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