The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Nucleotide imbalance, nucleotide pair imbalance and 2D & 3D nucleotide paths of nucleotide genomic signals (NuGSs) for several shared genes (coding) and control (non-coding) segments in the mitochondrial DNA of the hominidae family are presented in the paper. The common trend (reference) - offset representation for sets of related NuGSs is used to achieve a high resolution comparative analysis.
The nucleotide imbalance and the nucleotide pair imbalance signals of hominidae mitochondrial nucleotide genomic signals (mtNuGSs) have specific features for the areas encoding the 13 mt proteins, the 22 mt transfer RNAs (mt tRNA), the two mt ribosomal RNAs (mt rRNA), or for the segment(s) corresponding to the D-loop. The nucleotide genomic signal analysis of mt DNA allows identifying such features,...
The nucleotide imbalance, the nucleotide pair imbalance and the nucleotide path of mitochondrial Nucleotide Genomic Signals (mtNuGSs) of the hominidae family have been analyzed. A reference-offset representation of sets of related signals is used.
The nucleotide genomic signal (NuGS) methodology is based on the conversion of symbolic nucleotide sequences into genomic signals, allowing the use of signal processing methods to investigate genetic information. The approach is adequate for both the large scale analysis of genomes and for the monitoring of local variations in genomic sequences, such as those caused by pathogen variability or by genomic...
Nucleotide genomic signal (NGS) analysis reveals surprising regularities in the distribution of nucleotides and pairs of nucleotides, in both prokaryotes and eukaryotes. These features of genomic sequences would be difficult to identify by using only standard symbolic sequence analysis. NGS analysis is also efficient in the analysis of local structural features, in particular for the study of pathogen...
Pinhole cameras have been used for imaging in the high energy radiation domain, e.g., for X-rays or gamma-rays, when lenses or other focussing devices can no longer be used. The main problem with pinhole cameras is the contradiction between the resolution - which requires small pinholes, and the sensitivity - which asks for large apertures. The paper discusses the coded aperture approach which uses...
The conversion of symbolic nucleotide sequences into digital signals allows applying signal processing methods to the analysis of genomic data. The method reveals regularities in the distribution of nucleotides and pairs of nucleotides along the genomic sequences, that would be difficult to detect in symbolic form. The structural restrictions of genomic sequences are reflected in mathematical regularities...
The paper applies the GSA methodology to the study of mycobacterium tuberculosis (MT) rpoB gene variability. The rpoB gene encodes the beta subunit of RNA polymerase and can produce rifampin (RMP) resistance, A segment comprising the codons 509-595 of the gene has been analyzed. Mutations occurring at specific sites along the gene strand can be put in direct correspondence to RMP resistance.
The conversion of symbolic nucleotide sequences into digital signals allows applying signal processing methods to analyze genomic data. The method works well for the study of small genomic sequences, such as in the genomes of viruses and bacteria, and is adequate for monitoring their variability and tracking the development of drug resistance. The paper is based on data downloaded from NIH GenBank,...
The paper presents results on the study of HIV-1, Clade F, variability using IT techniques for the quantitative analysis of nucleotide sequences. Specifically, phase analysis and RNA secondary structure for the protease and reverse transcriptase genomic signals have been used to characterize the variability of HIV strains isolated in Romania. Variability signals with respect to average, median and...
The conversion of genomic sequences into digital genomic signals offers the possibility to use signal processing methods for the analysis of genomic information. The study of genomic signals reveals local and global features of chromosomes that would be difficult to identify by using only the symbolic representation used in genomic data bases. The paper presents a study of the HIV protease (PR) and...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.