Dr. Arundhati Mahesh is an Assistant Professor in the Department of Bioinformatics at the Faculty of Engineering & Technology, Sri Ramachandra Institute of Higher Education & Research (SRIHER), Porur, Chennai. She earned her Ph.D. in Bioinformatics from Sri Ramachandra University in 2023, following a Master of Computer Application (MCA) from the University of Madras in 2006. Dr. Arundhati has mentored several undergraduate and postgraduate students, fostering the next generation of bioinformatics researchers. Her research interests focus on developing computational tools that address complex biological questions, contributing to advancements in bioinformatics applications and methodologies.
GenPop is a web based online cross platform tool developed to help Geneticist and Epidemiologist to deal with association studies in analyzing human population genetic data. The tool features include descriptive analysis such as Hardy-Weinberg equilibrium test, chi-square p-value and analysis of single nucleotide polymorphisms (SNPs) with multiple inheritance models such as dominant, recessive, allelic, genotype, odd’s ratio and relative risk at 95% confidence interval and analysis of multiple SNPs including haplotype frequencies and linkage disequilibrium for a pair of biallelic markers. This is a user-driven human population genetic data analysis tool that is easily scalable and acceptable with multiple implementations of different algorithms. Available: https://www.genpop.swmd.co.in/
Motif finding is one of the common undertakings in bioinformatics and several motif finding programs have been formulated. A gene is a functional unit of the human genome and is found in DNA. DNA is transcribed to give mRNA which is translated to produce proteins. Proteins are made up of amino acids coded for by the mRNA. Hence, the production of proteins depends in the specific set of DNA sequences that are a part of a gene. DNA has several pattern specific and profile specific features, one of which includes motifs. A motif is a short DNA or protein sequence that contributes to the biological function of the sequence in which it resides. Thus the most fundamental studied problem is the discovery of motifs in sequences computationally. Thus, the motif finding tool was developed using Perl CGI and word based algorithms which exhaustively searches through the input sequences and protein sequences. The developed tool does not require any trained data set like the other motif finding tools. This motif finding tool has been designed to find sequence specific motifs and also generate size specific motifs with positions in nucleotide and protein sequences. Available: https://www.motif.swmd.co.in/
The development of Mobile apps (software for mobile devices) in succession with scientific applications continues to develop more innumber with diversity and capability. Cardiac Risks, now updated as Cardiac Health, is an android app developed using Java and hosted in Google Play store. It is an awareness app for preliminary assessment of heart diseases which was designed to discriminate cardiac associated problems or other ailments.