1. Poster: Molecular Docking for Schizophrenia
A conference poster presented by Abhinav Mishra & Nimisha Asati at the 16th NSCB Symposium (JUIT, Solan) under the Department of Biotechnology & Bioinformatics, showcasing a docking-based approach to identify potential lead molecules targeting the dopamine D3 receptor in schizophrenia.
2. Poster: FM-Index for Error-Tolerant Sequence Search
A technical poster presented during Introduction to Focus Areas 2023 (FU Berlin) by Abhinav Mishra, Jule Brenningmeyer, and Maike Herkenrath under the Department of Mathematics & Informatics, explaining the FM-Index data structure for efficient exact and approximate sequence search using the Burrows-Wheeler Transform, C-array, and Occ matrix, with coverage of L-to-F mapping, backward search, and error-tolerant backtracking with bidirectional indices and pigeonhole search strategies.
3. Poster: Deep Learning-based Cancer Patient Stratification
A technical poster presented during Introduction to Focus Areas 2023 (FU Berlin) by Abhinav Mishra, Jule Brenningmeyer, and Maike Herkenrath under the Department of Mathematics & Informatics, outlining a deep learning framework for multi-omics integration (ARCASOnco) to improve cancer patient stratification, with latent-factor discovery, subtype refinement, and survival-prediction gains across large colorectal cancer datasets.
Report: Complex Systems in Bioinformatics
