Int'l Conference on Bioinformatics and Intelligent Computing (BIC 2022)

Int'l Conference on Bioinformatics and Intelligent Computing (BIC 2022)

Conference Date: May 27-29, 2022
Conference Venue: Xi'an, China
Website: www.maymeeting.org/conference/BIC2022
Online Registration System: https://www.maymeeting.org/RegistrationSubmission/default.aspx?ConferenceID=1474
Email: [email protected]

Int'l Conference on Bioinformatics and Intelligent Computing (BIC 2022) will be held in Xi'an, China, during May 27-29, 2022. The aim of BIC is to provide a stage for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Structural Bioinformatics, Genome and Epigenome,Biostatistics, etc. BIC 2022 will be a valuable and important platform for inspiring international and interdisciplinary exchange at the forefront of Bioinformatics and Intelligent Computing. 

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: Open Access Journal，please contact us for detailed information
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: [email protected]
Tel: +86 132 6470 2250 (From Monday to Friday)
QQ: 1349406763 
WeChat: 3025797047
Official Account: Academic Communications

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