Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database.
As single-cell RNA-sequencing (scRNA-seq) datasets have become more widespread the number of tools designed to analyse these data has dramatically increased. Navigating the vast sea of tools now available is becoming increasingly challenging for researchers. In order to better facilitate selection o...
Main Authors: | Luke Zappia, Belinda Phipson, Alicia Oshlack |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2018-06-01
|
Series: | PLoS Computational Biology |
Online Access: | https://doi.org/10.1371/journal.pcbi.1006245 |
Similar Items
-
Splatter: simulation of single-cell RNA sequencing data
by: Luke Zappia, et al.
Published: (2017-09-01) -
Gene length and detection bias in single cell RNA sequencing protocols [version 1; referees: 2 approved]
by: Belinda Phipson, et al.
Published: (2017-04-01) -
Single-Cell RNA Sequencing (scRNA-seq) in Cardiac Tissue: Applications and Limitations
by: Wang M, et al.
Published: (2021-10-01) -
Contrastive self-supervised clustering of scRNA-seq data
by: Ciortan, M., et al.
Published: (2021) -
Contrastive self-supervised clustering of scRNA-seq data
by: Madalina Ciortan, et al.
Published: (2021-05-01)