Short Term Training on Fish Genomic and Proteomic Data Analysis High Throughput Computing
November 19-24, 2015
Centre of Agricultural Bioinformatics (CABin)
Indian Agricultural Statistics Research Institute
Network Project on Agricultural Bioinformatics and Computational Biology
About Training Programme
The Whole Genome sequencing programme on the varied fish model organisms like Zebrafish, Fugu, Tetraodon, Medaka, Threespine stickleback, Atlantic salmon, Nile tilapia, Common carp, Grass carp and Elephant shark provided a vast array of genomic, transcriptomic and proteomic data that are now openly available in the Internet domain. Invention and adaptation of Next Generation sequencing technologies have revolutionized the field of genomics and the data output has outpaced Moore's law—more than doubling each year thus transforming the way scientists think about the genetic information. Bioinformatics amalgamates the knowledge of computers, molecular biology statistics and mathematics to develop algorithms and software tools for analyzing biological data thus, helping to understand the basis of genetic variation, unique adaptations, target identification for drug discovery etc. In order to develop the human resources in the field of fish bioinformatics and provide the computational support to the researchers, the training programme was designed in such a fashion that it can cater the need of researchers of varied skills and disciplines. The programme aims to acquaint the researchers as well as educationists with different methods, software/ tools, statistical techniques used in the genomics, transcriptomics and proteomics data analysis along with hands on experience on the test data sets. The programme will also provide exposure to the participants to analyze genomics, transcriptomics and proteomics data using high performance super-computing facility equipped with proprietary software.
Objectives of the Training
u To acquaint partic ipants with different bioinformatics software/ tools available in the public domain as well as proprietary software like CLC Genomics and Discovery Studio.
u Genomic and Proteomic data analysis using High Throughput Computing resources and other bioinformatics software/ tools of the public domain.
Next Generation sequence data analysis
De novo assembly and annotation
Molecular modelling, docking and dynamics Meta analysis of Genomic and Proteomic data
Introduction to SAS and R Bioconductor
Scientists/ Researchers/ Faculty members from NARS system and conventional Universities working in the area of biological sciences and bioinformatics. Number of participants: 20 Last date for receipt of nomination: October 5, 2015. Intimation to selected candidates: October 15, 2015.