ChIP-seq experiments are widely used to detect and study DNA-protein interactions, such as transcription factor binding and chromatin modifications. However, downstream analysis of ChIP-seq data is currently restricted to the evaluation of signal intensi
Implementation of the aforementioned regressions, together with numerical evaluations are explained in Section 4, indicating a promising prediction of the breast shape. Then, the complementary discussions will be expressed in Section 5. Finally, the explanations of the proposed methodology and generated ...
Hierarchical AMOVA revealed that most of the genetic variation in the population structure can be explained by within-population differences (98.9%), while only 0.7% of MHC variability is due to differences among populations within three clusters. However, this estimate was not statistically significant...