An accessible, interactive GenePattern Notebook for analysis and exploration of single-cell transcriptomic data

Clarence K. Mah; Alexander T. Wenzel; Edwin F. Juarez; Thorin Tabor; Michael Reich; Jill P. Mesirov

doi:https://doi.org/10.12688/f1000research.15830.2

doi.org/10.12688/f1000research.15830.2

An accessible, interactive GenePattern Notebook for analysis and exploration of single-cell transcriptomic data

,

,

..., Jill P. Mesirov

74

F1000Research

Volume: 7, Pages: 1306 - 1306

Published: May 29, 2019

Abstract

Single-cell RNA sequencing (scRNA-seq) has emerged as a popular method to profile gene expression at the resolution of individual cells. While there have been methods and software specifically developed to analyze scRNA-seq data, they are most accessible to users who program. We have created a scRNA-seq clustering analysis GenePattern Notebook that provides an interactive, easy-to-use interface for data analysis and exploration of...

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Paper Details

Title

An accessible, interactive GenePattern Notebook for analysis and exploration of single-cell transcriptomic data

DOI

doi.org/10.12688/f1000research.15830.2

Published Date

May 29, 2019

Journal

F1000Research

Volume

7

Pages

1306 - 1306

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