Swati Parekh
Swati Parekh
Postdoc, MPI Age, Cologne
Email confirmado em age.mpg.de
Título
Citado por
Citado por
Ano
Comparative analysis of single-cell RNA sequencing methods
C Ziegenhain, B Vieth, S Parekh, B Reinius, A Guillaumet-Adkins, ...
Molecular cell 65 (4), 631-643. e4, 2017
8092017
Evolutionary routes and KRAS dosage define pancreatic cancer phenotypes
S Mueller, T Engleitner, R Maresch, M Zukowska, S Lange, ...
Nature 554 (7690), 62-68, 2018
1982018
Characterization of rare, dormant, and therapy-resistant cells in acute lymphoblastic leukemia
S Ebinger, EZ Özdemir, C Ziegenhain, S Tiedt, CC Alves, M Grunert, ...
Cancer cell 30 (6), 849-862, 2016
1592016
zUMIs-a fast and flexible pipeline to process RNA sequencing data with UMIs
S Parekh, C Ziegenhain, B Vieth, W Enard, I Hellmann
Gigascience, 2018
1462018
The impact of amplification on differential expression analyses by RNA-seq
S Parekh, C Ziegenhain, B Vieth, W Enard, I Hellmann
Scientific reports 6 (1), 1-11, 2016
1462016
A systematic evaluation of single cell RNA-seq analysis pipelines
B Vieth, S Parekh, C Ziegenhain, W Enard, I Hellmann
Nature communications 10 (1), 1-11, 2019
1132019
Benchmarking single-cell RNA-sequencing protocols for cell atlas projects
E Mereu, A Lafzi, C Moutinho, C Ziegenhain, DJ McCarthy, ...
Nature Biotechnology 38 (6), 747-755, 2020
1112020
Sensitive and powerful single-cell RNA sequencing using mcSCRB-seq
JW Bagnoli, C Ziegenhain, A Janjic, LE Wange, B Vieth, S Parekh, ...
Nature communications 9 (1), 1-8, 2018
882018
powsimR: power analysis for bulk and single cell RNA-seq experiments
B Vieth, C Ziegenhain, S Parekh, W Enard, I Hellmann
Bioinformatics 33 (21), 3486-3488, 2017
822017
Quantitative single-cell transcriptomics
C Ziegenhain, B Vieth, S Parekh, I Hellmann, W Enard
Briefings in functional genomics 17 (4), 220-232, 2018
422018
Ageing and sources of transcriptional heterogeneity
C Nikopoulou, S Parekh, P Tessarz
Biological chemistry 400 (7), 867-878, 2019
102019
mcSCRB-seq: sensitive and powerful single-cell RNA sequencing
JW Bagnoli, C Ziegenhain, A Janjic, LE Wange, B Vieth, S Parekh, ...
BioRxiv, 188367, 2017
92017
A Systematic Evaluation of Single Cell RNA-Seq Analysis Pipelines: Library preparation and normalisation methods have the biggest impact on the performance of scRNA-seq studies
B Vieth, S Parekh, C Ziegenhain, W Enard, I Hellmann
bioRxiv, 583013, 2019
52019
Deregulated mito-nuclear communication alters chromatin plasticity and differentiation potential of mesenchymal stem cells upon ageing
A Pouikli, S Parekh, M Maleszewska, M Baghdadi, I Tripodi, C Nikopoulou, ...
bioRxiv, 2020
32020
Strategies for quantitative RNA-seq analyses among closely related species
S Parekh, B Vieth, C Ziegenhain, W Enard, I Hellmann
bioRxiv, 297408, 2018
22018
Chromatin remodeling due to degradation of citrate carrier impairs osteogenesis of aged mesenchymal stem cells
A Pouikli, S Parekh, M Maleszewska, C Nikopoulou, M Baghdadi, I Tripodi, ...
Nature Aging, 1-16, 2021
2021
The RNA-binding protein Puf5 contributes to buffering of mRNA upon chromatin-mediated changes in nascent transcription
DZ Kochan, JSP Mawer, J Massen, K Tishinov, S Parekh, M Graef, ...
Journal of cell science 134 (15), jcs259051, 2021
2021
The RNA-binding protein Puf5 buffers mRNA levels against chromatin-mediated changes in nascent transcription
DZ Kochan, JSP Mawer, K Tishinov, S Parekh, J Maassen, M Graef, ...
bioRxiv, 2020
2020
Evolutionary trajectories and KRAS gene dosage define pancreatic cancer phenotypes
S Mueller, T Engleitner, R Maresch, M Zukowska, S Lange, ...
Cancer Research 78 (13 Supplement), 391-391, 2018
2018
Optimising gene expression profiling using RNA-seq
S Parekh
lmu, 2018
2018
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Artigos 1–20