Organized by Computational Biology Group, Rajiv Gandhi Centre for Biotechnology Bio Innovation Center

This workshop has been designed for students, researchers in early stage of their career as well as senior researchers/faculties with little or no programming experience. It would introduce the basic scripting skills which are important to analyze the biological data. This 6 day workshop started with basic UNIX commands, some practical topics in bioinformatics, lot of coding examples and end with group coding projects.

Organized by Computational Biology Group, Rajiv Gandhi Centre for Biotechnology Bio Innovation Center

This course is a consolidation of courses covering three major programmatic technologies used in bioinformatics. It teaches entry level bioinformaticians, and biologists how to leverage the Linux shell, Perl, Python, MySQL and various other open-source bioinformatics tools to perform computations in biological research and create information from data. Examples in this course use data from DNA and amino acid sequences, microarray profiles , and biological annotations.

Organized by Computational Biology Group, Rajiv Gandhi Centre for Biotechnology Bio Innovation Center

The current workshop span theoretical understanding of the evolution of signaling networks from individual molecular reactions and the integration of individual molecular reactions to build complex signaling networks. Further, this workshop also offer the introduction to tools and methods involved in the identification of protein-protein interactions, enzyme-substrate reactions, post-translational modifications, protein localization and expression of genes at the level of mRNAs, microRNAs and proteins. The practical sessions will introduce the development and visualization tools and hands-on training in the development of signaling pathways. Importantly, the practical sessions would also introduce the analysis of high-throughput data using open-access pathway analysis tools.

Organized by Computational Biology Group, Rajiv Gandhi Centre for Biotechnology Bio Innovation Center

This course is a consolidation of courses covering three major programmatic technologies used in bioinformatics. It teaches entry level bioinformaticians, and biologists how to leverage the Linux shell, Perl, Python, MySQL and various other open-source bioinformatics tools to perform computations in biological research and create information from data. Examples in this course use data from DNA and amino acid sequences, microarray profiles , and biological annotations.

Organized by Computational Biology Group, Rajiv Gandhi Centre for Biotechnology Bio Innovation Center

This course is a consolidation of courses covering three major programmatic technologies used in bioinformatics. It teaches entry level bioinformaticians, and biologists how to leverage the Linux shell, Perl, Python, MySQL and various other open-source bioinformatics tools to perform computations in biological research and create information from data. Examples in this course use data from DNA and amino acid sequences, microarray profiles , and biological annotations.

Organized by Computational Biology Group, Rajiv Gandhi Centre for Biotechnology Bio Innovation Center

The current workshop span theoretical understanding of the evolution of signaling networks from individual molecular reactions and the integration of individual molecular reactions to build complex signaling networks. Further, this workshop also offer the introduction to tools and methods involved in the identification of protein-protein interactions, enzyme-substrate reactions, post-translational modifications, protein localization and expression of genes at the level of mRNAs, microRNAs and proteins. The practical sessions will introduce the development and visualization tools and hands-on training in the development of signaling pathways. Importantly, the practical sessions would also introduce the analysis of high-throughput data using open-access pathway analysis tools.

Jointly Organized by Computational Biology Group, Rajiv Gandhi Centre for Biotechnology Bio Innovation Center with Broad Institute of MIT and Harvard University

The five-day workshop provided a strong foundation in proteogenomic analysis, integrating data from LC-MS/MS and NGS technologies. This workshop, presented an exciting agenda, with interactive lectures and case-studies, combined with hands-on sessions, to explore the challenges of cancer proteogenomics, and presents, new innovative ways to tackle them. The first part of the workshop covered the general principles of available genomics, proteomics, statistical data analysis and machine learning. The latter part of the workshop applied these principles and algorithms to the analysis of breast cancer data. Hands on exercises accompanied lectures throughout, and illustrate practical application to real-world data. The workshop included discussions and open exchange of ideas to foster scientific collaboration and promote adoption of methods in participants' home institutions.

Organized by Computational Biology Group, Rajiv Gandhi Centre for Biotechnology Bio Innovation Center

This course is a consolidation of courses covering three major programmatic technologies used in bioinformatics. It teaches entry level bioinformaticians, and biologists how to leverage the Linux shell, Perl, Python, MySQL and various other open-source bioinformatics tools to perform computations in biological research and create information from data. Examples in this course use data from DNA and amino acid sequences, microarray profiles , and biological annotations.

Organized by Computational Biology Group, Rajiv Gandhi Centre for Biotechnology Bio Innovation Center

The current workshop will span theoretical understanding of the evolution of signaling networks from individual molecular reactions and the integration of individual molecular reactions to build complex signaling networks. Further, this workshop also offer the introduction to tools and methods involved in the identification of protein-protein interactions, enzyme-substrate reactions, post-translational modifications, protein localization and expression of genes at the level of mRNAs, microRNAs and proteins. The practical sessions will introduce the development and visualization tools and hands-on training in the development of signaling pathways. Importantly, the practical sessions would also introduce the analysis of high-throughput data using open-access pathway analysis tools.

Organized by Computational Biology Group, Rajiv Gandhi Centre for Biotechnology Bio Innovation Center

Over the past few years, NextGen Sequencing technology has been established to explore the genome and transcriptome architecture of cells. The goal of NGS-16 is to bring together bioinformatics researchers and biologist facing new challenges with the high-throughput technology platforms.

Organized by Computational Biology Group, Rajiv Gandhi Centre for Biotechnology Bio Innovation Center

This course is a consolidation of courses covering three major programmatic technologies used in bioinformatics. It teaches entry level bioinformaticians, and biologists how to leverage the Linux shell, Perl, Python, MySQL and various other open-source bioinformatics tools to perform computations in biological research and create information from data. Examples in this course use data from DNA and amino acid sequences, microarray profiles , and biological annotations.

Organized by Computational Biology Group, Rajiv Gandhi Centre for Biotechnology Bio Innovation Center

The current workshop will span theoretical understanding of the evolution of signaling networks from individual molecular reactions and the integration of individual molecular reactions to build complex signaling networks. Further, this workshop also offer the introduction to tools and methods involved in the identification of protein-protein interactions, enzyme-substrate reactions, post-translational modifications, protein localization and expression of genes at the level of mRNAs, microRNAs and proteins. The practical sessions will introduce the development and visualization tools and hands-on training in the development of signaling pathways. Importantly, the practical sessions would also introduce the analysis of high-throughput data using open-access pathway analysis tools.

Organized by Computational Biology Group, Rajiv Gandhi Centre for Biotechnology Bio Innovation Center

The two-day training course organized by RGCB will include classroom presentations and extensive hands-on practical sessions with complete data. The course is designed to introduce Bioinformatics tools and pipeline available for the analysis of NextGen Sequencing transcriptome data to researchers and students who have a basic understanding of Bioinformatics. The hands-on exercises will be performed with Linux command-line.

Organized by Computational Biology Group, Rajiv Gandhi Centre for Biotechnology Bio Innovation Center

The current workshop will span theoretical understanding of the evolution of signaling networks from individual molecular reactions and the integration of individual molecular reactions to build complex signaling networks. Further, this workshop also offer the introduction to tools and methods involved in the identification of protein-protein interactions, enzyme-substrate reactions, post-translational modifications, protein localization and expression of genes at the level of mRNAs, microRNAs and proteins. The practical sessions will introduce the development and visualization tools and hands-on training in the development of signaling pathways. Importantly, the practical sessions would also introduce the analysis of high-throughput data using open-access pathway analysis tools.

Jointly organized by Rajiv Gandhi Center for Biotechnology (RGCB) and European Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI)

Identification and assembly of signal transduction pathways in a system are fundamental to biology as they serve as inevitable gateway to systems biology. A large number of visually complex pathway models available today are developed by assembling individual molecular reactions in multiple contexts of the experimentation, model systems and ligand-receptor specificity. Hence a thorough understanding of how they are made and assembled across these multiple contexts is important for real-time evaluation of those models and their use for analysis of high-throughput proteomics and transcriptomics data.

The Rajiv Gandhi Centre for Biotechnology (RGCB), jointly with the Oklahoma Medical Research Foundation (OMRF) USA, organized a National Workshop on "Microarray data analysis using R/Bioconductor" as part of a cancer informatics workshop series funded by the Department of Biotechnology.

Cancer research has rapidly evolved with the advent of high throughput technologies, such as microarrays and deep sequencing. Over the past few years, microarrays have become an established technology in molecular biology to explore global gene expression. The aim of this workshop is to familiarize participants with advanced microarray technology and its data analysis in the context of cancer informatics and provide hands-on training on latest bioinformatics approaches.