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This archive contains the Snakemake workflow as it was used in the Genome Biology publication. The workflow is provided in a self-contained environment that only requires Conda and Snakemake to be executed. It connects the PAQR and KAPAC modules and includes as example input the mapped RNA-seq samples from the study of HNRNPC knock-down in HEK293 cells (originally published on the GEO database with the accession number GSE56010), available also from here: http://www.clipz.unibas.ch/RNAseq_HNRNPC_KD_study. PAQR is a method for polyadenylation site usage quantification from RNA sequencing data. KAPAC infers position-dependent activities of sequence motifs on 3’ end processing from changes in poly(A) site usage between conditions.
regulators of polyadenylation, quantification of poly(A) site usage, HNRNPC, RNA-seq, Cleavage and polyadenylation, APA, Snakemake
regulators of polyadenylation, quantification of poly(A) site usage, HNRNPC, RNA-seq, Cleavage and polyadenylation, APA, Snakemake
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 24 | |
| downloads | 7 |

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