BIOCOMP'18 - The 19th Int'l Conf on Bioinformatics & Computational Biology

by admin last modified Feb 03, 2018 01:42 PM
BICOMP is an international conference that serves researchers, scholars, professionals, students, and academicians who are looking to both foster working relationships and gain access to the latest research results. It is being held jointly (same location and dates) with a number of other research conferences; namely, The 2018 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE'18)

Bioinformatics & Computational Biology

Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. Computational Biology involves the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological, behavioral, and social systems.

The conference is composed of a number of tracks, tutorials, sessions, workshops, poster and panel discussions; it will be held simultaneously with other conferences at the same location on July 30-August 02, 2018 in Las Vegas, Nevada, USA.

You are invited to submit a paper for consideration. All accepted papers will be published in printed conference books/proceedings (each with a unique international ISBN number) and will also be made available online. The proceedings will be indexed in science citation databases that track citation frequency/data.

In addition, like prior years, extended versions of selected papers (about 40%) will appear in journals and edited research books; publishers include, Springer, Elsevier, BMC, and others). See the web link below for a small subset of such publications: (some of these books and journal special issues have already received the top 25% downloads in their respective fields and/or identified as "Highly Accessed" by publishers and/or science citation index trackers.)  Click here for more details ... 

Topics of interest include, but are not limited to, the following:

  • Bioinformatics and Big Data
  • Big Data in genomics and cancer research
  • Microarrays
  • Bioinformatics and new cloud resources
  • Molecular dynamics and simulation; Molecular interactions
  • Molecular sequence classification, alignment and assembly
  • Molecular sequence and structure databases
  • Computational Systems Biology
  • Gene regulation
  • Gene pattern discovery and identification
  • Gene expression analysis; Gene expression databases
  • Genetic network modeling and inference
  • Comparative genomics
  • Evolution of regulatory genomic sequences
  • RNA and DNA structure and sequencing
  • Biomedical engineering
  • Combinatorics and bioinformatics
  • Biological data mining and knowledge discovery
  • Biological databases and information retrieval
  • Bio-ontologies + semantics
  • Biological data integration and visualization
  • Image processing in medicine and biological sciences
  • Pattern classification and recognition
  • Sequence analysis and alignment
  • Informatics and Statistics in Biopharmaceutical Research
  • Software tools and methods for computational biology and bioinformatics
  • Protein modeling
  • Proteomics; Protein folding and fold recognition
  • Metabolic modeling and pathways
  • Evolution and phylogenetics
  • Macromolecular structure prediction
  • Medical informatics
  • Epidemic models
  • Structural and functional genomics
  • Amino acid sequencing
  • Stochastic modeling
  • Cheminformatics
  • Computational drug discovery and experimental medicine
  • Cancer informatics
  • Experimental studies and results
  • Application of computational intelligence in drug design
  • High-performance computing and applications in biology
  • Computer-based medical systems (automation in medicine, ...) 
  • Other aspects & applications relating to technological advancements in medicine & biological sciences & emerging roadmaps.
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