Zobrazeno 1 - 10
of 15
pro vyhledávání: '"David A. Micklos"'
Autor:
Liya Wang, Zhenyuan Lu, Melissa delaBastide, Peter Van Buren, Xiaofei Wang, Cornel Ghiban, Michael Regulski, Jorg Drenkow, Xiaosa Xu, Carlos Ortiz-Ramirez, Cristina F. Marco, Sara Goodwin, Alexander Dobin, Kenneth D. Birnbaum, David P. Jackson, Robert A. Martienssen, William R. McCombie, David A. Micklos, Michael C. Schatz, Doreen H. Ware, Thomas R. Gingeras
Publikováno v:
Frontiers in Plant Science, Vol 11 (2020)
MaizeCODE is a project aimed at identifying and analyzing functional elements in the maize genome. In its initial phase, MaizeCODE assayed up to five tissues from four maize strains (B73, NC350, W22, TIL11) by RNA-Seq, Chip-Seq, RAMPAGE, and small RN
Externí odkaz:
https://doaj.org/article/91fd0d0791234c748e52c93ae013e7ad
Autor:
Marcela K Tello-Ruiz, Cristina F Marco, Fei-Man Hsu, Rajdeep S Khangura, Pengfei Qiao, Sirjan Sapkota, Michelle C Stitzer, Rachael Wasikowski, Hao Wu, Junpeng Zhan, Kapeel Chougule, Lindsay C Barone, Cornel Ghiban, Demitri Muna, Andrew C Olson, Liya Wang, Doreen Ware, David A Micklos
Publikováno v:
PLoS ONE, Vol 14, Iss 10, p e0224086 (2019)
The sophistication of gene prediction algorithms and the abundance of RNA-based evidence for the maize genome may suggest that manual curation of gene models is no longer necessary. However, quality metrics generated by the MAKER-P gene annotation pi
Externí odkaz:
https://doaj.org/article/13feb84c40454a8299d72ff931d09b6c
Autor:
Xiaosa Xu, Alexander Dobin, Kenneth D. Birnbaum, Thomas R. Gingeras, Peter Van Buren, Michael C. Schatz, Cornel Ghiban, Melissa DelaBastide, Zhenyuan Lu, W. R. McCombie, Jorg Drenkow, Sara Goodwin, Michael Regulski, Carlos Ortiz-Ramírez, Xiaofei Wang, Cristina Fernandez-Marco, David A. Jackson, Robert A. Martienssen, Liya Wang, David A. Micklos, Doreen Ware
Publikováno v:
Frontiers in Plant Science
Frontiers in Plant Science, Vol 11 (2020)
Frontiers in Plant Science, Vol 11 (2020)
MaizeCODE is a project aimed at identifying and analyzing functional elements in the maize genome. In its initial phase, MaizeCODE assayed up to five tissues from four maize strains (B73, NC350, W22, TIL11) by RNA-Seq, Chip-Seq, RAMPAGE, and small RN
Autor:
Cornel Ghiban, Cristina F. Marco, Junpeng Zhan, Marcela K. Tello-Ruiz, Demitri Muna, Fei-Man Hsu, Michelle C. Stitzer, Rachael Wasikowski, Pengfei Qiao, Lindsay Barone, Doreen Ware, Sirjan Sapkota, Liya Wang, David A. Micklos, Rajdeep S. Khangura, Andrew Olson, Kapeel Chougule, Hao Wu
Publikováno v:
PLoS ONE, Vol 14, Iss 10, p e0224086 (2019)
PLoS ONE
PLoS ONE
The sophistication of gene prediction algorithms and the abundance of RNA-based evidence for the maize genome may suggest that manual curation of gene models is no longer necessary. However, quality metrics generated by the MAKER-P gene annotation pi
Autor:
Ilona Petrychyn, Christine Mazza, Cristina Guzman-Moumtzis, Daval Ram, Camila Lock, Ron Bepat, Indu Puthenkalam, Manveer Kaur, Husan Usmanov, Fabiana Cellini, Izabel Gonzalez, Andy Wu, Marianne Pena, Jeffrey Horenstein, Christine Marizzi, Tiger Zhu, Amina Gacevic, Arlene Ramos, Sean K. McKenzie, Melissa Lee, Akansha Thakur, Carlo Baria, Armani Khan, Jessica Kuppan, David A. Micklos, Alexander Dvorak, Tanveer Kaur, Antonia M. Florio, Scott Laverty, Vincent Joralemon, Jenna E. Dorey, Mohammed Khalfan, Cornel Ghiban, Nicholas Alexander Holt, Bruce Nash, Karen Han, Lena Cosentino, Rachel Sin, Francesca Heller, Noelle Scoca
Publikováno v:
PLoS ONE, Vol 13, Iss 7, p e0199015 (2018)
PLoS ONE
PLoS ONE
DNA barcoding is both an important research and science education tool. The technique allows for quick and accurate species identification using only minimal amounts of tissue samples taken from any organism at any developmental phase. DNA barcoding
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 10, p e1005755 (2017)
PLoS Computational Biology
PLoS Computational Biology
In a 2016 survey of 704 National Science Foundation (NSF) Biological Sciences Directorate principal investigators (BIO PIs), nearly 90% indicated they are currently or will soon be analyzing large data sets. BIO PIs considered a range of computationa
Publikováno v:
CBE—Life Sciences Education. 7:310-316
Today's biology educators face the challenge of training their students in modern molecular biology techniques including genomics and bioinformatics. The Dolan DNA Learning Center (DNALC) of Cold Spring Harbor Laboratory has developed and disseminate
Autor:
Mohammed Khalfan, David A. Micklos, Sheldon J. McKay, Cornel Ghiban, Jason Williams, Uwe Hilgert
Publikováno v:
XSEDE
DNA Subway bundles research-grade bioinformatics tools, high-performance computing, and databases into easy-to-use workflows. Students have been "riding" different lines since 2010, to predict and annotate genes in up to 150kb of raw DNA sequence (Re
Autor:
Elof Axel Carlson, David A. Micklos
Publikováno v:
Nature Reviews Genetics. 1:153-158
We stand at the threshold of a new century, with the whole human genome stretched out before us. Messages from science, the popular media, and the stock market suggest a world of seemingly limitless opportunities to improve human health and productiv
Autor:
Parker B. Antin, David A. Micklos, Eric Lyons, Matthew W. Vaughn, Stephen A. Goff, Nirav Merchant, Doreen Ware
Publikováno v:
PLoS Biology, Vol 14, Iss 1, p e1002342 (2016)
PLoS Biology
PLoS Biology
The iPlant Collaborative provides life science research communities access to comprehensive, scalable, and cohesive computational infrastructure for data management; identity management; collaboration tools; and cloud, high-performance, high-throughp