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

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Link: https://easychair.org/conferences/?conf=dlgm2024
 
When Mar 1, 2024 - Dec 31, 2024
Where N/A
Submission Deadline Dec 31, 2024
Notification Due Jan 31, 2025
Final Version Due Feb 15, 2025
Categories    bioinformatics   computational biology   mathematical biology   machine learning
 

Call For Papers

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

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

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

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/

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