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Cancer is a disease determined by several genetic and epigenetic alterations. Due to technological advances in the omics disciplines, cancer research is going through a revolution. The technological advances that lead to the post-genome era have allowed molecular biologists to make meticulous studies on the DNA (genome), the mRNA (transcriptome) and the protein sequences (proteome). Initiatives that...
Tumours can be considered a set of cells that accumulate genetic and epigenetic alterations. According to the Multi-stage Hit theory, the transformation of a normal into a tumour cell involves a number of limiting events that occur in a number of discrete stages (driver mutations). However, not all mutations that occur in the cell are directly involved in the development of cancer and some probably...
Alternative splicing events (AS) is one of the most significant components behind the complexity of multi-cellular organisms. Most, if not all, multi-exonic human genes undergo AS. Many AS events are involved in the etiology of cancer, among many other common human disorders. The emergence of next-generation sequencing offers a unique opportunity to explore the variability generated by AS at an exhaustive...
Gene regulatory networks (GRN) inference is an important bioinformatics problem in which the gene interactions need to be deduced from gene expression data, such as microarray data. Feature selection methods can be applied to this problem. A feature selection technique is composed by two parts: a search algorithm and a criterion function. Among the search algorithms already proposed, there is the...
Technological advances have enabled a better characterization of all the genetic alterations in tumors. A picture that emerges is that tumor cells are much more genetically heterogeneous than originally expected. Thus, a critical issue in cancer genomics is the identification of the genetic alterations that drive the genesis of a tumor. Recently, a systems biology approach has been used to characterize...
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