Nature Methods names epitranscriptome analysis method of the year 2016

Posted by: RNA-Seq Blog in Headlines, Publications, Review Publications January 24, 2017 3,318 Views

Method of the Year 2016

Our Method of the Year 2016 is epitranscriptome analysis. This Special Feature looks at recent methodological advances that enable transcriptome-wide profiling of RNA modifications and discusses potential for biological discovery. We also highlight Methods to Watch in the coming years.January 2017

Article \| 18 January 2017 Pooled CRISPR screening with single-cell transcriptome readout Paul Datlinger et al.	Article \| 23 January 2017 Single-cell mRNA quantification and differential analysis with Census Xiaojie Qiu et al.
Brief Communications \| 23 January 2017 High-fidelity mass analysis unveils heterogeneity in intact ribosomal particles Michiel van de Waterbeemd et al.	Brief Communications \| 23 January 2017 Optogenetic inhibition of behavior with anion channelrhodopsins Farhan Mohammad et al.

Article \| 18 January 2017 Pooled CRISPR screening with single-cell transcriptome readout Paul Datlinger et al.	Article \| 23 January 2017 Single-cell mRNA quantification and differential analysis with Census Xiaojie Qiu et al.
Brief Communications \| 23 January 2017 High-fidelity mass analysis unveils heterogeneity in intact ribosomal particles Michiel van de Waterbeemd et al.	Brief Communications \| 23 January 2017 Optogenetic inhibition of behavior with anion channelrhodopsins Farhan Mohammad et al.

RNA-Seq Blog Transcriptome Research & Industry News

Nature Methods names epitranscriptome analysis method of the year 2016

Method of the Year 2016

Article | 18 January 2017 Pooled CRISPR screening with single-cell transcriptome readout Paul Datlinger et al.

Article | 23 January 2017 Single-cell mRNA quantification and differential analysis with Census Xiaojie Qiu et al.

Brief Communications | 23 January 2017 High-fidelity mass analysis unveils heterogeneity in intact ribosomal particles Michiel van de Waterbeemd et al.

Brief Communications | 23 January 2017 Optogenetic inhibition of behavior with anion channelrhodopsins Farhan Mohammad et al.

Related Articles

Leave a Reply Cancel reply

A combined approach with gene-wise normalization improves the analysis of RNA-seq data in human breast cancer subtypes

scRNA-Seq reveals in situ transcriptome characteristics are lost following culture adaptation of adult cardiac stem cells

JUM – a computational method for comprehensive annotation-free analysis of alternative pre-mRNA splicing patterns

Along The Way – Combining RNA-Seq and Lineage Tracing to Map Developmental Lineage Trajectories

Interpretation of differential gene expression results of RNA-seq data

Featured RNA-Seq Job – Genomics and Bioinformatics

iMapSplice – Alleviating reference bias through personalized RNA-seq alignment

Researchers develop technique to measure the expression dynamics of each gene in a single cell