  We studied the structuredness ensemble of transcriptome of Siberian larch.
The clusters in 64-dimensional space were identified with $K$-means technique,
where the objects to be clusterized are the different fragments of the genome.
A tetrahedron like structure in distribution of these fragments was found.
Chargaff's discrepancy measure was determined for each class, as well as that
latter between the classes. It reveals a relative similitude of the classes.
The results have been compared to those obtained for specific transcriptome of
each tissue. Also, a surrogate transcriptome has been developed comprising the
contigs assembled for specific tissues; that latter has been compared with the
real total transcriptome, and significant difference has been observed.
