Ganapathi Varma Saripella
I work on NGS data-sets, currently focusing on RNA-seq differential expression analysis, annotation and eQTL analysis. I have also worked on few other closely related fields such as WGS, proteomics, sequence analysis and data-mining. My basic interest is to apply these bioinformatic techniques to the complex diseases and for sustainable food production.
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
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.