Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Tjelvar S G Olsson"'
Autor:
Johannes L Hörmann, Luis Yanes, Ashwin Vazhappilly, Antoine Sanner, Hannes Holey, Lars Pastewka, Matthew Hartley, Tjelvar S G Olsson
Publikováno v:
PLoS ONE, Vol 19, Iss 6, p e0306100 (2024)
Making data FAIR-findable, accessible, interoperable, reproducible-has become the recurring theme behind many research data management efforts. dtool is a lightweight data management tool that packages metadata with immutable data to promote accessib
Externí odkaz:
https://doaj.org/article/41936a9a80524347a32b334c01f3f551
Publikováno v:
eLife, Vol 4 (2015)
Inheritance of gene expression states is fundamental for cells to ‘remember’ past events, such as environmental or developmental cues. The conserved Polycomb Repressive Complex 2 (PRC2) maintains epigenetic repression of many genes in animals and
Externí odkaz:
https://doaj.org/article/227381fa56a9438b82336adda48e6ad0
Autor:
Thomas M. Adams, Tjelvar S. G. Olsson, Ricardo H. Ramírez-González, Ruth Bryant, Rosie Bryson, Pablo Eduardo Campos, Paul Fenwick, David Feuerhelm, Charlotte Hayes, Tina Henriksson, Amelia Hubbard, Radivoje Jevtić, Christopher Judge, Matthew Kerton, Jacob Lage, Clare M. Lewis, Christine Lilly, Udi Meidan, Dario Novoselović, Colin Patrick, Ruth Wanyera, Diane G. O. Saunders
Publikováno v:
BMC Genomics, Vol 22, Iss 1, Pp 1-10 (2021)
Abstract Background Transcriptomics is being increasingly applied to generate new insight into the interactions between plants and their pathogens. For the wheat yellow (stripe) rust pathogen (Puccinia striiformis f. sp. tritici, Pst) RNA-based seque
Externí odkaz:
https://doaj.org/article/f1c246df504f44cc9b988ee9d7198c11
Autor:
Tjelvar S. G. Olsson, Matthew Hartley
Publikováno v:
PeerJ, Vol 4, p e2674 (2016)
There has been steady improvement in methods for capturing bioimages. However analysing these images still remains a challenge. The Python programming language provides a powerful and flexible environment for scientific computation. It has a wide ran
Externí odkaz:
https://doaj.org/article/8da3ff7af17f402484cf689c5363abc4
Autor:
Adams, Thomas M., Tjelvar S. G. Olsson, Ramírez-González, Ricardo H., Bryant, Ruth, Bryson, Rosie, Campos, Pablo Eduardo, Fenwick, Paul, Feuerhelm, David, Hayes, Charlotte, Henriksson, Tina, Hubbard, Amelia, Jevtić, Radivoje, Judge, Christopher, Kerton, Matthew, Lage, Jacob, Lewis, Clare M., Lilly, Christine, Meidan, Udi, Novoselović, Dario, Patrick, Colin, Wanyera, Ruth, Saunders, Diane G. O.
Additional file 2: Supplementary Figure S1. Flexible filtering can be applied in the wheat expression browser. All expression values presented are for the candidate CAZY effector Pst_13661 in the Pst-130 genome (termed PST130_13650) [40]. Illustratio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55678de5d1a750c77a3dc0aeddf7fc35
Autor:
Udi Meidan, Ricardo H. Ramirez-Gonzalez, Tjelvar S. G. Olsson, Jacob Lage, Radivoje Jevtić, Colin Patrick, Matthew Kerton, Ruth Bryant, Diane G. O. Saunders, Charlotte Hayes, Pablo Eduardo Campos, Rosie Bryson, Christine Lilly, Ruth Wanyera, Dario Novoselović, Clare M. Lewis, Thomas M. Adams, David Feuerhelm, Amelia Hubbard, Tina Henriksson, Christopher Judge, Paul Fenwick
Publikováno v:
BMC Genomics
BMC Genomics 22 : Article number: 166 (2021)
INTA Digital (INTA)
Instituto Nacional de Tecnología Agropecuaria
instacron:INTA
BMC Genomics, Vol 22, Iss 1, Pp 1-10 (2021)
BMC Genomics 22 : Article number: 166 (2021)
INTA Digital (INTA)
Instituto Nacional de Tecnología Agropecuaria
instacron:INTA
BMC Genomics, Vol 22, Iss 1, Pp 1-10 (2021)
Transcriptomics is being increasingly applied to generate new insight into the interactions between plants and their pathogens. For the wheat yellow (stripe) rust pathogen (Puccinia striiformis f. sp. tritici, Pst) RNA-based sequencing (RNA-Seq) has
Autor:
Matthew Hartley, Tjelvar S. G. Olsson
Publikováno v:
Patterns, Vol 1, Iss 5, Pp 100073-(2020)
Patterns
Patterns
Summary Deep learning, a set of approaches using artificial neural networks, has generated rapid recent advancements in machine learning. Deep learning does, however, have the potential to reduce the reproducibility of scientific results. Model outpu
Autor:
Caroline Dean, Scott Berry, Matthew Hartley, Martin Howard, Tjelvar S. G. Olsson, Hongchun Yang
Publikováno v:
Science. 357:1142-1145
Gene silencing by Polycomb complexes is central to eukaryotic development. Cold-induced epigenetic repression of FLOWERING LOCUS C (FLC) in the plant Arabidopsis provides an opportunity to study initiation and maintenance of Polycomb silencing. Here,
Autor:
Christine Faulkner, Matthew Gilliham, Cécilia Cheval, Anuphon Laohavisit, David Chiasson, Bradleigh Hocking, Bo Xu, Ken Shirasu, Tjelvar S. G. Olsson
Publikováno v:
The New Phytologist
Summary Plants sense microbial signatures via activation of pattern recognition receptors (PPRs), which trigger a range of cellular defences. One response is the closure of plasmodesmata, which reduces symplastic connectivity and the capacity for dir
Autor:
Tjelvar S. G. Olsson, Matthew Hartley
Publikováno v:
PeerJ
PeerJ, Vol 7, p e6562 (2019)
PeerJ, Vol 7, p e6562 (2019)
The explosion in volumes and types of data has led to substantial challenges in data management. These challenges are often faced by front-line researchers who are already dealing with rapidly changing technologies and have limited time to devote to