Information
Starts: 29.05.2021 08:30
Ends: 31.05.2021 18:30
Location:
Grand Link Hotel
Guilin, Guangxi Zhuangzu
China
Description

Int'l Conference on Bioinformatics and Intelligent Computing (BIC 2021)

Conference Date: May 29-31, 2021

Conference Venue: Guilin, China

Website: https://www.maymeeting.org/conference/BIC2021/

Online Registration:

https://www.maymeeting.org/RegistrationSubmission/default.aspx?ConferenceID=1355

Email Registration: wsconf5@163.com

Int'l Conference on Bioinformatics and Intelligent Computing (BIC 2021) will be held from May 29-31, 2021 in Guilin, China. BIC 2021 will cover issues on Structural Bioinformatics, Genome and Epigenome,Biostatistics, etc. It dedicates to creating a stage for exchanging the latest research results and sharing the advanced research methods.  

If you wish to serve the conference as an invited speaker, please send email to us with your CV. We'll contact with you asap.

Publication and Presentation

Publication: All the accepted papers will be published by a peer-reviewed open access journal that can ensure the widest dissemination of your published work, for more information, please contact us (wsconf5@163.com)
Index: CNKI and Google Scholar
Note: If you want to present your research results but do NOT wish to publish a paper, you may simply submit an Abstract to our Registration System.

Contact Us

Email: wsconf5@163.com (Seminar.Group@hotmail.com)
Tel: +86 13264702250
QQ: 1349406763 
WeChat: 3025797047
Twitter: conf_Committee

Attendance Methods

1. Submit full paper (Regular Attendance+Paper Publication+Presentation)
You are welcome to submit full paper, all the accepted papers will be published by Open access journal.
2. Submit abstract (Regular Attendance+Abstract+Presentation)
3. Regular Attendance (No Submission Required)

Conference Topics

Structural Bioinformatics
Systems Biology in Bioinformatics
Synthetic Biology
Genome and Epigenome
Metagenome and Metatranscriptome
Bioinformatics Algorithms & Databases
Biostatistics 
Big Data Processing in Biology 
Quantitative Biology
Artificial Life

 

 

 

 

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