Methods and Applications: Computational Genomics

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Guanglin Li

Shaanxi Normal University

Tao Huang

Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences (CAS)

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This Research Topic is part of the Methods and Applications in Genetics series.

Introduction and general guidelines
This series aims to highlight the latest techniques and methods used to investigate fundamental questions in computational genomics research. Review articles or Opinions on methodologies or applications, including the advantages and limitations of each, are welcome. This Topic includes technologies and up-to-date methods which help advance science.

The contributions to this collection will undergo peer review. Novelty may vary, but the utility of a method or protocol must be evident. We welcome contributions covering all aspects of genetics. Submissions will be handled by the team of Topic Editors in the respective sections.

This Research Topic welcomes:
• Methods: Describing either new or existing methods that are significantly improved or adapted for specific purposes. These manuscripts may include primary (original) data.
• Protocols: Detailed descriptions, including pitfalls and troubleshooting to benefit those who may evaluate or employ the techniques. The protocols must be proven to work.
• Applications: Describing new applications of either novel or existing methods.
• Perspective or General Commentaries on methods and protocols relevant for genetics research.
• Reviews and Mini Reviews of topical methods and protocols highlighting the important future directions of the field.
For more information on the description and formats of the different article types please see here.

Computational Genomics guidelines
Methods and Applications in Computational Genomics welcomes contributions on new or established methods and protocols at the interface between genomics, the quantitative sciences (such as mathematics, statistics, computer science) and engineering. This Research Topic aims to collect new evidence and perspectives in the fields of computational genomics, spanning levels of investigation from single genes to systems. The specific target will include data interpretation, technology and software development, and new analytical approaches and tools. Reviews, Methods manuscripts, and Original Research works are welcome, especially those that discuss new or improved algorithms, software, and online resources.

Quantitative analysis needs to be performed on a minimum number of 3 biological replicates in order to enable an assessment of significance and ensure depth of the analysis. This includes quantitative omics studies as well as phenotypic measurements, quantitative assays, and qPCR expression analysis. Studies that do not comply with these replication requirements will not be considered for review. Studies relating to the prediction of clinical outcome require some validation of findings. For more information about the scope of submissions, please see here..

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Editors

Guanglin Li

Shaanxi Normal University

Tao Huang

Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences (CAS)

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Published In

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