Comparison of alternative approaches for analysing multi-level RNA-seq data.
RNA sequencing (RNA-seq) is widely used for RNA quantification in the environmental, biological and medical sciences. It enables the description of genome-wide patterns of expression and the identification of regulatory interactions and networks. The aim of RNA-seq data analyses is to achieve rigoro...
Saved in:
| Main Authors: | Irina Mohorianu, Amanda Bretman, Damian T Smith, Emily K Fowler, Tamas Dalmay, Tracey Chapman |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2017-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0182694&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Ribo-seq and RNA-seq analyses enrich the regulatory network of tomato fruit cracking
by: Zhaojiang Zhong, et al.
Published: (2024-12-01) -
Exploring the utility of snRNA-seq in profiling human bladder tissue: A comprehensive comparison with scRNA-seq
by: Briana Santo, et al.
Published: (2025-01-01) -
Integrating bulk RNA-seq and scRNA-seq analyses with machine learning to predict platinum response and prognosis in ovarian cancer
by: Tingting Gao, et al.
Published: (2025-05-01) -
New insights into the efficient secretion of foreign protein in Bacillus subtilis via Ribo-seq and RNA-seq integrative analyses
by: Huabiao Miao, et al.
Published: (2024-12-01) -
Bayesian-frequentist hybrid inference framework for single cell RNA-seq analyses
by: Gang Han, et al.
Published: (2024-06-01)