SuperCellCyto: enabling efficient analysis of large scale cytometry datasets.
Saved in:
| Title: | SuperCellCyto: enabling efficient analysis of large scale cytometry datasets. |
|---|---|
| Authors: | Putri GH; The Walter and Eliza Hall Institute of Medical Research and The Department of Medical Biology, The University of Melbourne, Parkville, VIC, Australia. putri.g@wehi.edu.au., Howitt G; Peter MacCallum Cancer Centre and The Sir Peter MacCallum, Department of Oncology, The University of Melbourne, Parkville, VIC, Australia., Marsh-Wakefield F; Centenary Institute of Cancer Medicine and Cell Biology, The University of Sydney, Sydney, NSW, Australia., Ashhurst TM; Sydney Cytometry Core Research Facility and School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia., Phipson B; The Walter and Eliza Hall Institute of Medical Research and The Department of Medical Biology, The University of Melbourne, Parkville, VIC, Australia. phipson.b@wehi.edu.au. |
| Source: | Genome biology [Genome Biol] 2024 Apr 08; Vol. 25 (1), pp. 89. Date of Electronic Publication: 2024 Apr 08. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100960660 Publication Model: Electronic Cited Medium: Internet ISSN: 1474-760X (Electronic) Linking ISSN: 14747596 NLM ISO Abbreviation: Genome Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1474-760X |
|---|---|
| DOI: | 10.1186/s13059-024-03229-3 |
