DLGM 2024 : Call For Book Chapters 2024: Deep Learning in Genome Mapping, CRC Press (Taylor & Francis Group)

We would like to invite you to contribute a book chapter for our upcoming volume entitled “Deep Learning in Genome Mapping” to be published by CRC Press (Taylor & Francis Group). The volume will be available both in print and in ebook format by late 2024/early 2025 on Science Publishers (USA), an imprint of CRC Press (Taylor & Francis Group).

Submission Guidelines

The goal of this volume is to summarize the state-of-the-art methods in computational biology and bioinformatics methods in genome mapping. Topics of interest are listed below (but not limited to). Each contributed chapter is expected to present a novel research study, a comparative study, or a survey of the literature. Note that there will be no publication fees for accepted chapters.

All submissions should be done via EasyChair:

https://easychair.org/conferences/?conf=dlgm2024

We accept both Latex and Word submissions.

Guideline: https://www.springer.com/gp/authors-editors/book-authors-editors/your-publication-journey/manuscript-preparation

Latex template: https://www.springernature.com/gp/authors/campaigns/latex-author-support#c17590910

Sample book: https://www.routledge.com/Computational-Biology-and-Bioinformatics-Gene-Regulation/Wong/p/book/9780367782979

List of Topics

• Sequence Analysis
• Pattern Recognition for Genome Mapping
• Next-Generation Sequencing and Multi-Omics Integration
• SNPs and GWAS
• Protein/RNA Structure, Function and Interactions
• Genome Annotation and Analysis
• Structural Bioinformatics
• Gene Expression
• Machine Learning in Systems Biology
• Network Analysis
• Generative Model for Genome Mapping
• Biological Data Mining
• Big Data Analytics for Genome Mapping
• Visualization

Publication Details

Important Dates

abstract submission opens 2024-03-01 - 2024-12-31

abstract editorial notification 2024-03-01 - 2024-12-31

chapter submission deadline 2024-12-31

chapter review notification 2025-01-31

final version deadline 2025-02-15

Contact Information

Dr. Xingjian Chen, MGH/Harvard Medical School (xingjchen3c@my.cityu.edu.hk, https://xingjchen.com/)

Miss. Yuchen Wang, City University of Hong Kong (http://bioinfo.cs.cityu.edu.hk/)

Prof. Xiangtao Li, Jilin University (https://lixt314.github.io/BDCI.github.io///)

Prof. Ka-Chun Wong, City University of Hong Kong (http://www.cs.utoronto.ca/~wkc/)