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Additional file 18: Table S4. of Integrative analysis of the Trypanosoma brucei gene expression cascade predicts differential regulation of mRNA processing and unusual control of ribosomal protein expression

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posted on 2016-04-26, 05:00 authored by Enoch Antwi, Jurgen Haanstra, Gowthaman Ramasamy, Bryan Jensen, Dorothea Droll, Federico Rojas, Igor Minia, Monica Terrao, Clémentine Mercé, Keith Matthews, Peter Myler, Marilyn Parsons, Christine Clayton
Ribosome profiling data. Jensen - data from [20]; Silicotryp - data from [16] and this paper. All numbers were suitably rounded after the calculations had been finished. Gene annotation is partly from tritrypDB and partly manual. Sheet 1: Raw read counts for all ORFs. RP = ribosome profiling, FR = fragmented poly(A) + RNA. BS = bloodstream, PC = procyclic. Sheet 2: Reads for the unique gene set of genes [9], used in subsequent calculations. Sheet 3: DeSeq comparison of Jensen and Silicotryp results (total ribosome profiling reads per ORF) for procyclic forms. Sheet 4: DeSeq comparison of Jensen and Silicotryp results (total ribosome profiling reads per ORF) for bloodstream forms. Sheet 5: DeSeq comparison of Jensen and Silicotryp results (total fragmented RNA reads per ORF) for procyclic forms. Sheet 6: DeSeq comparison of Jensen and Silicotryp results (total fragmented RNA reads per ORF) for bloodstream forms. Sheet 7: ORFs that showed significant differences in ribosome profiling reads between the Jensen and Silicotryp datasets. Red are higher in Silicotryp and blue are lower. Sheet 8: Reads per million calculated for the unique gene set. Sheet 9: Alignment statistics. rp = ribosome profiling; fr = fragmented poly(A) + RNA. PC- = procyclic, BS = cultured bloodstream forms. Sheet 10: Alternative normalisation using EdgeR. (XLSX 7622 kb)

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Deutsche Forschungsgemeinschaft

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