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. 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
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
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.