Editorial: Methods for Single-Cell and Microbiome Sequencing Data

Himel Mallick; Lingling An; Mengjie Chen; Pei Wang; Ni Zhao

doi:10.3389/fgene.2022.920191

Editorial: Methods for Single-Cell and Microbiome Sequencing Data

Himel Mallick, Lingling An, Mengjie Chen, Pei Wang, Ni Zhao

Research output: Contribution to journal › Editorial

Original language	English
Article number	920191
Journal	Frontiers in Genetics
Volume	13
DOIs	https://doi.org/10.3389/fgene.2022.920191
State	Published - 13 May 2022

Keywords

biostatistics
computational biology
data science
microbiome
multi-omics
omics
single-cell
statistics

Access to Document

10.3389/fgene.2022.920191

Cite this

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title = "Editorial: Methods for Single-Cell and Microbiome Sequencing Data",

keywords = "biostatistics, computational biology, data science, microbiome, multi-omics, omics, single-cell, statistics",

author = "Himel Mallick and Lingling An and Mengjie Chen and Pei Wang and Ni Zhao",

note = "Funding Information: We thank the Frontiers editorial staff for providing outstanding assistance in putting together this Research Topic collection.",

year = "2022",

month = may,

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AU - An, Lingling

AU - Chen, Mengjie

AU - Wang, Pei

AU - Zhao, Ni

N1 - Funding Information: We thank the Frontiers editorial staff for providing outstanding assistance in putting together this Research Topic collection.

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KW - computational biology

KW - data science

KW - microbiome

KW - multi-omics

KW - omics

KW - single-cell

KW - statistics

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JO - Frontiers in Genetics

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