TY - JOUR
T1 - IMKT
T2 - The integrative McDonald and Kreitman test
AU - Murga-Moreno, Jesús
AU - Coronado-Zamora, Marta
AU - Hervas, Sergi
AU - Casillas, Sònia
AU - Barbadilla, Antonio
N1 - Funding Information:
Ministerio de Economía y Competitividad (Spain) [CGL2017-89160P to M.S., A.B.]; AGAUR (Generali-tat de Catalunya) [2017SGR-1379 to A.R.]; Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement (Generalitat de Catalunya) [FI-DGR2015 to M.C.-Z.]; Departament de Genètica i de Microbiologia (UAB) [PIF to J.M.-M.]; Servei de Genòmica i Bioin-formàtica de la UAB. Funding for open access charge: Ministerio de Economía y Competitividad (Spain). Conflict of interest statement. None declared.
Publisher Copyright:
© 2019 The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.
PY - 2019/7/1
Y1 - 2019/7/1
N2 - The McDonald and Kreitman test (MKT) is one of the most powerful and widely used methods to detect and quantify recurrent natural selection using DNA sequence data. Here we present iMKT (acronym for integrative McDonald and Kreitman test), a novel web-based service performing four distinct MKT types. It allows the detection and estimation of four different selection regimes -adaptive, neutral, strongly deleterious and weakly deleterious- acting on any genomic sequence. iMKT can analyze both user's own population genomic data and pre-loaded Drosophila melanogaster and human sequences of protein-coding genes obtained from the largest population genomic datasets to date. Advanced options in the website allow testing complex hypotheses such as the application example showed here: do genes located in high recombination regions undergo higher rates of adaptation? We aim that iMKT will become a reference site tool for the study of evolutionary adaptation in massive population genomics datasets, especially in Drosophila and humans. iMKT is a free resource online at https://imkt.uab.cat.
AB - The McDonald and Kreitman test (MKT) is one of the most powerful and widely used methods to detect and quantify recurrent natural selection using DNA sequence data. Here we present iMKT (acronym for integrative McDonald and Kreitman test), a novel web-based service performing four distinct MKT types. It allows the detection and estimation of four different selection regimes -adaptive, neutral, strongly deleterious and weakly deleterious- acting on any genomic sequence. iMKT can analyze both user's own population genomic data and pre-loaded Drosophila melanogaster and human sequences of protein-coding genes obtained from the largest population genomic datasets to date. Advanced options in the website allow testing complex hypotheses such as the application example showed here: do genes located in high recombination regions undergo higher rates of adaptation? We aim that iMKT will become a reference site tool for the study of evolutionary adaptation in massive population genomics datasets, especially in Drosophila and humans. iMKT is a free resource online at https://imkt.uab.cat.
UR - https://www.scopus.com/pages/publications/85069238138
U2 - 10.1093/nar/gkz372
DO - 10.1093/nar/gkz372
M3 - Article
C2 - 31081014
SN - 1362-4962
VL - 47
SP - W283-W288
JO - Nucleic acids research
JF - Nucleic acids research
IS - W1
ER -