Next-Generation Analytics for Omics Data

Jun Li; Hu Chen; Yumeng Wang; Mei Ju May Chen; Han Liang

doi:10.1016/j.ccell.2020.09.002

Next-Generation Analytics for Omics Data

Jun Li, Hu Chen, Yumeng Wang, Mei Ju May Chen, Han Liang

Bioinformatics & Computational Biology

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Abstract

The increasing omics data present a daunting informatics challenge. DrBioRight, a natural language-oriented and artificial intelligence-driven analytics platform, enables the broad research community to perform analysis in an intuitive, efficient, transparent, and collaborative way. The emerging next-generation analytics will maximize the utility of omics data and lead to a new paradigm for biomedical research.

Original language	English (US)
Pages (from-to)	3-6
Number of pages	4
Journal	Cancer cell
Volume	39
Issue number	1
DOIs	https://doi.org/10.1016/j.ccell.2020.09.002
State	Published - Jan 11 2021

ASJC Scopus subject areas

Oncology
Cell Biology
Cancer Research

MD Anderson CCSG core facilities

Bioinformatics Shared Resource

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10.1016/j.ccell.2020.09.002

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title = "Next-Generation Analytics for Omics Data",

abstract = "The increasing omics data present a daunting informatics challenge. DrBioRight, a natural language-oriented and artificial intelligence-driven analytics platform, enables the broad research community to perform analysis in an intuitive, efficient, transparent, and collaborative way. The emerging next-generation analytics will maximize the utility of omics data and lead to a new paradigm for biomedical research.",

author = "Jun Li and Hu Chen and Yumeng Wang and Chen, {Mei Ju May} and Han Liang",

note = "Funding Information: We thank K. Mojumdar for editorial assistance. This work was supported by the US NIH ( U24CA209851 , U01CA217842 , and P50CA221703 , H.L.; and P30CA016672 ), an MD Anderson Faculty Scholar Award (H.L.), and the Lorraine Dell Program in Bioinformatics for Personalization of Cancer Medicine (H.L.). Publisher Copyright: {\textcopyright} 2020 Elsevier Inc.",

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doi = "10.1016/j.ccell.2020.09.002",

language = "English (US)",

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AU - Li, Jun

AU - Chen, Hu

AU - Wang, Yumeng

AU - Chen, Mei Ju May

AU - Liang, Han

N1 - Funding Information: We thank K. Mojumdar for editorial assistance. This work was supported by the US NIH ( U24CA209851 , U01CA217842 , and P50CA221703 , H.L.; and P30CA016672 ), an MD Anderson Faculty Scholar Award (H.L.), and the Lorraine Dell Program in Bioinformatics for Personalization of Cancer Medicine (H.L.). Publisher Copyright: © 2020 Elsevier Inc.

PY - 2021/1/11

Y1 - 2021/1/11

N2 - The increasing omics data present a daunting informatics challenge. DrBioRight, a natural language-oriented and artificial intelligence-driven analytics platform, enables the broad research community to perform analysis in an intuitive, efficient, transparent, and collaborative way. The emerging next-generation analytics will maximize the utility of omics data and lead to a new paradigm for biomedical research.

AB - The increasing omics data present a daunting informatics challenge. DrBioRight, a natural language-oriented and artificial intelligence-driven analytics platform, enables the broad research community to perform analysis in an intuitive, efficient, transparent, and collaborative way. The emerging next-generation analytics will maximize the utility of omics data and lead to a new paradigm for biomedical research.

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Next-Generation Analytics for Omics Data

Abstract

ASJC Scopus subject areas

MD Anderson CCSG core facilities

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