Training and Workshop

We offer an integrative, multidisciplinary training programme that encompasses biology using computational and quantitative methods. Students learn to apply the tools of statistics, mathematics, computer science and informatics to biological problems. Training programmes are meant for Bachelors or Masters Students. Our training programmes include:

Advanced specialized training

The Pathfinder Research and Training Foundation organizes training programmes in association with LSSSDC (Life Sciences Sector Skill Development Council), New Delhi to train student as a Research Associate for Product Development. It is very specialized training in which students will make responsible for assisting in product development, carrying out research related activities along with its reporting and documentation.

  • Skill development programme in association with LSSSDC, New Delhi (Ministry of Skill Development and Entrepreneurship, Govt. of India).
  • Hands-on training by the experts from industry and academia.
  • Focuses on omics data analysis, computer aided Drug Discovery and scripting languages.
  • Duration of training

    5 months

    Programme commencement

    July

    Application deadline

    One month prior to the commencement of the programme

    Eligibility criteria

    Masters in relevant discipline

    Selection criteria

    Letter of motivation or SOP, Interview (optional)

    Total intake

    40

    Domain

    Drug discovery: Introduction to Drug Discovery, Protein Sequences and Structure, Basics of molecular interaction, Protein databases and visualization, 3D structure modeling of proteins, Proteins as drug targets, Chemical compound databases, Molecular format conversion, Molecular docking, Virtual Screening, Drug likeness prediction, Molecular interaction analysis

    Certification

    LSSSDC (Life Sciences Sector Skill Development Council, Ministry of skill development and entrepreneurship, GOI)

     

    Other advanced specialized training

    Advanced proteomics: Quantitative proteomics (Labeled and label-free) and systems biology based interactome building.

    Big Data analysis: Next generation sequencing, transcriptomics, RNA-Seq data analysis, epigenetics analysis and amplicon sequencing data analysis, open source repositories and reanalysis.

    Genome editing and Functional genomics: CRISPR editing strategies and analysis, small RNA databases, miRNA mediated regulation (miRBASE), ENCODE project, Rosetta stone approach for protein function prediction. Development of novel algorithms to mimic endogenous cellular conditions to identify potential off-targets in various vertebrate genomes including humans.

    Metagenomics: Data analysis using conventional and Next Generation Sequencing (NGS). Species identification and molecular phylogenetics.

    Machine learning: Application of machine learning techniques on biological data, programming in MATLAB, Perl, Python, SQL etc.

    Metabolomics: Data acquisition from metabolomics data repositories (MetaboLights, ChEBI) and subsequent integration with metabolomic visualization tools (Reactome).

    Student projects

    Center for Bioinformatics, Computational and Systems Biology offers project-oriented students training programmes for hands-on research experiments in bioinformatics, computational and systems biology. We provide an opportunity through Long-Term and Short-term training programmes to students from bioinformatics to work on a specific domain of Bioinformatics. The duration of project will be 6 months. This project is meant for the partial fulfillment of the degree courses such as B.Sc, M.Sc and M.Tech by various Universities. In addition to research, there will be research presentation.

    Duration of training

    6 months

    Programme commencement

    January

    Application deadline

    One month prior to the commencement of the programme

    Selection criteria

    Letter of motivation or SOP, Interview (optional)

    Certification

    Pathfinder Research and Training Foundation

    Domain

    Drug discovery