Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Michael T. Kalmbach"'
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
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-8 (2017)
Abstract Background The sequence logo has been widely used to represent DNA or RNA motifs for more than three decades. Despite its intelligibility and intuitiveness, the traditional sequence logo is unable to display the intra-motif dependencies and
Externí odkaz:
https://doaj.org/article/8033d5b9c8fb48e3b477e55e36cb519f
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:
Susan L. Slager, Shulan Tian, Huihuang Yan, Tamas Ordog, Pan Zhang, Neil E. Kay, Paul J. Hampel, Henan Zhang, Thomas E. Witzig, Wei Ding, Jeong Heon Lee, Timothy G. Call, Eric W. Klee, Michael T Kalmbach
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Scientific Reports
Scientific Reports
T cell prolymphocytic leukemia (T-PLL) is a rare disease with aggressive clinical course. Cytogenetic analysis, whole-exome and whole-genome sequencing have identified primary structural alterations in T-PLL, including inversion, translocation and co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58a1c964b84e7fda64b59d1d3bd524dc
https://doaj.org/article/43304e766b734189afed60f90539ff6d
https://doaj.org/article/43304e766b734189afed60f90539ff6d
Autor:
Sami M. Sharif, Ramshankar Venkatakrishnan, Faisal M. Fadlelmola, Gregory D. Kapraun, Michael T Kalmbach, Christian A. Ross, Joshua Allen, Tajesvi Bhat, Matthew Kendzior, Nate Mattson, Jacob R Heldenbrand, Dave Deandre Istanto, Eric W. Klee, Steven N. Hart, Christina E Fliege, Azza Ahmed, Katherine I Kendig, Liudmila Sergeevna Mainzer, Matthew E. Hudson, Prakruthi Burra
Publikováno v:
Scientific Reports, 11(1):21680. Nature Publishing Group
Scientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
Scientific Reports
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 computational envi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ec69f517f32425f2f06d7781b372a98
https://doi.org/10.1038/s41598-021-99288-8
https://doi.org/10.1038/s41598-021-99288-8
Autor:
Michael T Kalmbach, Matthew E. Hudson, Derek E. Wildman, Eric D. Wieben, Liudmila Sergeevna Mainzer, Travis M. Drucker, Saurabh Baheti, Steven N. Hart, Eric W. Klee, Mathieu Wiepert, Ravishankar K. Iyer, Nathan R Mattson, Matthew A. Bockol, Jacob R Heldenbrand, Katherine I Kendig
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed17efc114c3533c66e3c1e7bc7974a2
https://doaj.org/article/1d2bd5275f844ba98289f769d1c30948
https://doaj.org/article/1d2bd5275f844ba98289f769d1c30948
Autor:
Matthew E. Hudson, Steven N. Hart, Katherine I Kendig, Michael T Kalmbach, Eric W. Klee, Mathieu Wiepert, Nathan R Mattson, Matthew A. Bockol, Derek E. Wildman, Travis M. Drucker, Jacob R Heldenbrand, Liudmila Sergeevna Mainzer, Eric D. Wieben, Saurabh Baheti, Ravishankar K. Iyer
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-9 (2019)
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-9 (2019)
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 improvements
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::724a7092def1cb8f347a1e45e31de872
https://pubmed.ncbi.nlm.nih.gov/31847808
https://pubmed.ncbi.nlm.nih.gov/31847808
Autor:
Susan L. Slager, Shuxia Peng, Michael T Kalmbach, Shulan Tian, Huihuang Yan, Krutika S. Gaonkar, Aditya Bhagwate, Wei Ding, Jeanette E. Eckel-Passow
Publikováno v:
PLoS ONE
PLoS ONE, Vol 14, Iss 4, p e0214723 (2019)
PLoS ONE, Vol 14, Iss 4, p e0214723 (2019)
Chromatin immunoprecipitation and sequencing (ChIP-seq) has been widely used to map DNA-binding proteins, histone proteins and their modifications. ChIP-seq data contains redundant reads termed duplicates, referring to those mapping to the same genom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d90dbe64ec5542947905bce91086b562
https://pubmed.ncbi.nlm.nih.gov/30943272
https://pubmed.ncbi.nlm.nih.gov/30943272
Autor:
Eric D. Wieben, Saurabh Baheti, Matthew A. Bockol, Jacob R Heldenbrand, Mathieu Wiepert, Eric W. Klee, Travis M. Drucker, Liudmila Sergeevna Mainzer, Nathan R Mattson, Steven N. Hart, Derek E. Wildman, Matthew E. Hudson, Mikel Hernaez, Katherine I Kendig, Michael T Kalmbach, Christian A. Ross, Morgan Taschuk
As reliable, efficient genome sequencing becomes more 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 wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d288965792ac62c9dc0530dd8dd654a
