2018 - ACM Paris Kanellakis Theory and Practice Award For pioneering contributions to the theory, design, and implementation of algorithms for string reconstruction and to their applications in the assembly of genomes.
2018 - Fellow of the American Association for the Advancement of Science (AAAS)
2016 - Member of Academia Europaea
2012 - Fellow of the International Society for Computational Biology
2010 - ACM Fellow For contribution to algorithms for genome rearrangements, DNA sequencing, and proteomics.
Pavel A. Pevzner mainly focuses on Genetics, Genome, Computational biology, DNA sequencing and Genomics. His studies examine the connections between Genetics and genetics, as well as such issues in Evolutionary biology, with regards to Phylogenetic tree, Earth Microbiome Project and Human microbiome. His Genome research includes elements of Sequence assembly and Benchmark.
His Computational biology research is multidisciplinary, incorporating perspectives in Peptide spectral library, Mass spectrometry, Plasmidome and Bacterial genome size. Pavel A. Pevzner interconnects Algorithm, Theoretical computer science and Identification in the investigation of issues within DNA sequencing. The study incorporates disciplines such as Sequence analysis, Gene prediction and Metagenomics in addition to Genomics.
Computational biology, Genome, Genetics, DNA sequencing and Algorithm are his primary areas of study. His Computational biology study combines topics in areas such as Tandem mass spectrometry, Mass spectrometry, Proteomics and Bioinformatics. His work deals with themes such as Sequence assembly and Metagenomics, which intersect with Genome.
Pavel A. Pevzner usually deals with Sequence assembly and limits it to topics linked to De Bruijn graph and Theoretical computer science. His Metagenomics study combines topics from a wide range of disciplines, such as Microbiome, Human gut and Sequence analysis. His Genetics study frequently links to related topics such as Evolutionary biology.
His primary areas of investigation include Computational biology, Genome, Metagenomics, Sequence assembly and Gene. His Computational biology research is multidisciplinary, incorporating elements of Molecular network, Molecular networking, Metabolomics, Bacterial genome size and Human gut. His biological study spans a wide range of topics, including Human genetics and Haplotype.
Metagenomics is a subfield of Genetics that Pavel A. Pevzner explores. His research integrates issues of Structural variation and De Bruijn graph, Graph in his study of Sequence assembly. The various areas that Pavel A. Pevzner examines in his Genomics study include Cyanobacteria, Natural product, Multi omics and Conserved sequence.
His primary scientific interests are in Computational biology, Metagenomics, Genome, Molecular networking and Molecular network. Pavel A. Pevzner merges Computational biology with Viral Identification in his research. His studies deal with areas such as Microbiome, Human gut, Human microbiome, Plasmid and Scalability as well as Metagenomics.
Pavel A. Pevzner has researched Genome in several fields, including Graph and Sequence assembly. His Sequence assembly research incorporates themes from Repetitive Regions, Algorithm, Theoretical computer science and De Bruijn graph. His Molecular network research integrates issues from Protein identification, Metabolomics and Drug discovery.
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SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing
Anton Bankevich;Sergey Nurk;Dmitry Antipov;Alexey A. Gurevich.
Journal of Computational Biology (2012)
Initial sequencing and comparative analysis of the mouse genome.
Robert H. Waterston;Kerstin Lindblad-Toh;Ewan Birney;Jane Rogers.
Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution
Ladeana W. Hillier;Webb Miller;Ewan Birney;Wesley Warren.
Genome sequence of the Brown Norway rat yields insights into mammalian evolution
Richard A. Gibbs;George M. Weinstock;Michael L. Metzker;Donna M. Muzny.
An Eulerian path approach to DNA fragment assembly
Pavel A. Pevzner;Haixu Tang;Michael S. Waterman.
Proceedings of the National Academy of Sciences of the United States of America (2001)
Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking
Mingxun Wang;Jeremy J Carver;Vanessa V Phelan;Laura M Sanchez.
Nature Biotechnology (2016)
Transforming cabbage into turnip: polynomial algorithm for sorting signed permutations by reversals
Sridhar Hannenhalli;Pavel A. Pevzner.
Journal of the ACM (1999)
MetaSPAdes: A new versatile metagenomic assembler
Sergey Nurk;Dmitry Meleshko;Anton Korobeynikov;Pavel A. Pevzner;Pavel A. Pevzner.
Genome Research (2017)
De novo identification of repeat families in large genomes
Alkes L. Price;Neil C. Jones;Pavel A. Pevzner.
Computational molecular biology : an algorithmic approach
Pavel A. Pevzner.
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