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Ovarian cancer is the leading cause of death in gynecological cancers. Carboplatinum-based therapy is the standard treatment choice for ovarian cancer. However, a majority of the patients develop resistance to carboplatinum fairly rapidly hence there is a clinical need for early predictors of carboplatinum resistance. While there are a few indicative gene markers, they have poor sensitivity and specificity...
DNA spectrograms express the periodicities of each of the four nucleotides A, T, C, and G in one or several genomic sequences to be analyzed. DNA spectral analysis can be applied to systematically investigate DNA patterns, which may correspond to relevant biological features. As opposed to looking at nucleotide sequences, spectrogram analysis may detect structural characteristics in very long sequences...
Type 2 diabetes mellitus (T2D) is characterised by impaired glucose homeostasis and insulin resistance. Alteration in various biological cascades is observed during diabetes and its associated complications. Differentially expressed genes obtained from microarray data are used to construct co-expression networks integrated with interaction data. Our study uses this integrated functional networks concept...
Post-translational modifications pegged on to the N-terminal tails of the nucleosomes core histone proteins determine the transcriptional activity of that chromosomal region leading to the histone code hypothesis. We rely on recently produced experimental data on genome-wide maps of chromatin state to derive computational models delineating the hidden patterns of post-translational modifications....
DNA spectral analysis can be applied to systematically investigate DNA patterns, which may correspond to relevant biological features. As opposed to looking at nucleotide sequences, spectrogram analysis may detect structural characteristics in very long sequences that are not identifiable by sequence alignment. Clustering of DNA spectrograms can be used to perform spectral analysis of very large sequences...
DNA sequencing today produces vast amounts of image data in the final recording process. For example, Solexapsilas sequencing by synthesis platform allows the outcome of sequencing reactions to be observed simultaneously at a resolution of millions of individual DNA molecules. Recording the outcome after each reaction therefore, generates terabytes of image data in the course experimentation. For...
As applied to genomic sequence, spectral analysis is the application of Fourier transforms to binary indicator sequences derived from DNA sequence. After conversion to a color representation, the composition and harmonic properties of a sequence can be visualized. In previous work, these spectra have been used to identify sequence periodicities ranging from small to very large, both known and novel...
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