Anton Nekrutenko
Overview
Explore the profile of Anton Nekrutenko including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
92
Citations
10918
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Formenti G, Koo B, Sollitto M, Balacco J, Brajuka N, Burhans R, et al.
bioRxiv
. 2025 Feb;
PMID: 39975369
Motivation: Large sequencing data sets are produced and deposited into public archives at unprecedented rates. The availability of tools that can reliably and efficiently generate and store sequencing read summary...
2.
Selberg A, Chikina M, Sackton T, Muse S, Lucaci A, Weaver S, et al.
bioRxiv
. 2024 Nov;
PMID: 39605407
Errors in multiple sequence alignments (MSAs) are known to bias many comparative evolutionary methods. In the context of natural selection analyses, specifically codon evolutionary models, excessive rates of false positives...
3.
Gulhan A, Burhans R, Harris R, Kandemir M, Haeussler M, Nekrutenko A
bioRxiv
. 2024 Sep;
PMID: 39282333
Our ability to generate sequencing data and assemble it into high quality complete genomes has rapidly advanced in recent years. These data promise to advance our understanding of organismal biology...
4.
Lariviere D, Abueg L, Brajuka N, Gallardo-Alba C, Gruning B, Ko B, et al.
Nat Biotechnol
. 2024 Jan;
42(3):367-370.
PMID: 38278971
No abstract available.
5.
Lariviere D, Abueg L, Brajuka N, Gallardo-Alba C, Gruning B, Ko B, et al.
bioRxiv
. 2023 Jul;
PMID: 37425881
Improvements in genome sequencing and assembly are enabling high-quality reference genomes for all species. However, the assembly process is still laborious, computationally and technically demanding, lacks standards for reproducibility, and...
6.
Guerler A, Baker D, van den Beek M, Gruening B, Bouvier D, Coraor N, et al.
BMC Bioinformatics
. 2023 Jun;
24(1):263.
PMID: 37353753
Background: Protein-protein interactions play a crucial role in almost all cellular processes. Identifying interacting proteins reveals insight into living organisms and yields novel drug targets for disease treatment. Here, we...
7.
Bray S, Chilton J, Bernt M, Soranzo N, van den Beek M, Batut B, et al.
Genome Res
. 2023 Feb;
33(2):261-268.
PMID: 36828587
There are thousands of well-maintained high-quality open-source software utilities for all aspects of scientific data analysis. For more than a decade, the Galaxy Project has been providing computational infrastructure and...
8.
Lucaci A, Zehr J, Shank S, Bouvier D, Ostrovsky A, Mei H, et al.
PLoS One
. 2022 Nov;
17(11):e0275623.
PMID: 36322581
An important unmet need revealed by the COVID-19 pandemic is the near-real-time identification of potentially fitness-altering mutations within rapidly growing SARS-CoV-2 lineages. Although powerful molecular sequence analysis methods are available...
9.
Wertheim J, Wang J, Leelawong M, Martin D, Havens J, Chowdhury M, et al.
Nat Commun
. 2022 Jun;
13(1):3645.
PMID: 35752633
Recombination is an evolutionary process by which many pathogens generate diversity and acquire novel functions. Although a common occurrence during coronavirus replication, detection of recombination is only feasible when genetically...
10.
Martin D, Lytras S, Lucaci A, Maier W, Gruning B, Shank S, et al.
Mol Biol Evol
. 2022 Mar;
39(4).
PMID: 35325204
Among the 30 nonsynonymous nucleotide substitutions in the Omicron S-gene are 13 that have only rarely been seen in other SARS-CoV-2 sequences. These mutations cluster within three functionally important regions...