GO enrichment for genes within the different categories of CNVs was calculated using MADIBA [ 102], a web source for biological analysis of Plasmodium genes.
Therefore, a transcriptomic approach could provide a much broader analysis of different biological processes allowing for an integrated description of responses to xenobiotics [ 5, 6].
Very importantly, algorithms should be as comprehensive as possible to provide insights into the nature of regulatory elements in their real genomic context, which requires analysis of different biological sets [ 8].
Nested ANOVA was performed for all biological and porewater parameters and a cluster analysis of different biotic and abiotic parameters was performed.
The method is also successfully applicable to quantitative analysis of different objects such from biological liquids to natural waters.
Especially, a joint analysis of different microarray platforms that have been used on the same set of biological samples is hardly supported by most microarray analysis tools.
The principles and characteristics of sampling and analysis of different types of sample matrix are discussed, i.e., of air, water, biological, organic, and soil matrices.
Integrative analysis of different reported genomic datasets has revealed common subclasses between different studies, highlighting their biological relevance in HCC.
The results have wide applicability for the analysis of different sources of uncertainty like noise experienced in the data, neglected dynamics, or intrinsic biological variability.
From the analysis of different systems' profiles, four superfamilies were identified with common TSPs: two families of non-biological networks –semantic adjacency words maps and social systems– and two families of biological, information processing networks.
