BIO 2012 - ACM-SAC 2012 CONFERENCE TRACK ON BIOINFORMATICS AND COMPUTATIONAL SYSTEMS BIOLOGY (BIO)

Website oldwww.acm.org/conferences/sac/sac2012/ | Edit Freely

Category BIO 2012

Deadline: August 31, 2011 | Date: March 25, 2012-March 29, 2012

Venue/Country: Trento, Italy

Updated: 2011-05-19 05:45:42 (GMT+9)

Call For Papers - CFP

TRACK DESCRIPTION

The track aims at proposing a multi-sides perspective to computational biology, bioinformatics and theoretical systems biology. All these three areas involve the development and application of analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological sciences. Currently, the field of application of mathematical and computer science investigation methods to the life sciences is not limited to theoretical modeling in biochemistry, molecular biology and epidemiological biomathematics. Now bioinformatics and computational biology extend also to larger scale systems like ecological systems and include more applicative fields such as pharmacology, medicine, clinical trials design, healthcare and environment. Three ad-hoc topics are added to the more traditional topics of Bio-Track of ACM. These topics are: (i) stochastic ecosystem models, (ii) parallel interacting processes in ecology and (iii) hierarchical modeling at several organizational levels (show/hide more details).

CONFERENCE TRACK TOPICS

Papers are solicited in, but not limited to the following areas:

Algebraic Biology

Bio-ontologies

Bioinformatics for diseases

Biological data quality and data cleaning

Biological data sharing and update propagation

Biological metadata management

Comparative genomics

Computational genomics

Computational systems biology

(show/hide more topics)

Data visualization and visual analytics

Databases and data Integration

Databases and ontologies

DNA assembly, clustering and mapping

Drug design

Drug targeting

Errors and inconsistencies in biological databases

Evolution and phylogenetics

Gene expression and regulation from microarray data

Gene identification and annotation

Gene networks

Genomes and protein analysis

High-performance bio-computing

In silico clinical trials

Integrative approaches for drug design

Biological network inference

Integrative data and text mining approaches

Laboratory information management systems in biology

Machine learning and data integration in life sciences

Mining integrated life sciences data

Model driven analysis of biological systems

Molecular databases and data warehouses

Molecular modeling and simulation

Molecular sequence analysis

Network analysis

Parallel architectures and algorithms for biological applications

Pathways, networks, systems biology

Pattern discovery and classification

Pharmacokinetics/pharmacodynamics modeling

Phylogeny reconstruction algorithms

Population genetics

Prediction and integration of metabolic and regulatory networks

Protein, RNA and DNA structure and function

Protein interactions and molecular networks

Protein structure prediction and modeling

Protein-protein interactions

Proteomics

Quality and consistency of biological ontologies

Query processing and optimization for biological data

Recognition of genes and regulatory elements

RNA and protein structure prediction

Semantic web for the life sciences

Sequence analysis and alignment

Sequence assembly

SNPs and haplotyping

Stochastic ecosystem models

Parallel and interacting processes in ecology

Hierarchical modeling at several organizational levels

Structural and functional genomics

Structural bioinformatics

System biology and modeling

System prototypes for biology

Text mining

Therapeutic targets discovery

Tool integration and workflow systems

Transcriptomics

Virtual cell