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.
Repurposing Tagged Counting
The Tag column will be renamed to Classify as... and will be used to apply a user-defined class to features that match the rule. Each feature will be counted on a feature-class basis, just as they are now with feature-tag counting. tiny-count will no longer determine feature class from Class= attribute. The Tag and Feature Class columns of the output counts table will be one and the same. This removes a significant burden from the user for annotating their GFF files with a Class= attribute, which is a particularly arduous task for researchers that don't have a coding background. The values provided in the Classify as... column will serve as group names in class-related plots.
Repurposing Tagged Counting The
Tagcolumn will be renamed toClassify as...and will be used to apply a user-defined class to features that match the rule. Each feature will be counted on a feature-class basis, just as they are now with feature-tag counting. tiny-count will no longer determine feature class from Class= attribute. TheTagandFeature Classcolumns of the output counts table will be one and the same. This removes a significant burden from the user for annotating their GFF files with a Class= attribute, which is a particularly arduous task for researchers that don't have a coding background. The values provided in theClassify as...column will serve as group names in class-related plots.