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Ines Hellmann

Showing results (1-10 of 44) with videos related to

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Genome Biology and Evolution|May 17, 2011
Mutation rate distribution inferred from coincident SNPs and coincident substitutionsPhilip L F Johnson, Ines Hellmann
Molecular Ecology|August 21, 2015
Detecting recent selective sweeps while controlling for mutation rate and background selectionChristian D Huber, Michael DeGiorgio, Ines Hellmann, et al.
Molecular Biology and Evolution|August 28, 2014
Keeping it local: evidence for positive selection in Swedish Arabidopsis thalianaChristian D Huber, Magnus Nordborg, Joachim Hermisson, et al.
Bioinformatics (Oxford, England)|August 20, 2009
The effects of probe binding affinity differences on gene expression measurements and how to deal with themMichael Dannemann, Anna Lorenc, Ines Hellmann, et al.
Gigascience|May 31, 2018
zUMIs - A fast and flexible pipeline to process RNA sequencing data with UMIsSwati Parekh, Christoph Ziegenhain, Beate Vieth, et al.
Briefings in Functional Genomics|March 27, 2018
Quantitative single-cell transcriptomicsChristoph Ziegenhain, Beate Vieth, Swati Parekh, et al.
Genome Research|January 14, 2010
Population genetic inference from genomic sequence variationJohn E Pool, Ines Hellmann, Jeffrey D Jensen, et al.
Scientific Reports|May 10, 2016
The impact of amplification on differential expression analyses by RNA-seqSwati Parekh, Christoph Ziegenhain, Beate Vieth, et al.
Bioinformatics (Oxford, England)|October 17, 2017
powsimR: power analysis for bulk and single cell RNA-seq experimentsBeate Vieth, Christoph Ziegenhain, Swati Parekh, et al.
Nature Communications|October 13, 2019
A systematic evaluation of single cell RNA-seq analysis pipelinesBeate Vieth, Swati Parekh, Christoph Ziegenhain, et al.
Pageof 5

Showing results (1-10 of 44) with videos related to

Sort By:
Pageof 5
Genome Biology and Evolution|May 17, 2011
Mutation rate distribution inferred from coincident SNPs and coincident substitutionsPhilip L F Johnson, Ines Hellmann
Molecular Ecology|August 21, 2015
Detecting recent selective sweeps while controlling for mutation rate and background selectionChristian D Huber, Michael DeGiorgio, Ines Hellmann, et al.
Molecular Biology and Evolution|August 28, 2014
Keeping it local: evidence for positive selection in Swedish Arabidopsis thalianaChristian D Huber, Magnus Nordborg, Joachim Hermisson, et al.
Bioinformatics (Oxford, England)|August 20, 2009
The effects of probe binding affinity differences on gene expression measurements and how to deal with themMichael Dannemann, Anna Lorenc, Ines Hellmann, et al.
Gigascience|May 31, 2018
zUMIs - A fast and flexible pipeline to process RNA sequencing data with UMIsSwati Parekh, Christoph Ziegenhain, Beate Vieth, et al.
Briefings in Functional Genomics|March 27, 2018
Quantitative single-cell transcriptomicsChristoph Ziegenhain, Beate Vieth, Swati Parekh, et al.
Genome Research|January 14, 2010
Population genetic inference from genomic sequence variationJohn E Pool, Ines Hellmann, Jeffrey D Jensen, et al.
Scientific Reports|May 10, 2016
The impact of amplification on differential expression analyses by RNA-seqSwati Parekh, Christoph Ziegenhain, Beate Vieth, et al.
Bioinformatics (Oxford, England)|October 17, 2017
powsimR: power analysis for bulk and single cell RNA-seq experimentsBeate Vieth, Christoph Ziegenhain, Swati Parekh, et al.
Nature Communications|October 13, 2019
A systematic evaluation of single cell RNA-seq analysis pipelinesBeate Vieth, Swati Parekh, Christoph Ziegenhain, et al.
Pageof 5