Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jonathan E. M. Keebler"'
Autor:
Jian Zhang, Robert G Franks, Xiang Liu, Ming Kang, Jonathan E M Keebler, Jennifer E Schaff, Hong-Wen Huang, Qiu-Yun Jenny Xiang
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e82674 (2013)
BACKGROUND: Transcriptome sequencing analysis is a powerful tool in molecular genetics and evolutionary biology. Here we report the results of de novo 454 sequencing, characterization, and comparison of inflorescence transcriptomes of two closely rel
Externí odkaz:
https://doaj.org/article/b4e51a2b8055427a8883f2480a7d2379
Autor:
Jennifer E. Schaff, Susana R. Milla-Lewis, M. Carolina Zuleta, Jonathan E. M. Keebler, Steven E. Mulkey
Publikováno v:
Crop Science. 54:401-412
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a01229730ff3da77c202e010e418d744
https://doi.org/10.2135/cropsci2013.04.0246
https://doi.org/10.2135/cropsci2013.04.0246
Autor:
David Goldstein, Andrew S. Allen, Jonathan E. M. Keebler, Shamil R. Sunyaev, Slavé Petrovski, Steven Petrou, Elliott H. Margulies
Publikováno v:
Nature Reviews Genetics. 14:460-470
Next-gene ration sequencing is becoming the primary discovery tool in human genetics. There have been many clear successes in identifying genes that are responsible for Mendelian diseases, and sequencing approaches are now poised to identify the muta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a704db995e733f5ff3175230317332ee
https://doi.org/10.1038/nrg3455
https://doi.org/10.1038/nrg3455
Publikováno v:
Statistical Applications in Genetics and Molecular Biology. 11
Recent advances in high-throughput DNA sequencing technologies and associated statistical analyses have enabled in-depth analysis of whole-genome sequences. As this technology is applied to a growing number of individual human genomes, entire familie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::100e94078354fac5235a7b63b07895d7
https://doi.org/10.2202/1544-6115.1713
https://doi.org/10.2202/1544-6115.1713
Autor:
Qiu-Yun Jenny Xiang, Jian Zhang, Robert G. Franks, Hongwen Huang, Xiang Liu, Jonathan E. M. Keebler, Ming Kang, Jennifer E. Schaff
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e82674 (2013)
PLoS ONE
PLoS ONE
Background Transcriptome sequencing analysis is a powerful tool in molecular genetics and evolutionary biology. Here we report the results of de novo 454 sequencing, characterization, and comparison of inflorescence transcriptomes of two closely rela
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a2f1590e1415d4685777b7df8bbb1ea
https://doi.org/10.1371/journal.pone.0082674
https://doi.org/10.1371/journal.pone.0082674