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 (www.slubi.se), PlantLink (www.plantlink.se)
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
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. https://doi.org/10.1093/bioinformatics/bty382.
Saripella GV, Sonnhammer ELL, & Forslund K. (2016). Benchmarking the next generation of homology inference tools. Bioinformatics, 32(17), 2636–2641. http://doi.org/10.1093/bioinformatics/btw305.