitschrift: | American journal of respiratory cell and molecular biology, Jg. 59 (2018-08-01), Heft 2, S. 145-157 |
Veröffentlichung: | 2000- : New York, NY : American Thoracic Society ; <i>Original Publication</i>: [New York, NY : The Association, [c1989-, 2018 |
Medientyp: | academicJournal |
ISSN: | 1535-4989 (electronic) |
DOI: | 10.1165/rcmb.2017-0430TR |
Schlagwort: |
|
Sonstiges: |
|