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Ganapathi Varma Saripella


My work involves in applying NGS technologies combined with novel bioinformatic approaches for sustainable future food production and to unravel the causes of complex diseases. These new technologies allow us to read genetic makeup base-by-base and generates massive amount of data to be analysed for several applications. I am currently analysing RNA-seq differential expression data, annotation and eQTL/QTL analysis on more wider crops. I also work with few other closely related fields such as WES/WGS, proteomics, sequence analysis and data-mining.

Part of SLUBI (, PlantLink (


Bioinformatics Engineer at INSERM UMR_S 1166 at Sorbonne University, UPMC, Paris, 2014 –2017

Research Fellowship at Biomedical Centre (BMC), Uppsala University, 2013 – 2014

Thesis work at Science for Life Laboratory (SciLifeLab), Stockholm Bioinformatics Center (SBC), 2013

Software Developer at CMC Limited, Hyderabad, India, 2009 - 2010


Master's program (MSc) in Bioinformatics, Stockholm University, 2010 - 2013

Applied Bioinformatics, Omic Data and Systems Biology, KTH Royal Institute of Technology, 2011

Bachelor of Technology (B.Tech) in Bioinformatics, Sathyabama University, India, 2005 - 2009


Actively engaged in co-mentoring of bioinformatics postgraduate student at INSERM, Paris, 2015

MSc course 'Plant biology for breeding and protection'; Bioinformatics Lab, 2019

Selected publications

Khan W, Saripella GV, Ludwig T, Cuppens T, Thibord F; FREX consortium, Génin E, Deleuze JF, Trégouët DA; GENMED Consortium.(2018). MACARON: A python framework to identify and re-annotate multi-base affected codons in whole genome/exome sequence data. Bioinformatics, bty382.

Saripella GV, Sonnhammer ELL, & Forslund K. (2016). Benchmarking the next generation of homology inference tools. Bioinformatics, 32(17), 2636–2641.