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

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).

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 include (but not limited to):

- 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

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.

Important Dates

chapter submission opens 2024-10-01 - 2025-04-01
chapter submission deadline 2024-04-01
chapter review notification 2025-05-01
final version deadline 2025-05-15

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

Sincerely,
Xingjian Chen, Yuchen Wang, Xiangtao Li, and Ka-Chun Wong

xingjchen3-c@my.cityu.edu.hk

https://xingjchen.com/
http://bioinfo.cs.cityu.edu.hk/
https://lixt314.github.io/BDCI.github.io///
http://www.cs.utoronto.ca/~wkc/