Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Minna Vehkala"'
Autor:
John A. Lees, Minna Vehkala, Niko Välimäki, Simon R. Harris, Claire Chewapreecha, Nicholas J. Croucher, Pekka Marttinen, Mark R. Davies, Andrew C. Steer, Steven Y. C. Tong, Antti Honkela, Julian Parkhill, Stephen D. Bentley, Jukka Corander
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-8 (2016)
Plasticity and clonal population structure in bacterial genomes can hinder traditional SNP-based genetic association studies. Here, Corander and colleagues present a method to identify variable-length sequence elements enriched in a phenotype of inte
Externí odkaz:
https://doaj.org/article/cf0152cd3fa84f69ab1a6244a1daed1f
Autor:
Lucy A. Weinert, Roy R. Chaudhuri, Jinhong Wang, Sarah E. Peters, Jukka Corander, Thibaut Jombart, Abiyad Baig, Kate J. Howell, Minna Vehkala, Niko Välimäki, David Harris, Tran Thi Bich Chieu, Nguyen Van Vinh Chau, James Campbell, Constance Schultsz, Julian Parkhill, Stephen D. Bentley, Paul R. Langford, Andrew N. Rycroft, Brendan W. Wren, Jeremy Farrar, Stephen Baker, Ngo Thi Hoa, Matthew T. G. Holden, Alexander W. Tucker, Duncan J. Maskell, BRaDP1T Consortium
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-1 (2019)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Externí odkaz:
https://doaj.org/article/a61692a1421b4db49ae74b44b7172ea5
Autor:
Alan McNally, Yaara Oren, Darren Kelly, Ben Pascoe, Steven Dunn, Tristan Sreecharan, Minna Vehkala, Niko Välimäki, Michael B Prentice, Amgad Ashour, Oren Avram, Tal Pupko, Ulrich Dobrindt, Ivan Literak, Sebastian Guenther, Katharina Schaufler, Lothar H Wieler, Zong Zhiyong, Samuel K Sheppard, James O McInerney, Jukka Corander
Publikováno v:
PLoS Genetics, Vol 12, Iss 9, p e1006280 (2016)
The use of whole-genome phylogenetic analysis has revolutionized our understanding of the evolution and spread of many important bacterial pathogens due to the high resolution view it provides. However, the majority of such analyses do not consider t
Externí odkaz:
https://doaj.org/article/2a3b2213e8624f398e0183bd81683f91
Publikováno v:
PLoS ONE, Vol 11, Iss 9, p e0162276 (2016)
Biolog Phenotype Microarray (PM) is a technology allowing simultaneous screening of the metabolic behaviour of bacteria under a large number of different conditions. Bacteria may often undergo several cycles of metabolic activity during a Biolog expe
Externí odkaz:
https://doaj.org/article/df6ee93b14a94d0b95f6473eaa5ca3cd
Publikováno v:
PLoS ONE, Vol 10, Iss 3, p e0118392 (2015)
Data produced by Biolog Phenotype MicroArrays are longitudinal measurements of cells' respiration on distinct substrates. We introduce a three-step pipeline to analyze phenotypic microarray data with novel procedures for grouping, normalization and e
Externí odkaz:
https://doaj.org/article/0b36f40a77944babb3e0e6f35560f6c6
Autor:
Katja Marja Hakkarainen, Rosa Juuti, Sarah Burkill, Yvonne Geissbühler, Meritxell Sabidó, Catrinel Popescu, Kiliana Suzart-Woischnik, Jan Hillert, Miia Artama, Auli Verkkoniemi-Ahola, Kjell-Morten Myhr, Juha Mehtälä, Shahram Bahmanyar, Scott Montgomery, Pasi Korhonen, Alessandra Adamo, Eva-Maria Wicklein, Metin Akbaba, Gustavo Borghesi, Evra Köfüncü, Nicholas Everage, Avni Pandhi, Maria Naylor, Anh Ly, Dominic Jack, Milorad Todorovic, Delphine Issard, Alexandra Macklin, Paola Primatesta, Richard Weitzman, Riho Klement, Minna Vehkala, Pia Vattulainen, Marta Korjagina, Hanna Gyllensten
Publikováno v:
Therapeutic Advances in Neurological Disorders
Therapeutic Advances in Neurological Disorders (TAND)
Therapeutic Advances in Neurological Disorders, Vol 13 (2020)
Therapeutic Advances in Neurological Disorders (TAND)
Therapeutic Advances in Neurological Disorders, Vol 13 (2020)
Background Our aim was to estimate and compare the prevalence of adverse pregnancy outcomes among pregnant women with multiple sclerosis (MS) exposed to interferon beta (IFNB) and among women with MS unexposed to any MS disease-modifying drug (MSDMD)
Autor:
Stefan de Vogel, Irene D. Bezemer, Daniel Dedman, Fabian Hoti, Noah Jamie Robinson, Daniel Prieto-Alhambra, Fernie J. A. Penning-van Beest, Helen P Booth, Minna Vehkala, Kwame Appenteng, Edith M. Heintjes, Ying He, Elisabeth Smits
Publikováno v:
Clinical Epidemiology
Edith M Heintjes,1 Irene D Bezemer,1 Daniel Prieto-Alhambra,2,3 Elisabeth Smits,1 Helen P Booth,4 Daniel Dedman,4 Ying He,3 Fabian Hoti,5 Minna Vehkala,5 Stefan de Vogel,6 Noah Jamie Robinson,6 Kwame Appenteng,7 Fernie JA Penning-van Beest1 1PHARMO I
Autor:
Niko Välimäki, Nicholas J. Croucher, Sacha A. F. T. van Hijum, Stephen D. Bentley, Michelle van Weert, Jukka Corander, Amelieke J. H. Cremers, Hester J. Bootsma, Fred van Opzeeland, Aldert Zomer, Minna Vehkala, Christa E. van der Gaast-de Jongh, Marien I. de Jonge, Mirjam J. Knol, Jacques F. Meis, Fredrick M. Mobegi, Gerben Ferwerda
Publikováno v:
Clinical Infectious Diseases, 68, 61-69
Clinical Infectious Diseases, 68(1), 61. Univ. of Chicago Press
Clinical Infectious Diseases, 68, 1, pp. 61-69
Clinical Infectious Diseases, 68(1), 61. Univ. of Chicago Press
Clinical Infectious Diseases, 68, 1, pp. 61-69
Background: Different clinical manifestations of invasive pneumococcal disease (IPD) have thus far mainly been explained by patient characteristics. Here we studied the contribution of pneumococcal genetic variation to IPD phenotype. Methods: The ind
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8caecbd0d046a06817924391bce42ff1
https://doi.org/10.1093/cid/ciy417
https://doi.org/10.1093/cid/ciy417
Autor:
Niko Välimäki, Nicholas J. Croucher, Simon R. Harris, Julian Parkhill, Jukka Corander, Stephen D. Bentley, Minna Vehkala, Steven Y. C. Tong, Pekka Marttinen, Andrew C Steer, Antti Honkela, Mark R. Davies, Claire Chewapreecha, John A. Lees
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-8 (2016)
Nature Communications
Nature Communications
Bacterial genomes vary extensively in terms of both gene content and gene sequence. This plasticity hampers the use of traditional SNP-based methods for identifying all genetic associations with phenotypic variation. Here we introduce a computational
Publikováno v:
Genome Biology and Evolution