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Analysing high-throughput sequencing data in Python with HTSeq 2.0., , , , and . Bioinform., 38 (10): 2943-2945 (2022)Orchestrating high-throughput genomic analysis with Bioconductor, , , , , , , , , and 16 other author(s). Nature Methods, (January 2015)FourCSeq: analysis of 4C sequencing data., , , , , and . Bioinform., 31 (19): 3085-3091 (2015)ShortRead: a bioconductor package for input, quality assessment and exploration of high-throughput sequence data., , , , , and . Bioinform., 25 (19): 2607-2608 (2009)Visualization of genomic data with the Hilbert curve.. Bioinform., 25 (10): 1231-1235 (2009)Count-based differential expression analysis of RNA sequencing data using R and Bioconductor, , , , , , and . Nature Protocols, (August 2013)Focused multidimensional scaling: interactive visualization for exploration of high-dimensional data., and . BMC Bioinform., 20 (1): 221:1-221:8 (2019)Accounting for technical noise in single-cell RNA-seq experiments, , , , , , , , , and 1 other author(s). Nature Methods, 10 (11): 1093--1095 (September 2013)