BACK


Journal of Computational Biology, Biotechnology and
Machine Learning
Copyright © 2000- American Scientific Publishers. All Rights Reserved.

AIMS AND SCOPE
Journal of Computational Biology, Biotechnology and Machine Learning (JCBML), publishes original research articles in the areas of computational biology, bioinformatics, biotechnology, machine learning, and the role of machine learning techniques and methods in integrating and interpreting the biological data sets. The journal specifically invites articles describing new biological insights based on primary or derives data. Today, with the increasing development of new diseases and new data sets, it is required to develop new methods specially to diagnose these diseases and new medicines to cure them. Biological data's and biomarker discovery contributes to better understanding of proteins and molecules structures and behaviors, and diagnose and cure diseases to a large degree. Machine learning techniques in biological data is an emerging area at the intersection between bioinformatics, biotechnology and machine learning. Journal of Computational Biology, Biotechnology and Machine Learning will devote to a new era of machine learning and applications of its methods in biomedical sciences and computational sciences. The primary goal of this journal is to exchange the latest fundamental advances in the state of the Computational Biology, Bioinformatics, Biotechnology and Machine Learning technologies in those ara. JCBML publishes new original full research papers, short communications, review papers, technical reports, case studies, conference proceedings, application notes, book reviews, and commentaries.

RESEARCH TOPICS COVERED (but not limited to):
Biological data pre-processing and cleaning, bioinformatics, biological data visualisation, biological data integration and management, phylogenetics, nucleic acids, molecular biology, physiology, biochemistry, biochemical engineering, medical biotechnology, agro- and food biotechnology, genomics, biomedical ontologies construction, management, microarray data analysis protein, rna structure prediction, genomics and proteomics, drug design, biomedical literature, data mining, modelling of biomolecular pathways, whole, multiple genome comparison, systems biology and pathways, biological data curation, fundamentals of biomarker discovery, bioprocess engineering, industrial processes, new products, computational biomarker discovery in proteomics, methodologies for genome-wide association studies, biological network analysis, network-based and pathway, mathematical methods for diagnostic classifiers, computational techniques for patient cohort stratification and segmentation, cancer biology, cell biology, immunology, infectious diseases, microbiology, molecular biology, tissue engineering, transplantation, data mining in biology, computer techniques in biology, biomarker discovery.

Authors will receive the following benefits:
  • Electronic submission of articles
  • On-line refereeing of all articles submitted in electronic form
  • Fast reviews
  • Rapid times to publication
  • Free color where justified
  • Distinguished editorial board
  • Journal's availability in print and online editions
MANUSCRIPT SUBMISSION
Submit manuscript online to the Manuscript Tracking System
 
EDITORS-IN-CHIEF
Editors-in-Chief: Dr. Hamid Alinejad-Rokny and Dr. Mohammad Javad Rasaee

Website: www.aspbs.com/jcbml
 
Book for Review
Publications should be sent the Editorial Office.

Subscription
American Scientific Publishers
26650 The Old Road, Suite 208
Valencia, California 91381-0751, USA
Tel. (661) 799-7200
Fax: (661) 799-7230
Email: order@aspbs.com
 
Annual Subscription Rates (Print Edition)
2015 Volume 1
Institutional: US$ 500 (Domestic & Foreign Countries)
Postage and handling: $100 for USA and $200 for foreign countries
The publisher reserves the rights to refuse nonqualified subscriptions.
 
Web Edition
For subscription rates to Web Edition, please contact publisher.
American Scientific Publishers
26650 The Old Road, Suite 208
Valencia, California 91381-0751, USA
Tel. (661) 799-7200
Fax: (661) 799-7230
Email: order@aspbs.com
 
Advertising
American Scientific Publishers
26650 The Old Road, Suite 208
Valencia, California 91381-0751, USA
Tel. (661) 799-7200
Fax: (661) 799-7230
Email: order@aspbs.com
 
 
 

Terms and Conditions  Privacy Policy  Copyright © 2000- American Scientific Publishers. All Rights Reserved.