Bioinformatics Tools (and Web Server) for Cancer Biomarker Development

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Editorial

20 October 2020

Editorial: Bioinformatics Tools (and Web Server) for Cancer Biomarker Development

Longxiang Xie

,

Liuyang Wang

,

Wan Zhu

,

Jing Zhao

and

Xiangqian Guo

4,910 views

3 citations

Editors

5

Henan University

Duke University

Stanford University

Henan University

Chongqing Medical University

Impact

About

Cancer causes more than 9.6 million deaths around the world each year. Despite novel therapeutic methods and improvements in clinical care in recent decades, cancer remains a significant public health burden. One of the difficulties in successful cancer treatment design is the tumor heterogeneity and lack of valid biomarkers to guide the prognosis and therapy.

With the advances in high-throughput (HTP) technologies such as gene microarray and next-generation sequencing, genomic, epigenomic and transcriptomic data of patients are available via public databases such as The Cancer Genome Atlas (TCGA), and Gene Expression Omnibus (GEO). These data sets are great resources that offer additional opportunities in biomarker discovery and validation. Unfortunately, their potential is not fully utilized as and analysis of stored information requires researchers to have a strong background in bioinformatics. Therefore, there is a need for user-friendly online tools and web servers providing such support for investigators involved in oncology biomarker discovery studies.

This Research Topic welcomes manuscripts that develop biomarker related tools, databases and web servers that assist clinical and basic science researchers in biomarker development and validation. Specifically, potential topics should include but are not limited to the following:
(1) Bioinformatics software/algorithms for cancer biomarker screening.
(2) Online tools/web servers for convenient cancer biomarker test and validation.
(3) Databases for collecting and annotating cancer biomarkers.

We welcome Original Research articles, Technology Reports, as well as Review articles.

Cancer causes more than 9.6 million deaths around the world each year. Despite novel therapeutic methods and improvements in clinical care in recent decades, cancer remains a significant public health burden. One of the difficulties in successful cancer treatment design is the tumor heterogeneity and lack of valid biomarkers to guide the prognosis and therapy.

With the advances in high-throughput (HTP) technologies such as gene microarray and next-generation sequencing, genomic, epigenomic and transcriptomic data of patients are available via public databases such as The Cancer Genome Atlas (TCGA), and Gene Expression Omnibus (GEO). These data sets are great resources that offer additional opportunities in biomarker discovery and validation. Unfortunately, their potential is not fully utilized as and analysis of stored information requires researchers to have a strong background in bioinformatics. Therefore, there is a need for user-friendly online tools and web servers providing such support for investigators involved in oncology biomarker discovery studies.

This Research Topic welcomes manuscripts that develop biomarker related tools, databases and web servers that assist clinical and basic science researchers in biomarker development and validation. Specifically, potential topics should include but are not limited to the following:
(1) Bioinformatics software/algorithms for cancer biomarker screening.
(2) Online tools/web servers for convenient cancer biomarker test and validation.
(3) Databases for collecting and annotating cancer biomarkers.

We welcome Original Research articles, Technology Reports, as well as Review articles.

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Editors

Henan University

Duke University

Stanford University

Henan University

Chongqing Medical University

Impact

123,739 Total views

82,170 Article views

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6,270 Topic views

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Frontiers in Oncology

Cancer Genetics

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Frontiers in Genetics

Computational Genomics, Cancer Genetics

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Frontiers in Plant Science

Computational Genomics

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Frontiers in Bioengineering and Biotechnology

Computational Genomics

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