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Kurt N. Hetrick

dblp:60/7393 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2011
0000-0002-9368-5656ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics › structural variation
copy number variant analysis
0.112011
Performance assessment of copy number microarray platforms using a spike-in experiment · Bioinform. 2011
Bioinformatics and computational biology
genomics
0.112011
Performance assessment of copy number microarray platforms using a spike-in experiment · Bioinform. 2011
Bioinformatics and computational biology › statistical genetics
genotype calling
0.112009
R/Bioconductor software for Illumina's Infinium whole-genome genotyping BeadChips · Bioinform. 2009
Bioinformatics and computational biology › genomics
genotyping
0.112009
R/Bioconductor software for Illumina's Infinium whole-genome genotyping BeadChips · Bioinform. 2009
Bioinformatics and computational biology › gene expression analysis
microarray data analysis
0.112009
R/Bioconductor software for Illumina's Infinium whole-genome genotyping BeadChips · Bioinform. 2009
Bioinformatics and computational biology › genomics
single nucleotide polymorphism
0.112009
R/Bioconductor software for Illumina's Infinium whole-genome genotyping BeadChips · Bioinform. 2009

Methods — techniques the papers use, named apart from their topics

spike-in experiment · 0.1sensitivity and specificity analysis · 0.1CRLMM algorithm · 0.1
YearPublicationVenuePosition
2011 Performance assessment of copy number microarray platforms using a spike-in experiment
abstract
MOTIVATION: Changes in the copy number of chromosomal DNA segments [copy number variants (CNVs)] have been implicated in human variation, heritable diseases and cancers. Microarray-based platforms are the current established technology of choice for studies reporting these discoveries and constitute the benchmark against which emergent sequence-based approaches will be evaluated. Research that depends on CNV analysis is rapidly increasing, and systematic platform assessments that distinguish strengths and weaknesses are needed to guide informed choice. RESULTS: We evaluated the sensitivity and specificity of six platforms, provided by four leading vendors, using a spike-in experiment. NimbleGen and Agilent platforms outperformed Illumina and Affymetrix in accuracy and precision of copy number dosage estimates. However, Illumina and Affymetrix algorithms that leverage single nucleotide polymorphism (SNP) information make up for this disadvantage and perform well at variant detection. Overall, the NimbleGen 2.1M platform outperformed others, but only with the use of an alternative data analysis pipeline to the one offered by the manufacturer. AVAILABILITY: The data is available from http://rafalab.jhsph.edu/cnvcomp/. CONTACT: [email protected]; [email protected]; [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Eitan Halper-Stromberg, Laurence Frelin, Ingo Ruczinski, Robert B. Scharpf, Chunfa Jie, Benilton S. Carvalho, Haiping Hao, Kurt N. Hetrick, Anne Jedlicka, Amanda Dziedzic, Kim Doheny, Alan F. Scott, Steve Baylin, Jonathan Pevsner, Forrest Spencer, Rafael A. Irizarry
Bioinform.8
2009 R/Bioconductor software for Illumina's Infinium whole-genome genotyping BeadChips
abstract
UNLABELLED: Illumina produces a number of microarray-based technologies for human genotyping. An Infinium BeadChip is a two-color platform that types between 10(5) and 10(6) single nucleotide polymorphisms (SNPs) per sample. Despite being widely used, there is a shortage of open source software to process the raw intensities from this platform into genotype calls. To this end, we have developed the R/Bioconductor package crlmm for analyzing BeadChip data. After careful preprocessing, our software applies the CRLMM algorithm to produce genotype calls, confidence scores and other quality metrics at both the SNP and sample levels. We provide access to the raw summary-level intensity data, allowing users to develop their own methods for genotype calling or copy number analysis if they wish. AVAILABILITY AND IMPLEMENTATION: The crlmm Bioconductor package is available from http://www.bioconductor.org. Data packages and documentation are available from http://rafalab.jhsph.edu/software.html.
Matthew E. Ritchie, Benilton S. Carvalho, Kurt N. Hetrick, Simon Tavaré, Rafael A. Irizarry
Bioinform.3