Author

Max A. Alekseyev

George Washington UniversityORCID 0000-0002-5140-8095Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:genome assembly· 3 Assay:whole-genome sequencing· 3 Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Igor V. SharakhoviD· 2 shared Pavel AvdeyeviD· 2 shared Sergey S. AganezoviD· 2 shared Adam M. PhillippyiD· 1 shared Anton ZamyatiniD· 1 shared Ashley Peery· 1 shared Atashi SharmaiD· 1 shared Cédric ChauveiD· 1 shared

Activity by Year

2016-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersGenomics

Igor V. SharakhovORCID

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Author profile →

4 papers

Recent·Most cited

Chromosome-level genome assemblies of the malaria vectors Anopheles coluzzii and Anopheles arabiensis

Anton Zamyatin, Pavel Avdeyev, Jiangtao Liang, Atashi Sharma, Chujia Chen, Varvara Lukyanchikova, Nikita Alexeev, Zhijian Jake Tu, Max A. Alekseyev, Igor V. Sharakhov

This study produces chromosome-level genome assemblies for Anopheles coluzzii and Anopheles arabiensis using long-read sequencing and Hi-C scaffolding, improving reference-quality genomes and enabling identification of chromosomal inversion breakpoints.

GigaScience · Mar 1, 2021Peer-reviewedGenomics

Evolutionary superscaffolding and chromosome anchoring to improve Anopheles genome assemblies

Robert Michael Waterhouse, Sergey S. Aganezov, Yoann Anselmetti, Jiyoung Lee, Livio Ruzzante, Maarten J. M. F. Reijnders, Romain Feron, Sèverine Bérard, Phillip George, Matthew W. Hahn, Paul I. Howell, Maryam Kamali, Sergey Koren, Daniel Lawson, Gareth Ll. Maslen, , Igor V. Sharakhov

The paper improves Anopheles genome assemblies using comparative genomics methods and experimental data, resulting in more contiguous and chromosomally anchored assemblies.

BMC Biology · Jan 2, 2020Peer-reviewedGenomics

CAMSA: a Tool for Comparative Analysis and Merging of Scaffold Assemblies

Sergey S. Aganezov, Max A. Alekseyev

CAMSA merges scaffold assemblies from different methods, producing high-quality results faster than existing tools.

BMC Bioinformatics · Dec 1, 2017Peer-reviewedBioinformatics

Reconstruction of ancestral genomes in presence of gene gain and loss.

Pavel Avdeyev, Shuai Jiang, Sergey Aganezov, Fei Hu, Max A. Alekseyev

This paper introduces MGRA2, an improved tool for reconstructing ancestral genomes that handles gene gain/loss and higher breakpoint reuse, outperforming existing methods.

Journal of Computational Biology · Mar 1, 2016Peer-reviewedBioinformatics