tinyRNA provides an all-in-one solution for precision analysis of sRNA-seq data. At the core of tinyRNA is a highly flexible counting utility, tiny-count, that allows for hierarchical assignment of reads to features based on positional information, extent of feature overlap, 5’ nucleotide, length, and strandedness.
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tiny-plot: make class group colors consistent across samples in scatter_dge_class #219
Currently, classes are sorted by the number of associated features before plotting for sample_avg_scatter_dge_class plots. This ensures that samples with fewer associated features are plotted on top of more abundant classes. However, this sorting happens on a per-sample basis, and class colors are currently determined by this sorted order. This can lead to variation in the colors assigned to classes in each sample.
This plot type will be updated so that class colors are consistent across samples.
Currently, classes are sorted by the number of associated features before plotting for sample_avg_scatter_dge_class plots. This ensures that samples with fewer associated features are plotted on top of more abundant classes. However, this sorting happens on a per-sample basis, and class colors are currently determined by this sorted order. This can lead to variation in the colors assigned to classes in each sample.
This plot type will be updated so that class colors are consistent across samples.