Novel approaches for bioinformatic analysis of salivary RNA sequencing data for development | Zendy

Karolina Elżbieta KaczorUrbanowicz | Zendy; Yong Kim | Zendy; Feng Li | Zendy; Timur R. Galeev | Zendy; Rob R Kitchen | Zendy; Mark Gerstein | Zendy; Kikuye Koyano | Zendy; SungHee Jeong | Zendy; Xiaoyan Wang | Zendy; David Elashoff | Zendy; So Young Kang | Zendy; Su Mi Kim | Zendy; Kyoung Kim | Zendy; Sung Hoon Kim | Zendy; David Chia | Zendy; Xinshu Xiao | Zendy; Joel Rozowsky | Zendy; David T. Wong | Zendy

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Novel approaches for bioinformatic analysis of salivary RNA sequencing data for development

Author(s) -

Karolina Elżbieta KaczorUrbanowicz,

Yong Kim,

Feng Li,

Timur R. Galeev,

Rob R Kitchen,

Mark Gerstein,

Kikuye Koyano,

SungHee Jeong,

Xiaoyan Wang,

David Elashoff,

So Young Kang,

Su Mi Kim,

Kyoung Kim,

Sung Hoon Kim,

David Chia,

Xinshu Xiao,

Joel Rozowsky,

David T. Wong

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx504

Subject(s) - computational biology , genome , small rna , biology , rna , human genome , rna seq , computer science , genetics , transcriptome , gene , gene expression

Analysis of RNA sequencing (RNA-Seq) data in human saliva is challenging. Lack of standardization and unification of the bioinformatic procedures undermines saliva's diagnostic potential. Thus, it motivated us to perform this study.

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