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Haley J Abel

Showing results (1-10 of 40) with videos related to

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BMC Proceedings|March 1, 2012
Case-control association testing by graphical modeling for the Genetic Analysis Workshop 17 mini-exome sequence dataHaley J Abel, Alun Thomas
Statistical Applications in Genetics and Molecular Biology|February 5, 2011
Accuracy and computational efficiency of a graphical modeling approach to linkage disequilibrium estimationHaley J Abel, Alun Thomas
Cancer Genetics|January 11, 2014
Detection of structural DNA variation from next generation sequencing data: a review of informatic approachesHaley J Abel, Eric J Duncavage
Bioinformatics (Oxford, England)|December 30, 2016
SVScore: an impact prediction tool for structural variationLiron Ganel, Haley J Abel, , et al.
The Journal of Molecular Diagnostics : JMD|November 19, 2016
In Silico Proficiency Testing for Clinical Next-Generation SequencingEric J Duncavage, Haley J Abel, John D Pfeifer
Experimental and Molecular Pathology|June 3, 2014
Copy number variants in clinical next-generation sequencing data can define the relationship between simultaneous tumors in an individual patientJennifer K Sehn, Haley J Abel, Eric J Duncavage
Investigative Ophthalmology & Visual Science|January 5, 2002
Retinal pigment epithelium of the rat express CD81, the target of the anti-proliferative antibody (TAPA)Eldon E Geisert, Haley J Abel, Liying Fan, et al.
Experimental and Molecular Pathology|April 26, 2015
A wide spectrum of EGFR mutations in glioblastoma is detected by a single clinical oncology targeted next-generation sequencing panelPatrick J Cimino, Andy Bredemeyer, Haley J Abel, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|March 20, 2012
Targeted next generation sequencing of clinically significant gene mutations and translocations in leukemiaEric J Duncavage, Haley J Abel, Philippe Szankasi, et al.
Bioinformatics (Oxford, England)|September 30, 2010
SLOPE: a quick and accurate method for locating non-SNP structural variation from targeted next-generation sequence dataHaley J Abel, Eric J Duncavage, Nils Becker, et al.
Pageof 4

Showing results (1-10 of 40) with videos related to

Sort By:
Pageof 4
BMC Proceedings|March 1, 2012
Case-control association testing by graphical modeling for the Genetic Analysis Workshop 17 mini-exome sequence dataHaley J Abel, Alun Thomas
Statistical Applications in Genetics and Molecular Biology|February 5, 2011
Accuracy and computational efficiency of a graphical modeling approach to linkage disequilibrium estimationHaley J Abel, Alun Thomas
Cancer Genetics|January 11, 2014
Detection of structural DNA variation from next generation sequencing data: a review of informatic approachesHaley J Abel, Eric J Duncavage
Bioinformatics (Oxford, England)|December 30, 2016
SVScore: an impact prediction tool for structural variationLiron Ganel, Haley J Abel, , et al.
The Journal of Molecular Diagnostics : JMD|November 19, 2016
In Silico Proficiency Testing for Clinical Next-Generation SequencingEric J Duncavage, Haley J Abel, John D Pfeifer
Experimental and Molecular Pathology|June 3, 2014
Copy number variants in clinical next-generation sequencing data can define the relationship between simultaneous tumors in an individual patientJennifer K Sehn, Haley J Abel, Eric J Duncavage
Investigative Ophthalmology & Visual Science|January 5, 2002
Retinal pigment epithelium of the rat express CD81, the target of the anti-proliferative antibody (TAPA)Eldon E Geisert, Haley J Abel, Liying Fan, et al.
Experimental and Molecular Pathology|April 26, 2015
A wide spectrum of EGFR mutations in glioblastoma is detected by a single clinical oncology targeted next-generation sequencing panelPatrick J Cimino, Andy Bredemeyer, Haley J Abel, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|March 20, 2012
Targeted next generation sequencing of clinically significant gene mutations and translocations in leukemiaEric J Duncavage, Haley J Abel, Philippe Szankasi, et al.
Bioinformatics (Oxford, England)|September 30, 2010
SLOPE: a quick and accurate method for locating non-SNP structural variation from targeted next-generation sequence dataHaley J Abel, Eric J Duncavage, Nils Becker, et al.
Pageof 4