Dr. Ravi Prabhakar More (Ph.D. Bioinformatics)
I am working on the "Investigating autism using genetics and epigenetics" (IMAGE) study as a Bioinformatics Research Associate at the Autism Research Centre (ARC), University of Cambridge, UK. My research interest focuses on Bioinformatic methods applied to biomedical sciences and more particularly on developing approaches for variants and gene prioritisation to better understand the functional impact of genomic variations in Autism research. I am mainly involved in the analysis of whole-genome (WGS) and epigenetic NGS data of multiplex families by implementing bioinformatic pipelines on High-Performance Computing (HPC) cluster platforms.
Before joining the ARC, I worked as a Bioinformatician in the Accelerator program for Discovery in Brain disorders using Stem cells (ADBS) at the TIFR-National Centre for Biological Sciences (NCBS), Bangalore, India from July 2016 to July 2019.
I developed the GenomicsQC pipeline to assess the cell line sample and analysed the whole genome (WGS) and exome (WES) sequence data of multiplex families with severe mental illness mainly Biopolar disorder and Schizophrenia.
Earlier, I worked as a Research Associate on Insect Transcriptomics project at ICAR- NBAIR, Bangalore, India from April 2015 to July 2016. I did DNA Barcoding studies of insect pests.
I was Senior Project Assistant in CSIR-National Environmental Engineering Research Institute (NEERI), Nagpur, India from April 2010 to March 2015. I completed my Ph.D. in Bioinformatics from NEERI and SRTM University Nanded, India in April 2015. In my Ph.D. thesis, I developed two software DNA BarID and matK-Classifier software for taxonomic classification of Bacteria and Plans. For the taxonomic classification of 16S rRNA sequences of Bacterial species and matK gene sequences of Plans species, I generated pattern-based signatures (regular expression) and converted into QR code symbols.
I am the recipient of the award for outstanding project personnel in CSIR-NEERI, Nagpur India. I have analyzed metagenomes of CETP and Rumen Microbial Fibrinolytic Enzymes in Indian Crossbred Cattle metagenome analysis. I was an International Intern at NIBB Institute, Japan and developed a combined supervised approach (Naïve Bayesian and homology) for detecting horizontal gene transfer (HGT) events in the microbial community.
I am the author of nineteen research articles that have been published in well-reputed peer-reviewed international journals and was the editor of ‘Soft Computing for Biological Systems’ by Springer publications. I have also attended and published posters at several international conferences.