Search Results for author: Serghei Mangul

Found 13 papers, 5 papers with code

MetaTrinity: Enabling Fast Metagenomic Classification via Seed Counting and Edit Distance Approximation

3 code implementations3 Nov 2023 Arvid E. Gollwitzer, Mohammed Alser, Joel Bergtholdt, Joel Lindegger, Maximilian-David Rumpf, Can Firtina, Serghei Mangul, Onur Mutlu

This dual comparison positions MetaTrinity as a broadly applicable solution for metagenomic classification, combining advantages of both ends of the spectrum: speed and accuracy.

A rigorous benchmarking of methods for SARS-CoV-2 lineage abundance estimation in wastewater

no code implementations29 Sep 2023 Viorel Munteanu, Victor Gordeev, Michael Saldana, Eva Aßmann, Justin Maine Su, Nicolae Drabcinski, Oksana Zlenko, Maryna Kit, Felicia Iordachi, Khooshbu Kantibhai Patel, Abdullah Al Nahid, Likhitha Chittampalli, Yidian Xu, Pavel Skums, Shelesh Agrawal, Martin Hölzer, Adam Smith, Alex Zelikovsky, Serghei Mangul

Here, we perform comprehensive benchmarking of 18 bioinformatics methods for estimating the relative abundance of SARS-CoV-2 (sub)lineages in wastewater by using data from 36 in vitro mixtures of synthetic lineage and sublineage genomes.

Benchmarking

Genomic reproducibility in the bioinformatics era

no code implementations18 Aug 2023 Pelin Icer Baykal, Paweł P. Łabaj, Florian Markowetz, Lynn M. Schriml, Daniel J. Stekhoven, Serghei Mangul, Niko Beerenwinkel

In biomedical research, validation of a new scientific discovery is tied to the reproducibility of its experimental results.

Unlocking capacities of viral genomics for the COVID-19 pandemic response

no code implementations28 Apr 2021 Sergey Knyazev, Karishma Chhugani, Varuni Sarwal, Ram Ayyala, Harman Singh, Smruthi Karthikeyan, Dhrithi Deshpande, Zoia Comarova, Angela Lu, Yuri Porozov, Aiping Wu, Malak Abedalthagafi, Shivashankar Nagaraj, Adam Smith, Pavel Skums, Jason Ladner, Tommy Tsan-Yuk Lam, Nicholas Wu, Alex Zelikovsky, Rob Knight, Keith Crandall, Serghei Mangul

More than any other infectious disease epidemic, the COVID-19 pandemic has been characterized by the generation of large volumes of viral genomic data at an incredible pace due to recent advances in high-throughput sequencing technologies, the rapid global spread of SARS-CoV-2, and its persistent threat to public health.

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