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Swati Parekh

Showing results (1-10 of 17) with videos related to

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Biological Chemistry|April 6, 2019
Ageing and sources of transcriptional heterogeneityChrysa Nikopoulou, Swati Parekh, Peter Tessarz
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.
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.
Life Science Alliance|August 1, 2022
RNA-sequencing of single cholangiocyte-derived organoids reveals high organoid-to organoid variabilityKristin Gehling, Swati Parekh, Farina Schneider, et al.
Journal of Cell Science|August 5, 2021
The RNA-binding protein Puf5 contributes to buffering of mRNA upon chromatin-mediated changes in nascent transcriptionDavid Z Kochan, Julia S P Mawer, Jennifer Massen, et al.
Nature Communications|July 28, 2018
Sensitive and powerful single-cell RNA sequencing using mcSCRB-seqJohannes W Bagnoli, Christoph Ziegenhain, Aleksandar Janjic, et al.
Molecular Cell|February 19, 2017
Comparative Analysis of Single-Cell RNA Sequencing MethodsChristoph Ziegenhain, Beate Vieth, Swati Parekh, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Biological Chemistry|April 6, 2019
Ageing and sources of transcriptional heterogeneityChrysa Nikopoulou, Swati Parekh, Peter Tessarz
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.
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.
Life Science Alliance|August 1, 2022
RNA-sequencing of single cholangiocyte-derived organoids reveals high organoid-to organoid variabilityKristin Gehling, Swati Parekh, Farina Schneider, et al.
Journal of Cell Science|August 5, 2021
The RNA-binding protein Puf5 contributes to buffering of mRNA upon chromatin-mediated changes in nascent transcriptionDavid Z Kochan, Julia S P Mawer, Jennifer Massen, et al.
Nature Communications|July 28, 2018
Sensitive and powerful single-cell RNA sequencing using mcSCRB-seqJohannes W Bagnoli, Christoph Ziegenhain, Aleksandar Janjic, et al.
Molecular Cell|February 19, 2017
Comparative Analysis of Single-Cell RNA Sequencing MethodsChristoph Ziegenhain, Beate Vieth, Swati Parekh, et al.
Pageof 2