Work

Supplementary data for: Detection of expressed mutations in acute myeloid leukemia cells using single cell RNA-sequencing

Year: 2019

Type: supplementary-materials

Abstract: Supplemental data for the publication: Detection of expressed mutations in acute myeloid leukemia cells using single cell RNA-sequencing Contents: - expression_matrices.tar - Gene/Barcode expression matrices from `cellranger count` - *.seurat.rds - R object files with Seurat analyses and data structures for each sample - scrna_mutations.tar.gz - copy of a git repository containing additional scripts and data - also hosted at https://github.com/genome/scrna_mutations (snapshot as of May 20, 2019)

Source: Figshare

DOI: 10.5281/zenodo.3066261

Authors: Petti, Allegra A, Williams, Stephen R, Miller, Christopher A, Fiddes, Ian T, Srivatsan, Sridhar N, Chen, David Y, Fronick, Catrina C, Fulton, Robert S, Church, Deanna M, Ley, Timothy J

Institutions: Washington University in St. Louis, 10X Genomics (United States)

Language: English

Topic: Acute Myeloid Leukemia Research

Subfield: Hematology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4394043513

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Related to: 10