Mahmudur Rahman Hera

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David KoslickiComputer Science and Engineering, Biology, Huck Institutes of the Life Sciences, Penn StateVerified email at psu.edu
Nuri Tessa Pierce-WardUC DavisVerified email at ucdavis.edu
Amatur RahmanPostdoctoral Scholar, Department of Biology, The Pennsylvania State UniversityVerified email at psu.edu
Md Yusuf Sarwar UddinUniversity of Missouri-Kansas CityVerified email at umkc.edu
Nalini VenkatasubramanianProfessor of Computer Science, University of California, IrvineVerified email at uci.edu
Hua-Jun HongPhD of Computer Science, National Tsing Hua UniversityVerified email at m98.nthu.edu.tw
Cheng-Hsin HsuNational Tsing Hua UniversityVerified email at cs.nthu.edu.tw
Luiz IrberStaff Bioinformatics Engineer, AncestryVerified email at ucdavis.edu
C. Titus BrownProfessor, UC DavisVerified email at ucdavis.edu
Taylor ReiterScientistVerified email at arcadiascience.com
Afia AfrinGraduate Teaching Assistant, University of AlbertaVerified email at ualberta.ca
Atif RahmanBangladesh University of Engineering and Technology (BUET)Verified email at cse.buet.ac.bd
Chunyu MaPhD candidate, Penn State UniversityVerified email at psu.edu
Pei-Hsuan TsaiInstitute of Manufacturing Information and Systems, National Cheng Kung UniversityVerified email at mail.ncku.edu.tw

Mahmudur Rahman Hera

PhD Student, Penn State

Verified email at psu.edu - Homepage

bioinformatics computational biology


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Lightweight compositional analysis of metagenomes with FracMinHash and minimum metagenome covers L Irber, PT Brooks, T Reiter, NT Pierce-Ward, MR Hera, D Koslicki, ... BioRxiv, 2022.01. 11.475838, 2022	36	2022
An adaptive IoT platform on budgeted 3G data plans M Rahman, A Rahman, HJ Hong, LW Pan, MYS Uddin, ... Journal of Systems Architecture 97, 65-76, 2019	21	2019
Debiasing fracminhash and deriving confidence intervals for mutation rates across a wide range of evolutionary distances MR Hera, T Pierce, D Koslicki bioRxiv, 2022.01. 11.475870, 2022	11	2022
Deriving confidence intervals for mutation rates across a wide range of evolutionary distances using FracMinHash MR Hera, NT Pierce-Ward, D Koslicki Genome research 33 (7), 1061-1068, 2023	10	2023
Adaptive sensing using internet-of-things with constrained communications M Rahman, HJ Hong, A Rahman, PH Tsai, A Afrin, MYS Uddin, ... Proceedings of the 16th Workshop on Adaptive and Reflective Middleware, 1-6, 2017	6	2017
AQBox: An air quality measuring box from COTS gas sensors MR Hera, A Rahman, A Afrin, MYS Uddin, N Venkatasubramanian 2017 International Conference on Networking, Systems and Security (NSysS …, 2017	4	2017
kRISP-meR: A Reference-free Guide-RNA Design Tool for CRISPR/Cas9 MR Hera, A Rahman, A Rahman bioRxiv, 869115, 2019	1	2019
Fast, lightweight, and accurate metagenomic functional profiling using FracMinHash sketches MR Hera, S Liu, W Wei, JS Rodriguez, C Ma, D Koslicki bioRxiv, 2023.11. 06.565843, 2023		2023
Skani enables accurate and efficient genome comparison for modern metagenomic datasets S Nayfach, BD Ondov, M Belbasi, A Blanca, RS Harris, D Koslicki, ... NATURE METHODS 20 (11), 1633-1634, 2023		2023
Deriving confidence intervals for mutation rates across a wide range of evolutionary distances using FracMinHash MR Hera, NT Pierce-Ward, D Koslicki Genome research 33 (7), 1061-1068, 2023		2023
Deriving confidence intervals for mutation rates across a wide range of evolutionary distances using FracMinHash MR Hera, NT Pierce-Ward, D Koslicki Genome research 33 (7), 1061-1068, 2023		2023
Reference free method for designing guide RNAs for CRISPR-Cas9 MR Hera Department of computer Science and Engineering, 2020		2020
CANDIDATES’DECLARATION MR Hera, A Rahman, A Afrin		2017

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