SAMSI-SAVI Workshop on Statistical Methods for Bioinformatics: December 12-14, 2013

This workshop, held in Bangalore, India, consisted of a series of one-hour lectures spanning a broad range of topics of current interest in statistical modeling, data analysis and inference in Bioinformatics. A wide range of topics of current use and interest in bioinformatics and more generally for biological data were presented. These included methods for analysis of micro array data, modeling for dynamics of mixtures, methods for differential methylation using next generation sequencing data, methods for analysis of gene networks and modeling and inference for circadian and directional data. The workshop also touched on themes to be further developed during the SAMSI 2014-15 "Beyond Bioinformatics" research program.

Invited Speakers from the USA

Naomi Altman, Pennsylvania State University
“Data Obesity: Inflated Estimation and Irreproducible Results with High Throughput Data”

Varghese George, Georgia Regents University
"Methods for Differential Methylation with Next Generation Sequencing"

Susan Holmes, Stanford University
“The Many Sides of the Human Microbiome: Combining Heterogeneous Data in Meaningful Ways”

Paul Joyce, University of Idaho
“The Role of Statistics in the Theory of Adaptive Evolution Informed by Experimental Data”

Olga Vitek, Purdue University
"Statistical methods for quantitative mass spectrometry-based proteomics"

Contributed Papers

Malay Bhattacharyya, University of Kalyani
"MicroRNA Signatures Distinguish Breast Cancer Subtypes?"

International Coordinators: Snehalata Huzurbazar, SAMSI, USA and Ashis SenGupta, ISI, India

SCHEDULE

WORKSHOP POSTER

Please see the workshop web site for more details: http://math.iisc.ernet.in/~vimss/workshop.php