معرفی
Murli Nair is a Professor of Bioinformatics at Indiana University. His research focuses on cancer genomics, RNA sequence analysis, nucleosome positioning, and machine learning applications in biological systems. He leads 'Murli's Lab,' which develops computational tools like MAASE and DNAV for genomic visualization and splicing array analysis. He teaches courses including Introduction to Bioinformatics, Biostatistics, and Genomics.
Research interests include understanding chromosomal rearrangements via paired-end sequencing, identifying biomarkers through splicing arrays, and applying neural networks to model biological complexity. Key projects involve preeclampsia heterogeneity analysis and epigenetic programming in liver development. His work bridges computational methods with experimental validation, emphasizing translational applications in oncology and systems biology.
Notable contributions include the MAASE database for alternative splicing studies and the DNAV tool for 3D genome visualization. His publications span cancer biology, bioinformatics algorithms, and genomic technologies. Current grants include NSF funding for genomics and RNA sequence studies. Collaborations focus on integrating machine learning with experimental data to address biological questions at scale.
