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Titel:

Complex principal component and correlation structure of 16 yeast genomic variables

Autor(en):
Theis, F. J.; Latif, N.; Wong, P.; Frishman, D.
Abstract:
A quickly growing number of characteristics reflecting various aspects of gene function and evolution can be either measured experimentally or computed from DNA and protein sequences. The study of pairwise correlations between such quantitative genomic variables as well as collective analysis of their interrelations by multidimensional methods have delivered crucial insights into the processes of molecular evolution. Here, we present a principal component analysis (PCA) of 16 genomic variables f...     »
Stichworte:
molecular evolution genome analysis proteomics principal component analysis PROTEIN-PROTEIN INTERACTIONS SACCHAROMYCES-CEREVISIAE INTERACTION NETWORK EVOLUTIONARY RATE GENE DISPENSABILITY INTEGRATED VIEW HUB PROTEINS DATABASE EXPRESSION DISORDER
Zeitschriftentitel:
Mol. Biol. Evol.
Jahr:
2011
Band / Volume:
28
Heft / Issue:
9
Seitenangaben Beitrag:
2501-2512
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