Ribosome Footprint Data Visualization and Analysis

Ribosome footprint densities for individual transcripts in Figure 2 were visualized with Trips-Viz browser (Kiniry et al. 2019 (link)) using aggregated data listed in Supplemental Table S6. All other plots were generated using Python Matplotlib library (Hunter 2007 (link)) and R ggplot2 package (Wickham 2009 ). Statistical analyses were performed with the Statistical Functions module from SciPy library and with R (R Core Team 2013 ). Analysis of microscopy and immunostaining data was performed using FluoView 4.2 software (Olympus) and Microsoft Excel.

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Benitez-Cantos M.S., Yordanova M.M., O'Connor P.B., Zhdanov A.V., Kovalchuk S.I., Papkovsky D.B., Andreev D.E, & Baranov P.V. (2020). Translation initiation downstream from annotated start codons in human mRNAs coevolves with the Kozak context. Genome Research, 30(7), 974-984.

Publication 2020

FluoView 4.2

Library Microscopy Python Ribosome

Corresponding Organization :

Other organizations : Universidad de Granada, University College Cork, Institute of Bioorganic Chemistry, Lomonosov Moscow State University

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Variable analysis

independent variables

Ribosome footprint densities for individual transcripts

dependent variables

Ribosome footprint densities for individual transcripts

control variables

Aggregated data listed in Supplemental Table S6

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