Author

Chad D. Sanada

Standard BioTools (United States)

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

Biology Disciplines

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Genomics· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Assay:CRISPR screen· 1 Research Focus:differential expression· 1 Organism:human· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Abhik GhoshiD· 1 shared Aditya Biswas· 1 shared Adrián Álvarez-VarelaiD· 1 shared Aik Teong OoiiD· 1 shared Aleksandar JanjiciD· 1 shared Andrea L. Halweg‐EdwardsiD· 1 shared Andrew D. GarstiD· 1 shared Atefeh LafziiD· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperGenomics

Abhik GhoshORCID

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Author profile →

3 papers

Recent·Most cited

A framework for evaluating edited cell libraries created by massively parallel genome engineering

Simon E. Cawley, Eric Abbate, Christopher G. Abraham, Steven Alvarez, Mathew Barber, Scott Bolte, Jocelyne Bruand, Deanna M. Church, Clint Davis, Matthew Estes, Stephen Federowicz, Richard J. Fox, Miles W. Gander, Andrew D. Garst, Gozde Gencer, , Michael S. Graige

The paper introduces a framework for evaluating edited cell libraries generated by genome engineering, defining metrics and connecting analysis to phenotyping approaches.

bioRxiv · Sep 23, 2021 · PreprintGenomics

ROSeq: Modeling expression ranks for noise-tolerantdifferential expression analysis of scRNA-Seq data

Krishan Gupta, Manan Lalit, Aditya Biswas, Chad D. Sanada, Cassandra Greene, Kyle W. Hukari, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Naveen Ramalingam, Gaurav Ahuja, Abhik Ghosh, Debarka Sengupta

ROSeq provides a robust differential expression analysis method for scRNA-seq data by modeling expression ranks, showing improved noise tolerance and scalability.

Genome Research · Apr 1, 2021Peer-reviewedGenomics

Benchmarking Single-Cell RNA Sequencing Protocols for Cell Atlas Projects

Elisabetta Mereu, Atefeh Lafzi, Cátia Moutinho, Christoph Ziegenhain, Davis James McCarthy, Adrián Álvarez-Varela, Eduard Batlle, Sagar, Dominic Grün, Julia K. Lau, Stéphane C. Boutet, Chad D. Sanada, Aik Teong Ooi, Robert C. Jones, Kelly A. Kaihara, , Holger Heyn

This study benchmarks 13 scRNA-seq protocols to evaluate their effectiveness in characterizing cell types and states for cell atlas projects.

Nature Biotechnology · Apr 6, 2020Peer-reviewedGenomics