New Results
A like-for-like comparison of lightweight-mapping pipelines for single-cell RNA-seq data pre-processing
View ORCID ProfileMohsen Zakeri, View ORCID ProfileAvi Srivastava, View ORCID ProfileHirak Sarkar, View ORCID ProfileRob Patro
doi: https://doi.org/10.1101/2021.02.10.430656
Mohsen Zakeri
1Department of Computer Science and Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA
Avi Srivastava
2New York Genome Center and NYU Center for Genomics and Systems Biology, New York City, NY, USA
Hirak Sarkar
3Harvard Medical School, Boston, Massachusetts, USA
Rob Patro
1Department of Computer Science and Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD, USA
Article usage
Posted February 11, 2021.
A like-for-like comparison of lightweight-mapping pipelines for single-cell RNA-seq data pre-processing
Mohsen Zakeri, Avi Srivastava, Hirak Sarkar, Rob Patro
bioRxiv 2021.02.10.430656; doi: https://doi.org/10.1101/2021.02.10.430656
Subject Area
Subject Areas
- Biochemistry (11745)
- Bioengineering (8752)
- Bioinformatics (29200)
- Biophysics (14972)
- Cancer Biology (12096)
- Cell Biology (17411)
- Clinical Trials (138)
- Developmental Biology (9421)
- Ecology (14182)
- Epidemiology (2067)
- Evolutionary Biology (18308)
- Genetics (12245)
- Genomics (16803)
- Immunology (11869)
- Microbiology (28085)
- Molecular Biology (11592)
- Neuroscience (60969)
- Paleontology (451)
- Pathology (1871)
- Pharmacology and Toxicology (3238)
- Physiology (4959)
- Plant Biology (10427)
- Synthetic Biology (2885)
- Systems Biology (7340)
- Zoology (1651)