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  Events - October 2012


International Conference on Bioinformatics and Biomedicine (BIBM 2012)

04 Oct 2012 - 07 Oct 2013 - Philadelphia, USA



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It brings together academic and industrial scientists from computer science, biology, chemistry, medicine, mathematics and statistics.

We solicit high-quality original research papers (including significant work-in-progress) on any aspect of bioinformatics, biomedicine and healthcare informatics. New computational techniques and methods in machine learning; data mining; text analysis; pattern recognition; knowledge representation; databases; data modeling; combinatorics; stochastic modeling; string and graph algorithms; linguistic methods; robotics; constraint satisfaction; data visualization; parallel computation; data integration; modeling and simulation and their application in life science domain are especially encouraged. Relevant topics include but are not limited to:

 1. Genomics and Molecular Structure, Function and Evolution
     a. Next-Gen Sequencing and Metagenomics
     b. Evolution, Phylogeny, Comparative Genomics
     c. SNPs and haplotype analysis, GWAS
     d. Protein/RNA Structure, Function and Interactions

 2. Computational Systems Biology
     a. Transcriptomics - Microarray Data Analysis
     b. Gene Regulation, Alternative Splicing, Network/Pathway Analysis
     c. Proteomics, PTMs, Metabolomics
     d. Epigenomics, non-coding RNA analysis, DNA methylation analysis

 3. Medical Informatics and Translational Bioinformatics
     a. Biomedical Intelligence, Clinical Data Analysis, and Electronic Health Record
     b. Biomedical Signal/Image Analysis
     c. Genome-Phenome Analysis
     d. Biomarker Discovery

 4. Cross-Cutting Computational Methods and Bioinformatics Infrastructure
     a. Biomedical Text Mining and Ontologies
     b. Biological Data Mining and Visualization
     c. Computational Modeling and Data Integration
     d. High Performance Computing

5. Healthcare Informatics
     a. Healthcare knowledge representation & reasoning
     b. Health data acquisition, analysis and mining
     c. Healthcare information systems
     d. Clinical Decision Support and Informatics



Further information
Scientific News
Insight into Bacterial Resilience and Antibiotic Targets
Variant of CRISPR technology paired with computerized imaging reveals essential gene networks in bacteria.
Illuminating Hidden Gene Regulators
New super-resolution technique visualizes important role of short-lived enzyme clusters.
Genes That Increase Children's Risk Of Blood Infection Identified
A team led by Oxford University has identified genes that make certain children more susceptible to invasive bacterial infections by performing a large genome-wide association study in African children.
Poverty Marks a Gene, Predicting Depression
New study of high-risk teens reveals a biological pathway for depression.
World’s Largest Coral Gene Database
‘Genetic toolkit’ will help shed light on which species survive climate change.
Early Genetic Changes in Premalignant Colorectal Tissue Identified
Findings point to drivers of early cancer development, targets for cancer prevention therapies.
Scientists Find Evidence That Cancer Can Arise Changes
Researchers at Rockefeller University have found a mutation that affects the proteins that package DNA without changing the DNA itself can cause a rare form of cancer.
Modified Microalgae Converts Sunlight into Valuable Medicine
A special type of microalgae can soon produce valuable chemicals such as cancer treatment drugs and much more just by harnessing energy from the sun.
Breakthrough Approach to Breast Cancer Treatment
Scripps scientists have designed a drug candidate that decreases growth of breast cancer cells.
Loss Of Y Chromosome Increases Risk Of Alzheimer’s
Men with blood cells that do not carry the Y chromosome are at greater risk of being diagnosed with Alzheimer’s disease. This is in addition to an increased risk of death from other causes, including many cancers. These new findings by researchers at Uppsala University could lead to a simple test to identify those at risk of developing Alzheimer’s disease.
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