Jayanta Mukherjee

DeePhy: A Deep Learning Model to Reconstruct Phylogenetic Tree from Unaligned Nucleotide Sequences

DeePhy is a deep learning model that reconstructs phylogenetic trees from unaligned nucleotide sequences, outperforming existing methods in triplet tree topology inference.

Deformity Index: A semi-reference quality metric of phylogenetic trees based on their clades

This paper introduces the Deformity Index, a new metric for evaluating phylogenetic tree correctness without requiring a reference tree, and demonstrates its robustness and scalability.

GRaphical footprint based Alignment-Free method (GRAFree) for reconstructing evolutionary Traits in Large-Scale Genomic Features

GRAFree reconstructs phylogenetic trees from mitochondrial genomic sequences using a novel distance measure and consensus merging algorithm, showing high bootstrap support for evolutionary relationships.