New Results
CellView: Interactive exploration of high dimensional single cell RNA-seq data
Mohan T. Bolisetty, Michael L. Stitzel, Paul Robson
doi: https://doi.org/10.1101/123810
Mohan T. Bolisetty
1The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06032, USA;
Michael L. Stitzel
1The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06032, USA;
2Institute for Systems Genomics, University of Connecticut, Farmington, Connecticut 06032, USA;
3Department of Genetics & Genome Sciences, University of Connecticut, Farmington, Connecticut 06032, USA.
Paul Robson
1The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut 06032, USA;
2Institute for Systems Genomics, University of Connecticut, Farmington, Connecticut 06032, USA;
3Department of Genetics & Genome Sciences, University of Connecticut, Farmington, Connecticut 06032, USA.

Article usage
Posted April 04, 2017.
CellView: Interactive exploration of high dimensional single cell RNA-seq data
Mohan T. Bolisetty, Michael L. Stitzel, Paul Robson
bioRxiv 123810; doi: https://doi.org/10.1101/123810
Subject Area
Subject Areas
- Biochemistry (8784)
- Bioengineering (6490)
- Bioinformatics (23377)
- Biophysics (11761)
- Cancer Biology (9164)
- Cell Biology (13267)
- Clinical Trials (138)
- Developmental Biology (7420)
- Ecology (11380)
- Epidemiology (2066)
- Evolutionary Biology (15110)
- Genetics (10408)
- Genomics (14017)
- Immunology (9133)
- Microbiology (22086)
- Molecular Biology (8792)
- Neuroscience (47417)
- Paleontology (350)
- Pathology (1421)
- Pharmacology and Toxicology (2483)
- Physiology (3710)
- Plant Biology (8060)
- Synthetic Biology (2213)
- Systems Biology (6019)
- Zoology (1251)