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Manuela Hummel

dblp:84/6872 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2011
0000-0002-7870-2227ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2 · 2 first-author

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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis
targeted sequencing
0.112011
TEQC: an R package for quality control in target capture experiments · Bioinform. 2011
Bioinformatics and computational biology
gene expression analysis
0.112008
GlobalANCOVA: exploration and assessment of gene group effects · Bioinform. 2008
Bioinformatics and computational biology › functional genomics › functional enrichment analysis
gene set enrichment analysis
0.112008
GlobalANCOVA: exploration and assessment of gene group effects · Bioinform. 2008

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

duplicate analysis · 0.1coverage uniformity analysis · 0.1permutation test · 0.1linear model · 0.1asymptotic test · 0.1
YearPublicationVenuePosition
2011 TEQC: an R package for quality control in target capture experiments
abstract
UNLABELLED: TEQC is an R/Bioconductor package for quality assessment of target enrichment experiments. Quality measures comprise specificity and sensitivity of the capture, enrichment, per-target read coverage and its relation to hybridization probe characteristics, coverage uniformity and reproducibility, and read duplicate analysis. Several diagnostic plots allow visual inspection of the data quality. AVAILABILITY AND IMPLEMENTATION: TEQC is implemented in the R language (version >2.12.0) and is available as a Bioconductor package for Linux, Windows and MacOS from www.bioconductor.org.
Manuela Hummel, Sarah Bonnin, Ernesto Lowy-Gallego, Guglielmo Roma
Bioinform.1
2008 GlobalANCOVA: exploration and assessment of gene group effects
abstract
MOTIVATION: Several authors have studied expression in gene sets with specific goals: overrepresentation of interesting genes in functional groups, predictive power for class membership and searches for groups where the constituent genes show coordinated changes in expression under the experimental conditions. The purpose of this article is to follow the third direction. One important aspect is that the gene sets under analysis are known a priori and are not determined from the experimental data at hand. Our goal is to provide a methodology that helps to identify the relevant structural constituents (phenotypical, experimental design, biological component) that determine gene expression in a group. RESULTS: Gene-wise linear models are used to formalize the structural aspects of a study. The full model is contrasted with a reduced model that lacks the relevant design component. A comparison with respect to goodness of fit is made and quantified. An asymptotic test and a permutation test are derived to test the null hypothesis that the reduced model sufficiently explains the observed expression within the gene group of interest. Graphical tools are available to illustrate and interpret the results of the analysis. Examples demonstrate the wide range of application. AVAILABILITY: The R-package GlobalAncova (http://www.bioconductor.org) offers data and functions as well as a vignette to guide the user through specific analysis steps.
Manuela Hummel, Reinhard Meister, Ulrich Mansmann
Bioinform.1