Integrated Computational Pipeline for Single-Cell Genomic Profiling | Zendy

Lubomir Chorbadjiev | Zendy; Jude Kendall | Zendy; Joan Alexander | Zendy; Viacheslav Zhygulin | Zendy; Junyan Song | Zendy; Michael Wigler | Zendy; Alexander Krasnitz | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Integrated Computational Pipeline for Single-Cell Genomic Profiling

Author(s) -

Lubomir Chorbadjiev,

Jude Kendall,

Joan Alexander,

Viacheslav Zhygulin,

Junyan Song,

Michael Wigler,

Alexander Krasnitz

Publication year - 2020

Publication title -

jco clinical cancer informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.188

H-Index - 12

ISSN - 2473-4276

DOI - 10.1200/cci.19.00171

Subject(s) - computer science , computational biology , python (programming language) , genomics , software , profiling (computer programming) , documentation , zoom , graphical user interface , genome browser , genome , pipeline (software) , visualization , biology , data mining , operating system , genetics , gene , paleontology , lens (geology)

Copy-number profiling of multiple individual cells from sparse sequencing may be used to reveal a detailed picture of genomic heterogeneity and clonal organization in a tissue biopsy specimen. We sought to provide a comprehensive computational pipeline for single-cell genomics, to facilitate adoption of this molecular technology for basic and translational research.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research