Author

Serghei Mangul

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:long-read sequencing· 2 Research Focus:variant calling· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:metagenomics· 1 Organism:virus· 1

Frequent Co-Authors

Alex ZelikovskyiD· 2 shared Eleazar EskiniD· 2 shared Alexander ArtyomenkoiD· 1 shared David Koslicki· 1 shared Elizabeth Tseng· 1 shared Farhad HormozdiariiD· 1 shared Harry Taegyun YangiD· 1 shared Nicholas C Wu· 1 shared

Activity by Year

2016-2017 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Alex ZelikovskyORCID

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3 papers

Recent·Most cited

Long single-molecule reads can resolve the complexity of the Influenza virus composed of rare, closely related mutant variants

Alexander Artyomenko, Nicholas C Wu, Serghei Mangul, Eleazar Eskin, Ren Sun, Alex Zelikovsky

This paper introduces 2SNV, a method to accurately reconstruct rare viral mutant variants from single-molecule sequencing data with high sensitivity and accuracy.

Journal of Computational Biology · Jun 1, 2017Peer-reviewedBioinformatics

Reference-free comparison of microbial communities via de Bruijn graphs

Serghei Mangul, David Koslicki

This paper introduces a reference-free method for comparing microbial communities using de Bruijn graphs and Earth Mover's Distance, showing it can distinguish between case and control samples in a coronary artery calcification study.

bioRxiv · May 24, 2016 · PreprintBioinformatics

HapIso : An Accurate Method for the Haplotype-Specific Isoforms Reconstruction from Long Single-Molecule Reads

Serghei Mangul, Harry Taegyun Yang, Farhad Hormozdiari, Elizabeth Tseng, Alex Zelikovsky, Eleazar Eskin

HapIso reconstructs haplotype-specific isoforms from long single-molecule reads by clustering reads into parental alleles despite high error rates.

bioRxiv · May 9, 2016Bioinformatics