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Advanced filters: Author: Abhinav Nellore Clear advanced filters

Erratum: Cloud computing for genomic data analysis and collaboration

Ben Langmead
Abhinav Nellore
Amendments and Corrections12 Feb 2018
Nature Reviews Genetics

Volume: 19, P: 325
Reproducible RNA-seq analysis using recount2

Leonardo Collado-Torres
Abhinav Nellore
Jeffrey T Leek
Correspondence11 Apr 2017
Nature Biotechnology

Volume: 35, P: 319-321
Alternative splicing of MR1 regulates antigen presentation to MAIT cells

Gitanjali A. Narayanan
Abhinav Nellore
David M. Lewinsohn
ResearchOpen Access22 Sept 2020
Scientific Reports

Volume: 10, P: 1-17
ASCOT identifies key regulators of neuronal subtype-specific splicing

The increasing amount of raw RNA-seq data calls for new computational methods to mine information. Here, the authors present ASCOT, a computational resource to identify splice variants in RNA-seq data, and apply it to splicing patterns in neurons and unique splicing patterns in rod photoreceptors.

Jonathan P. Ling
Christopher Wilks
Seth Blackshaw
ResearchOpen Access09 Jan 2020
Nature Communications

Volume: 11, P: 1-12
Cloud computing for genomic data analysis and collaboration

Next-generation sequencing technologies have fuelled a rapid rise in data, which require vast computational resources to store and analyse. This Review discusses the role of cloud computing in genomics research to facilitate data sharing and new analyses of archived sequencing data, as well as large-scale international collaborations.

Ben Langmead
Abhinav Nellore
Reviews30 Jan 2018
Nature Reviews Genetics

Volume: 19, P: 208-219