In this article we show that by reducing the expressivity of the method we can gain performance while still being able to use all biologically relevant data.
However, using this method, we have gained novel insight into mtDNA within individuals and within pedigrees.
With an established characterization method, we wanted to gain more insight into the formation of branched polyUb chains.
In the latter method, we inferred TFBS gains and losses between two S. cerevisiae strains, using the S. paradoxus sequence as the outgroup (reference), and gains and losses between S. cerevisiae and S. paradoxus, using the S. mikatae sequence.
We develop the two stage SVQ (TsSVQ) method, by which we gain both the memory and computational advantages and still retain good R/D performance.
By using a mixed-method approach, we gained an in-depth understanding of both personal and contextual factors contributing to attrition behavior in DSME programs.
However, until the recent development of advanced imaging methods, we have gained little direct knowledge on network connectivity within the human brain.
Capitalizing on evolutionary lability of carotenoid compounds and enzymatic reactions across phylogeny of our study species (Additional file 4: Figure S1 and Additional file 6: Figure S4, Methods) we categorized gains and losses of compounds (Additional file 7: Table S2) in relation to their topological position within the biochemical network of carotenoids (Additional file 5: Figure S3).
Using this method, we report here mostly chromosomal gains and only few chromosomal losses in MSI CRCs, and conclude that such tumors are indeed CIN+ in most of cases (65%).
The Tm1631 protein with yet unknown function from the organism T. maritima has a similar Bynding sitexploring of DNA repair prothens, as established earlier [2].
