Hirak Sarkar
Orcid: 0000-0003-3636-7384
According to our database1,
Hirak Sarkar
authored at least 13 papers
between 2015 and 2022.
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Bibliography
2022
Airpart: interpretable statistical models for analyzing allelic imbalance in single-cell datasets.
Bioinform., 2022
2021
2020
Computational approaches for improving the accuracy and efficiency of RNA-seq analysis.
PhD thesis, 2020
A Bayesian framework for inter-cellular information sharing improves dscRNA-seq quantification.
Bioinform., 2020
Terminus enables the discovery of data-driven, robust transcript groups from RNA-seq data.
Bioinform., 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
2019
Minnow: a principled framework for rapid simulation of dscRNA-seq data at the read level.
Bioinform., 2019
2018
Bioinform., 2018
Towards Selective-Alignment: Bridging the Accuracy Gap between Alignment-Based and Alignment-Free Transcript Quantification.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
2017
2016
Accurate, Fast and Lightweight Clustering of de novo Transcriptomes using Fragment Equivalence Classes.
CoRR, 2016
RapMap: a rapid, sensitive and accurate tool for mapping RNA-seq reads to transcriptomes.
Bioinform., 2016
2015