Results 81 to 90 of about 1,988,937 (263)

Ensemble AnalySis with Interpretable Genomic Prediction (EasiGP): Computational tool for interpreting ensembles of genomic prediction models

The Plant Genome
An ensemble of multiple genomic prediction models has grown in popularity due to consistent prediction performance improvements in crop breeding. However, technical tools that analyze the predictive behavior at the genome level are lacking.
Shunichiro Tomura, Melanie J. Wilkinson, Owen Powell, Mark Cooper   +3 more
doaj   +1 more source

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

FEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source

The founding charter of the Genomic Observatories Network [PDF]

, 2014
The co-authors of this paper hereby state their intention to work together to launch the Genomic Observatories Network (GOs Network) for which this document will serve as its Founding Charter.
Leong, Jo Ann, Clark, M., Gloeckner, Frank Oliver, Gerdts, G., Coddington, Jonathan, Yuri P Springer, Naiara Rodriguez-Ezpeleta, Springer, Yuri P., Karsten Schonrogge, Bietz, Matthew J, Angel Borja, Marteinsson, Viggo Thor, Penny R Hirsch, Clark, M. S., Scholin, C., Wooley, J. C., Wooley, J., Meyer, C., Tetsukazu Yahara, Scholan, Chris, Patricia Wecker, Nathalie Simon, Hanson, Paul C., Koo, M. S., D. Myrold, David, Gates, R. D., null null, GOs-COS, Leong, J-A., Amaral-Zettler, L., Jean-Marc Hero, Meyer, Folker, Antje Wichels, Fuhrman, J., Jonathan Coddington, Scholin, Chris, Drummond, Alexei, Marteinsson, Viggó, Gerdts, Gunnar, Hero, J., Glöckner, Frank, Simon, Nathalie, Kotoulas, Gergios, Paul C Hanson, Vogler, Alfried P., Stone, G., Stones-Havas, Steve, Knight, R., Levente Bodrossy, Hirsch, Penny R., Véronique Berteaux-Lecellier, Vogler, A., Deck, J., Linda Amaral-Zettler, Field, D., Geller, J., Neil Davies, Alfried P Vogler, Schonrogge, K., Lowe, Andrew J., Wooley, John C., Polymenakou, P., Steve Stones-Havas, John C Wooley, Zingone, Adriana, co-authors, 6 7, Barbier, M., Morrison, N., Ratnasingham, Sujeevan, Field, Dawn, Bertilsson, S., Vogler, Alfried P, Barbier, Michèle, Wichels, Antje, Kate M Thibault, Gillespie, Rosemary, Marteinsson, V., Hanson, P., Bodrossy, Levente, Drummond, A., Valette-Silver, Nathalie J, Serge Planes, Ratnasingham, S., Barker, K., ?, ?, Bertilsson, Stefan, Stone, Graham N., Anna Klindworth, Jeanthon, C., Sansone, S., Springer, Y. P., Planes, Serge, Parnell, J., Chris Meyer, Hanson, P. C., Matthias Obst, Michelle S Koo, Jeanthon, Christian, Alexei Drummond, Leong, Jo-Ann, Glockner, F. O., Jansson, Janet, Myrold, David D., Jansson, Janet, K., Stone, Graham N, Sansone, Susanna-Assunta, Lowe, A., Parnell, John, Glöckner, F., Obst, M., Thibault, K. M., Barker, Katherine, Kao, R., Marteinsson, V. T., Hirsch, Penny, Thibault, Kate M., Koo, M., Davies, Neil, Sujeevan Ratnasingham, Hirsch, P., Rosemary Gillespie, Wecker, Patricia, Polymenakou, Paraskevi N, Gilbert, J., Vogler, A. P., Simon, N., Myrold, D., Faith, D., Koo, Michelle S, Gates, Ruth D., Paraskevi N Polymenakou, Andrew J Lowe, Yahara, T., Kelly Goodwin, Clark, Melody S, Jack Gilbert, Parker, Stefanie, Rodriguez- Ezpeleta, Naiara, Rodriguez-Ezpeleta, Naiara, Borja, A., Hirsch, Penny R, Clark, Melody S., Knight, Rob, George K Roderick, Yahara, Tetsukazu, Norman Morrison, Roderick, George K, John Deck, David Hoekman, Faith, Daniel P, Stephanie Parker, Gates, R., Hanson, Paul C, Fuhrman, Jed, Toonen, R., Berteaux-Lecellier, Véronique, Parnell, Jacob J., Wichels, A., Drummond, Alexei J., Meyer, Chris, Rebecca Kao, Kottmann, Renzo, Goodwin, K., Zingone, A., Wecker, P., Jason Bobe, Bobe, Jason, Gunnar Gerdts, Planes, S., Leong, J., Jansson, J., John Jacob Parnell, Hero, Jean-Marc, Katherine Barker, Roderick, G. K., Graham N Stone, Hero, J-M., Jed Fuhrman, Susanna-Assunta Sansone, Bietz, M., Pafilis, Evangelos, Renzo Kottmann, Morrison, Norman, Wooley, John C, Parker, Stephanie, Dawn Field, Deck, John, Roderick, G., Springer, Yuri P, Rob Toonen, Matthew J Bietz, Myrold, D. D., Parker, S., Berteaux-Lecellier, V., Hoekman, David, Valette-Silver, N., Ruth D Gates, Bicak, M., Hoekman, D., Geller, Jonathan, Christian Jeanthon, Polymenakou, P. N., Sansone, S-A., Lowe, Andrew J, Kotoulas, Georgios, Amaral-Zettler, Linda, Glöckner, Frank Oliver, Springer, Y., Georgios Kotoulas, Janet Jansson, Folker Meyer, Borja, Angel, Faith, Daniel P., Kottmann, R., Schonrogge, Karsten, Springer, Yuri, Obst, Matthias, Michèle Barbier, Nathalie J Valette-Silver, Bietz, Matthew J., Roderick, George K., Bietz, M. J., Goodwin, Kelly, Stefan Bertilsson, Gillespie, R., Valette-Silver, N. J., Polymenakou, Paraskevi N., Parnell, J. J., Bobe, J., Meyer, F., Jonathan Geller, Davies, N., Stone, G. N., Bicak, Mesude, Frank Oliver Glöckner, David D Myrold, Coddington, J., Gilbert, Jack, Chris Scholin, Rodriguez-Ezpeleta, N., Myrold, David D, Thibault, Kate M, Melody S Clark, Gos-Cos, Gos-Cos, Stones-Havas, S., Evangelos Pafilis, Gates, Ruth D, Klindworth, Anna, Klindworth, A., Jo-Ann Leong, Pafilis, E., Kotoulas, G., Hirsch, P. R., Koo, Michelle S., Viggó Thór Marteinsson, Mesude Bicak, Jansson, Janet,, Faith, D. P., Adriana Zingone, Rob Knight, Bodrossy, L., Thibault, K., Daniel P Faith, Toonen, Rob, Valette-Silver, Nathalie J., Kao, Rebecca, Parnell, John Jacob   +266 more
core   +2 more sources

Survival prediction from clinico-genomic models - a comparative study

BMC Bioinformatics, 2009
Background Survival prediction from high-dimensional genomic data is an active field in today's medical research. Most of the proposed prediction methods make use of genomic data alone without considering established clinical covariates that often are ...
Nygård Ståle, Bøvelstad Hege M, Borgan Ørnulf   +2 more
doaj   +1 more source

The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation

FEBS Letters, EarlyView.
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge, Vivian Pogenberg, Alexander Baumgart, Bente Siebels, Hartmut Schlüter, Michael Hecht‐Bucher, Aymelt Itzen   +6 more
wiley   +1 more source

TACOA - Taxonomic classification of environmental genomic fragments using a kernelized nearest neighbor approach [PDF]

, 2009
Diaz NN, Krause L, Goesmann A, Niehaus K, Nattkemper TW. TACOA - Taxonomic classification of environmental genomic fragments using a kernelized nearest neighbor approach. BMC Bioinformatics.
Nattkemper, Tim Wilhelm ; https://orcid.org/, Nattkemper Tim W, Naryttza N Diaz, Lutz Krause, Krause, Lutz, Niehaus Karsten, Diaz Naryttza N, Goesmann, Alexander ; https://orcid.org/, Goesmann Alexander, Niehaus, Karsten, Tim W Nattkemper, Goesmann, Alexander, Karsten Niehaus, Diaz, Naryttza N., Nattkemper, Tim W., Krause Lutz, Alexander Goesmann   +16 more
core   +1 more source

Enhancing Genome-Enabled Prediction by Bagging Genomic BLUP

PLoS ONE, 2014
We examined whether or not the predictive ability of genomic best linear unbiased prediction (GBLUP) could be improved via a resampling method used in machine learning: bootstrap aggregating sampling ("bagging"). In theory, bagging can be useful when the predictor has large variance or when the number of markers is much larger than sample size ...
Gianola D, Weigel KA, Kramer N, Stella A, Schon CC   +4 more
openaire   +4 more sources

Metastatic niche shaped by host factors influences disseminated cancer cell fate

FEBS Letters, EarlyView.
Metastasis is shaped not only by cancer cells but also by the environments they encounter. This review explores how factors such as aging, diet, the microbiome, lifestyle, and environmental exposures remodel organ‐specific niches in the lung, liver, bone, and brain, influencing where metastatic cells survive, remain dormant, or grow, and ultimately ...
Gwennan Delyth Ward, Álvaro Ruiz‐Tabas, Patricia Altea‐Manzano   +2 more
wiley   +1 more source

Statistical considerations for genomic selection [PDF]

Frontiers of Agricultural Science and Engineering, 2017
Genomic selection is becoming increasingly important in animal and plant breeding, and is attracting greater attention for human disease risk prediction.
Huimin KANG, Lei ZHOU, Jianfeng LIU
doaj   +1 more source

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

Molecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera, Laura Vela‐Martín, Pablo Fernández‐Navarro, José Luis López‐Lorenzo, Javier Cornago, Pilar Llamas, Eduardo Pérez‐Gómez, José Luis Marín‐Rubio, Manuel Fresno, Javier Santos, José Fernández‐Piqueras, María Villa‐Morales   +11 more
wiley   +1 more source