Computational approaches to study the effects of small genomic variations.

Advances in DNA sequencing technologies have led to an avalanche-like increase in the number of gene sequences deposited in public databases over the last decade as well as the detection of an enormous number of previously unseen nucleotide variants therein. Given the size and complex nature of the genome-wide sequence variation data, as well as the rate of data generation, experimental characterization of the disease association of each of these variations or their effects on protein structure/function would be costly, laborious, time-consuming, and essentially impossible. Thus, in silico methods to predict the functional effects of sequence variations are constantly being developed.

Limitations on the recombinant plasmid selection by Lac(+)/Lac(-) colony phenotype detection.

Lac(+)/Lac(-) selection of recombinant plasmids based on the insertional inactivation of LacZalpha gene cannot differentiate recombinant clones in some cases. Several fragments of exon 11 of human brca1 gene were cloned in LacZalpha-containing plasmids so that frameshift appeared at the 5(')-end of the fragments tested but these fragments were in frame with the part of LacZalpha situated downstream of the polylinker. All plasmids except one caused blue colonies formation after being transformed in Escherichia coli LacZDeltaM15 cells in spite of the frameshift.