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Distributions based on length proved to be most suitable to represent the initially broad length distribution of the particles before processing.
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This choice of training dataset is reasonable because the Fantom3 dataset is highly heterogenous (broad length distribution, multiple experimental data sources (Carninci et al. 2005)) and the computational datasets represent whole genome scans.
The length distribution of pZBDs with a ZB-motif showed a broad distribution around 45 with a sharp peak at 25 (corresponding to E. coli Glu-Q-RS); pZBDs without a ZB-motif also show a broad distribution.
(a) Length distribution of predicted T. parvula ORFs.
(c) Read length distribution of PacBio sequencing after filtering.
(a) Length distribution of de novo assembled contigs.
d, Length distribution of genome-aligning spacers, prepared analogous to Fig. 2d.
Length distribution of SMRT subreads and FALCON parameter optimization for assembly.
We probe this assumption by analysing the length distribution of the system throughout the scission process.
Length distribution of unigenes.
B) Length distribution of Indels.
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