Hirak Sarkar
Hirak Sarkar
Ph.D Student at Stony Brook University
Verified email at cs.stonybrook.edu - Homepage
TitleCited byYear
RapMap: a rapid, sensitive and accurate tool for mapping RNA-seq reads to transcriptomes
A Srivastava, H Sarkar, N Gupta, R Patro
Bioinformatics 32 (12), i192-i200, 2016
552016
Voronoi game on graphs
S Bandyapadhyay, A Banik, S Das, H Sarkar
Theoretical Computer Science 562, 270-282, 2015
182015
A space and time-efficient index for the compacted colored de Bruijn graph
F Almodaresi, H Sarkar, A Srivastava, R Patro
Bioinformatics 34 (13), i169-i177, 2018
62018
Accurate, fast and lightweight clustering of de novo transcriptomes using fragment equivalence classes
A Srivastava, H Sarkar, L Malik, R Patro
arXiv preprint arXiv:1604.03250, 2016
52016
Towards selective-alignment: Bridging the accuracy gap between alignment-based and alignment-free transcript quantification
H Sarkar, M Zakeri, L Malik, R Patro
Proceedings of the 2018 ACM International Conference on Bioinformatics …, 2018
42018
Quark enables semi-reference-based compression of RNA-seq data
H Sarkar, R Patro
Bioinformatics 33 (21), 3380-3386, 2017
32017
Minnow: a principled framework for rapid simulation of dscRNA-seq data at the read level
H Sarkar, A Srivastava, R Patro
Bioinformatics 35 (14), i136-i144, 2019
2019
Alignment and mapping methodology influence transcript abundance estimation
A Srivastava, L Malik, M Zakeri, H Sarkar, C Soneson, MI Love, ...
BioRxiv, 657874, 2019
2019
Supplementary material for Quark enables semi-reference based compression of RNA-seq data
H Sarkar, R Patro
2017
Towards selective-alignment: producing accurate and sensitive alignments using quasi-mapping
H Sarkar, M Zakeri, L Malik, R Patro
bioRxiv, 138800, 2017
2017
RapMap
A Srivastava, H Sarkar, N Gupta, R Patro
Bioinformatics 32 (12), 2016
2016
Some geometric and combinatorial properties of binary matrices related to discrete tomography
H Sarkar
Indian Statistical Institute, Kolkata, 2013
2013
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Articles 1–12