Author

Gurinder S Atwal

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Plant Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 2 Research Focus:clustering· 1 Research Focus:development & morphogenesis· 1 Organism:mouse· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Akitomo Nagashima· 1 shared James Hicks· 1 shared Jude Kendall· 1 shared Justin B Kinney· 1 shared Marja CP Timmermans· 1 shared Michael Schatz· 1 shared Michael Wigler· 1 shared Mitsuyasu Hasebe· 1 shared

Activity by Year

2015-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperPlant Biology

Akitomo Nagashima

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Learning quantitative sequence-function relationships from high-throughput biological data

Gurinder S Atwal, Justin B Kinney

The paper explores the relationship between likelihood-based and mutual information-based methods for learning sequence-function relationships from biological data, highlighting theoretical insights and implications for real data analysis.

Journal of Statistical Physics · Mar 1, 2016Peer-reviewedBioinformatics

Ancient trans-acting siRNAs Confer Robustness and Sensitivity onto the Auxin Response

Yevgeniy Plavskin, Akitomo Nagashima, Pierre-François Perroud, Mitsuyasu Hasebe, Ralph S Quatrano, Gurinder S Atwal, Marja CP Timmermans

The paper shows that ancient trans-acting siRNAs enhance auxin response sensitivity and robustness in moss, contributing to developmental flexibility and evolutionary cooption.

bioRxiv · Feb 1, 2016Plant Biology

Interactive analysis and quality assessment of single-cell copy-number variations

Tyler Garvin, Robert Aboukhalil, Jude Kendall, Timour Baslan, Gurinder S Atwal, James Hicks, Michael Wigler, Michael Schatz

The paper introduces Ginkgo, a web platform for analyzing and assessing single-cell copy-number variations, and validates it by reproducing results from five studies.

Nature Methods · Sep 7, 2015Peer-reviewedBioinformatics