SuperDCA for genome-wide epistasis analysis-Reference-Cited by-同舟云学术

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SuperDCA for genome-wide epistasis analysis

Published:2018-06-01 Issue:6 Volume:4 Page:
ISSN:2057-5858
Container-title:Microbial Genomics
language:en
Short-container-title:

Author:

Puranen Santeri¹²,Pesonen Maiju²¹,Pensar Johan¹,Xu Ying Ying²¹,Lees John A.³,Bentley Stephen D.³,Croucher Nicholas J.⁴,Corander Jukka⁵¹³

Affiliation:

1. 2Department of Mathematics and Statistics, Helsinki Institute of Information Technology (HIIT), FI-00014 University of Helsinki, Finland

2. 1Department of Computer Science, Aalto University, FI-00076 Espoo, Finland

3. 3Pathogen Genomics, Wellcome Trust Sanger Institute, Cambridge CB10 1SA, UK

4. 4Department of Infectious Disease Epidemiology, Imperial College London, London W2 1PG, UK

5. 5Department of Biostatistics, University of Oslo, 0317 Oslo, Norway

Publisher

Microbiology Society

Subject

General Medicine

Reference37 articles.

1. Identification of direct residue contacts in protein-protein interaction by message passing

2. Direct-coupling analysis of residue coevolution captures native contacts across many protein families

3. Improving Contact Prediction along Three Dimensions

4. Direct Coupling Analysis for Protein Contact Prediction

5. Robust and accurate prediction of residue–residue interactions across protein interfaces using evolutionary information

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1. Detecting co-selection through excess linkage disequilibrium in bacterial genomes;NAR Genomics and Bioinformatics;2024-04-04

2. Detecting co-selection through excess linkage disequilibrium in bacterial genomes;2023-08-06

3. Detecting patterns of accessory genome coevolution in Staphylococcus aureus using data from thousands of genomes;BMC Bioinformatics;2023-06-09

4. Analysis of Genome-Wide Mutational Dependence in Naturally Evolving Mycobacterium tuberculosis Populations;Molecular Biology and Evolution;2023-06-01

5. Mycobacterium abscessus pathogenesis identified by phenogenomic analyses;Nature Microbiology;2022-08-25

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