Christopher T. Workman

Dr. Christopher T. Workman

orcid

Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 September 2007 in Nature Protocols
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Journal Article
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MCMelissa S Cline
Melissa S Cline
MSMichael Smoot
Michael Smoot
ECEthan Cerami
Ethan Cerami
AKAllan Kuchinsky
Allan Kuchinsky
NLNerius Landys
Nerius Landys
GBGary Bader
Gary Bader

1 January 2005 in Nature Biotechnology
Verified
Journal Article
Closed access
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MTMartin Tompa
Martin Tompa
NLNan Li
Nan Li
TBTimothy L Bailey
Timothy L Bailey
GCGeorge Church
George Church
BMBart De Moor
Bart De Moor
ZZZhou Zhu
Zhou Zhu

28 November 2016 in Nature Methods
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Journal Article
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TLTaibo Li
Taibo Li
RWRasmus Wernersson
Rasmus Wernersson
RHRasmus B Hansen
Rasmus B Hansen
HHHeiko Horn
Heiko Horn
JMJohnathan Mercer
Johnathan Mercer
KLKasper Lage
Kasper Lage

1 February 2016 in Cell Metabolism
Verified
Journal Article
Closed access
IDIda Donkin
Ida Donkin
SVSoetkin Versteyhe
Soetkin Versteyhe
LILars Roed Ingerslev
Lars Roed Ingerslev
KQKui Qian
Kui Qian
MMMie Mechta
Mie Mechta
RBRomain Barrès
Romain Barrès

30 August 2002 in Genome Biology
Verified
Journal Article
Open access
CWChristopher T. Workman
Christopher T. Workman
LJLars Juhl Jensen
Lars Juhl Jensen
HJHanne Jarmer
Hanne Jarmer
RBRandy Berka
Randy Berka
LGLaurent Gautier
Laurent Gautier
SKSteen Knudsen
Steen Knudsen
Microarray data are subject to multiple sources of variation, of which biological sources are of interest whereas most others are only confounding. Recent work has identified systematic sources of variation that are intensity-dependent and non-linear in nature. Systematic sources of variation are not limited to the differing properties of the cyanine dyes Cy(5) and Cy(3) as observed in cDNA arrays, but are the general case for both oligonucleotide microarray (Affymetrix GeneChips) and cDNA microarray data. Current normalization techniques are most often linear and therefore not capable of fully correcting for these effects. We present here a simple and robust non-linear method for normalization using array signal distribution analysis and cubic splines. These methods compared favorably to normalization using robust local-linear regression (lowess). The application of these methods to oligonucleotide arrays reduced the relative error between replicates by 5-10% compared with a standard global normalization method. Application to cDNA arrays showed improvements over the standard method and over Cy(3)-Cy(5) normalization based on dye-swap replication. In addition, a set of known differentially regulated genes was ranked higher by the t-test. In either cDNA or Affymetrix technology, signal-dependent bias was more than ten times greater than the observed print-tip or spatial effects. Intensity-dependent normalization is important for both high-density oligonucleotide array and cDNA array data. Both the regression and spline-based methods described here performed better than existing linear methods when assessed on the variability of replicate arrays. Dye-swap normalization was less effective at Cy(3)-Cy(5) normalization than either regression or spline-based methods alone.

1 January 1995 in Nucleic Acids Research
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Journal Article
Closed access
FWFrancine Wincott
Francine Wincott
ADAnthony DiRenzo
Anthony DiRenzo
CSChris Shaffer
Chris Shaffer
SGSusan Grimm
Susan Grimm
DTDanuta Tracz
Danuta Tracz
NUNassim Usman
Nassim Usman
Improvements in the synthesis, deprotection and purification of oligoribonucleotides are described. These advances allow for reduced synthesis and deprotection times, while improving product yield. Coupling times are reduced by half using 5-ethylthio-1H-tetrazole (S-ethyltetrazole) as the activator. Base and 2'-O-t-butyldimethylsilyl deprotection with methylamine (MA) and anhydrous triethylamine/hydrogen fluoride in N-methylpyrrolidinone (TEA.HF/NMP), respectively, requires a fraction of the time necessitated by current standard methods. In addition, the ease of oligoribonucleotide purification and analysis have been significantly enhanced using anion exchange chromatography. These new methods improve the yield and quality of the oligoribonucleotides synthesized. Hammerhead ribozymes synthesized utilizing the described methods exhibited no diminution in catalytic activity.