Dilip Ariyur Durai

- Developing a sequence to graph alignment based algorithm to quantify gene expression using transcriptome reads from Oxford Nanopore sequencing technology. - Developed an algorithm to process a transcriptome read dataset which is given as an input to a sequence assembler. The algorithm uses set-cover optimization to remove reads which might be used by a sequence assembler. Thereby, it reduces the probability of misassemblies being generated and resource requirements.

-Developed a transcriptome downstream analysis pipeline named as SOS which performs error correction using SEECER algorithm, transcriptome assembly using OASES and expression analysis using SAILFISH algorithm. -The pipeline was written using python 2.7 and was tested on various datasets of different sequence coverage and read lengths. -Tutored a class of more than 30 students taking the course "Algorithms for Sequence Analysis" in Summer semester 2015 and 2016

-Developed an algorithm named SHARP to predict gene protein reaction association in 8 species of cyanobacteria. -The algorithm was written in perl and was fully automated. -Also provided computational support to the research work of Prof Pramod Wangikar and Prof Ganesh Viswanathan

Developed various linux based algorithms and pipelines for downstream analysis of seqeunces generated from state-of-the-art transcriptome sequencers.

Thesis: Developed an statistical algorithm to optimise multi-kmer based transcriptome assembler and hence producing high quality assemblies at reduced computational resource requirements. Tested the algorithm on 3 different assemblers and reduced the resources required by 40%-70%

Thesis : Prediction and analysis of operons in 156 species of gut microbes. Done in the lab of Prof Pramod Wangikar from the the Department of Chemical Engineering, Indian Institute of Technology Bombay.