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Christoph Ziegenhain

Showing results (1-10 of 47) with videos related to

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Nature Communications|October 29, 2021
BAMboozle removes genetic variation from human sequence data for open data sharingChristoph Ziegenhain, Rickard Sandberg
Nature Biotechnology|May 31, 2022
Scalable single-cell RNA sequencing from full transcripts with Smart-seq3xpressMichael Hagemann-Jensen, Christoph Ziegenhain, Rickard Sandberg
Scientific Reports|May 10, 2016
The impact of amplification on differential expression analyses by RNA-seqSwati Parekh, Christoph Ziegenhain, Beate Vieth, et al.
Biorxiv : the Preprint Server for Biology|August 14, 2023
Compound models and Pearson residuals for single-cell RNA-seq data without UMIsJan Lause, Christoph Ziegenhain, Leonard Hartmanis, 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.
The ISME Journal|August 2, 2018
Low spatial structure and selection against secreted virulence factors attenuates pathogenicity in Pseudomonas aeruginosaElisa T Granato, Christoph Ziegenhain, Rasmus L Marvig, 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 Methods|April 26, 2022
Molecular spikes: a gold standard for single-cell RNA countingChristoph Ziegenhain, Gert-Jan Hendriks, Michael Hagemann-Jensen, 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 47) with videos related to

Sort By:
Pageof 5
Nature Communications|October 29, 2021
BAMboozle removes genetic variation from human sequence data for open data sharingChristoph Ziegenhain, Rickard Sandberg
Nature Biotechnology|May 31, 2022
Scalable single-cell RNA sequencing from full transcripts with Smart-seq3xpressMichael Hagemann-Jensen, Christoph Ziegenhain, Rickard Sandberg
Scientific Reports|May 10, 2016
The impact of amplification on differential expression analyses by RNA-seqSwati Parekh, Christoph Ziegenhain, Beate Vieth, et al.
Biorxiv : the Preprint Server for Biology|August 14, 2023
Compound models and Pearson residuals for single-cell RNA-seq data without UMIsJan Lause, Christoph Ziegenhain, Leonard Hartmanis, 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.
The ISME Journal|August 2, 2018
Low spatial structure and selection against secreted virulence factors attenuates pathogenicity in Pseudomonas aeruginosaElisa T Granato, Christoph Ziegenhain, Rasmus L Marvig, 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 Methods|April 26, 2022
Molecular spikes: a gold standard for single-cell RNA countingChristoph Ziegenhain, Gert-Jan Hendriks, Michael Hagemann-Jensen, 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