Kousik Kundu, PhD | Postdoctoral Fellow

Kundu, Kousik

I am mainly interested in the application of whole-genome sequencing approaches in genome-wide association studies (GWAS). My focus will be to identify novel rare genetic variants that are associated with complex traits in humans. I am also involved in developing various pipelines for next generation sequencing (NGS) data analysis. In my PhD, I have developed machine learning based methods for prediction of modular domain mediated interactions.

Publications

  • Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells.

    Chen L, Ge B, Casale FP, Vasquez L, Kwan T et al.

    Cell 2016;167;5;1398-1414.e24

  • A graph kernel approach for alignment-free domain-peptide interaction prediction with an application to human SH3 domains.

    Kundu K, Costa F and Backofen R

    Bioinformatics (Oxford, England) 2013;29;13;i335-43

  • MoDPepInt: an interactive web server for prediction of modular domain-peptide interactions.

    Kundu K, Mann M, Costa F and Backofen R

    Bioinformatics (Oxford, England) 2014;30;18;2668-9

  • GRIN3B missense mutation as an inherited risk factor for schizophrenia: whole-exome sequencing in a family with a familiar history of psychotic disorders.

    Hornig T, Grüning B, Kundu K, Houwaart T, Backofen R et al.

    Genetics research 2017;99;e1

  • An Efficient Semi-supervised Learning Approach to Predict SH2 Domain Mediated Interactions.

    Kundu K and Backofen R

    Methods in molecular biology (Clifton, N.J.) 2017;1555;83-97

  • The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease.

    Astle WJ, Elding H, Jiang T, Allen D, Ruklisa D et al.

    Cell 2016;167;5;1415-1429.e19

  • Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells.

    Chen L, Ge B, Casale FP, Vasquez L, Kwan T et al.

    Cell 2016;167;5;1398-1414.e24

  • A graph kernel approach for alignment-free domain-peptide interaction prediction with an application to human SH3 domains.

    Kundu K, Costa F and Backofen R

    Bioinformatics (Oxford, England) 2013;29;13;i335-43

  • Semi-supervised prediction of SH2-peptide interactions from imbalanced high-throughput data.

    Kundu K, Costa F, Huber M, Reth M and Backofen R

    PloS one 2013;8;5;e62732

Kundu, Kousik
Kousik's Timeline
2015

Postdoctoral Fellow, Wellcome Trust Sanger Institute and University of Cambridge, UK

PhD in Bioinformatics, University of Freiburg, Germany

2007

Project JRF, Bioinformatics, Centre for Cellular and Molecular Biology (CCMB), India