Dna analysis techniques

The research project deals with two different types of data for two separate analysis. The first analysis deals with normalised RNA-seq breast cancer data where machine learning techniques are used to classify and identify the biomarker of cancer. Second analysis deals with raw DNA methylated leukemia samples to determine the mutations.

102p runthenight04 02-02-2023 7 4   Download

Populations in Southeast AsiaandSouthChinahave highfrequencies ofa-thalassemia caused by a-globin gene mutations and/or deletions. This study was designed to find an efficient and simple diagnostic test for the mutations and deletions. A duplex polymerase chain reaction (PCR)/denaturing high-pressure liquid chromatography (DHPLC) was used to detect the mutations and deletions. A blinded study of 110 samples, which included 92 a-thalassemia samples with various genotypes and 18 normal DNA samples, was carried out by the methods.

8p zingzing09 24-04-2013 70 2   Download

A catalytic turnover of supercoiled DNA (scDNA) transformation medi-ated by topoisomerases leads to changes in the linking number (Lk) of the polymeric substrate by 1 or 2 per cycle. As a substrate of the topoisomeri-zation reaction it is chemically identical to its product; even a single catalytic event results in the quantum leap in the scDNA topology.

8p dell39 27-03-2013 33 4   Download