Author
Swapna Vidhur Daulatabad
Indiana University – Purdue University IndianapolisORCID 0000-0001-5288-8599Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2019-2026 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 16 mutual co-author links6 papers
Recent·Most cited
- GenomicsMethodsPeer-reviewed
Penguin: A Tool for Predicting Pseudouridine Sites in Direct RNA Nanopore Sequencing Data
Doaa Hassan, Daniel Acevedo, Swapna Vidhur Daulatabad…·Sarath Chandra Janga
Penguin is a tool that uses machine learning to predict pseudouridine sites in direct RNA nanopore sequencing data, achieving high accuracy compared to existing methods.
57 citations - BioinformaticsbioRxivPreprint
Nm-Nano: A Machine Learning Framework for Transcriptome-Wide Single Molecule Mapping of 2{acute}-O-Methylation (Nm) Sites in Nanopore Direct RNA Sequencing Datasets
Doaa Hassan, Aditya Ariyur, Swapna Vidhur Daulatabad…·Sarath Chandra Janga
Nm-Nano predicts Nm sites in Nanopore RNA sequencing data with high accuracy, identifying frequently modified genes in human cell lines and their biological roles.
DOI 10.1101/2022.01.03.473214 - BioinformaticsBMC GenomicsPeer-reviewed
Sequoia: An interactive visual analytics platform for interpretation and feature extraction from nanopore sequencing datasets
Ratanond Koonchanok, Swapna Vidhur Daulatabad, Quoseena Mir…·Sarath Chandra Janga
Sequoia is a visualization tool for analyzing nanopore sequencing data, using dynamic time warping and t-SNE to display signal similarities and enabling interactive exploration and export of raw signals.
- BioinformaticsInternational Journal of Molecular SciencesPeer-reviewed
Role of SARS-CoV-2 in altering the RNA binding protein and miRNA directed post-transcriptional regulatory networks in humans
Rajneesh Srivastava, Swapna Vidhur Daulatabad, Mansi Srivastava, Sarath Chandra Janga
This study systematically analyzes how SARS-CoV-2 alters RNA binding protein and miRNA-directed post-transcriptional regulatory networks in human tissues.
51 citations - BioinformaticsGenesPeer-reviewed
Long non-coding RNA expression levels modulate cell-type specific splicing patterns by altering their interaction landscape with RNA-binding proteins
Felipe Wendt Porto, Swapna Vidhur Daulatabad, Sarath Chandra Janga
The paper investigates how lncRNA knockdown affects alternative splicing and RBP binding in three human cell lines, revealing cell-type specific impacts on gene regulation and function.
17 citations