Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Liudmila S. Mainzer"'
Autor:
Azza E. Ahmed, Joshua M. Allen, Tajesvi Bhat, Prakruthi Burra, Christina E. Fliege, Steven N. Hart, Jacob R. Heldenbrand, Matthew E. Hudson, Dave Deandre Istanto, Michael T. Kalmbach, Gregory D. Kapraun, Katherine I. Kendig, Matthew Charles Kendzior, Eric W. Klee, Nate Mattson, Christian A. Ross, Sami M. Sharif, Ramshankar Venkatakrishnan, Faisal M. Fadlelmola, Liudmila S. Mainzer
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
Abstract The changing landscape of genomics research and clinical practice has created a need for computational pipelines capable of efficiently orchestrating complex analysis stages while handling large volumes of data across heterogeneous computati
Externí odkaz:
https://doaj.org/article/71063f0cca8645c6a434d845100e2c90
Autor:
Jacob R. Heldenbrand, Saurabh Baheti, Matthew A. Bockol, Travis M. Drucker, Steven N. Hart, Matthew E. Hudson, Ravishankar K. Iyer, Michael T. Kalmbach, Katherine I. Kendig, Eric W. Klee, Nathan R. Mattson, Eric D. Wieben, Mathieu Wiepert, Derek E. Wildman, Liudmila S. Mainzer
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-2 (2019)
Following publication of the original article [1], the author explained that Table 2 is displayed incorrectly. The correct Table 2 is given below. The original article has been corrected.
Externí odkaz:
https://doaj.org/article/1d2bd5275f844ba98289f769d1c30948
Autor:
Katherine I. Kendig, Saurabh Baheti, Matthew A. Bockol, Travis M. Drucker, Steven N. Hart, Jacob R. Heldenbrand, Mikel Hernaez, Matthew E. Hudson, Michael T. Kalmbach, Eric W. Klee, Nathan R. Mattson, Christian A. Ross, Morgan Taschuk, Eric D. Wieben, Mathieu Wiepert, Derek E. Wildman, Liudmila S. Mainzer
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
As reliable, efficient genome sequencing becomes ubiquitous, the need for similarly reliable and efficient variant calling becomes increasingly important. The Genome Analysis Toolkit (GATK), maintained by the Broad Institute, is currently the widely
Externí odkaz:
https://doaj.org/article/b076819b29154520ae8fcd0ae92e64c5
Autor:
Jacob R Heldenbrand, Saurabh Baheti, Matthew A Bockol, Travis M Drucker, Steven N Hart, Matthew E Hudson, Ravishankar K Iyer, Michael T Kalmbach, Katherine I Kendig, Eric W Klee, Nathan R Mattson, Eric D Wieben, Mathieu Wiepert, Derek E Wildman, Liudmila S Mainzer
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-9 (2019)
Abstract Background Use of the Genome Analysis Toolkit (GATK) continues to be the standard practice in genomic variant calling in both research and the clinic. Recently the toolkit has been rapidly evolving. Significant computational performance impr
Externí odkaz:
https://doaj.org/article/d1ba367575504c22a9097a3dd969475e
Autor:
Azza E Ahmed, Jacob Heldenbrand, Yan Asmann, Faisal M Fadlelmola, Daniel S Katz, Katherine Kendig, Matthew C Kendzior, Tiffany Li, Yingxue Ren, Elliott Rodriguez, Matthew R Weber, Justin M Wozniak, Jennie Zermeno, Liudmila S Mainzer
Publikováno v:
PLoS ONE, Vol 14, Iss 7, p e0211608 (2019)
Bioinformatics research is frequently performed using complex workflows with multiple steps, fans, merges, and conditionals. This complexity makes management of the workflow difficult on a computer cluster, especially when running in parallel on larg
Externí odkaz:
https://doaj.org/article/1e09fc94f6494e458150290d4c0cf43d
Autor:
Zachary D Stephens, Matthew E Hudson, Liudmila S Mainzer, Morgan Taschuk, Matthew R Weber, Ravishankar K Iyer
Publikováno v:
PLoS ONE, Vol 11, Iss 11, p e0167047 (2016)
An obstacle to validating and benchmarking methods for genome analysis is that there are few reference datasets available for which the "ground truth" about the mutational landscape of the sample genome is known and fully validated. Additionally, the
Externí odkaz:
https://doaj.org/article/469cc3c46b6b4fb7b669d3edc42d6c3b