Search results for "IDENTIFICATION"
showing 10 items of 1600 documents
Genome-Wide Estimation of the Spontaneous Mutation Rate of Human Adenovirus 5 by High-Fidelity Deep Sequencing
2016
Rates of spontaneous mutation determine the ability of viruses to evolve, infect new hosts, evade immunity and undergo drug resistance. Contrarily to RNA viruses, few mutation rate estimates have been obtained for DNA viruses, because their high replication fidelity implies that new mutations typically fall below the detection limits of Sanger and standard next-generation sequencing. Here, we have used a recently developed high-fidelity deep sequencing technique (Duplex Sequencing) to score spontaneous mutations in human adenovirus 5 under conditions of minimal selection. Based on >200 single-base spontaneous mutations detected throughout the entire viral genome, we infer an average mutatio…
Identification of Candida auris and related species by multiplex PCR based on unique GPI protein‐encoding genes
2020
Background The pathogen Candida auris is rapidly gaining clinical importance because of its resistance to antifungal treatments and its persistence in hospital environments. Early and accurate diagnosis of C. auris infections is crucial, however, the fungus has often been misidentified by commercial systems. Objectives To develop conventional and real-time PCR methods for accurate and rapid identification of C. auris and its discrimination from closely related species by exploiting the uniqueness of certain glycosylphosphatidylinositol-modified protein-encoding genes. Methods Species-specific primers for two unique putative GPI protein-encoding genes per species were designed for C. auris, …
EvalMSA: A Program to Evaluate Multiple Sequence Alignments and Detect Outliers
2016
8 páginas, 3 figuras, 2 tablas.
Organic matrices in metazoan calcium carbonate skeletons: composition, functions, evolution.
2016
9 pages; International audience; Calcium carbonate skeletal tissues in metazoans comprise a small quantity of occluded organic macromolecules, mostly proteins and polysaccharides that constitute the skeletal matrix. Because its functions in modulating the biomineralization process are well known, the skeletal matrix has been extensively studied, successively via classical biochemical approaches, via molecular biology and, in recent years, via transcriptomics and proteomics. The optimistic view that the deposition of calcium carbonate minerals requires a limited number of macromolecules has been challenged, in the last decade, by high-throughput approaches. Such approaches have made possible…
Personalized Medicine: Recent Progress in Cancer Therapy
2020
Translational research has revolutionized how we develop new treatments for cancer patients. The change from an organ-centric concept guiding treatment choice towards deep molecular analysis, driving a personalized approach, is one of the most important advances of modern oncology. Several tools such as next generation sequencing and RNA sequencing have greatly improved the capacity to detect predictive and prognostic molecular alterations. Detection of gene mutations, amplifications, and fusions has therefore altered the history of several diseases in both a localized and metastatic setting. This shift in perspective, in which attention is focused on the specific molecular alterations of t…
Identification of Protein Complexes Associated with the Usher Syndrome 2C and Epilepsy-Associated Protein VLGR1 Applying Affinity Proteomics
2017
Authors aimed to identify novel VLGR1-associated protein networks to shed light on its integration into signaling pathways and the cellular compartments in which VLGR1 functions using high-resolution affinity proteomics based on tandem affinity purifications (TAPs).
Proteomics and Metabolomics Studies and Clinical Outcomes
2018
Abstract The application of proteomics and metabolomics to the field of human reproduction arose as a result of the need to identify new diagnostic and therapeutic tools that improve fertilization, implantation, and live birth rates in assisted reproduction cycles. A better understanding of the molecular mechanisms underlying the physiology of germ cells, embryos, and the endometrium has been made possible through the identification of their proteomic and metabolomic profiles. This has led to the discovery of specific biomarkers for the diagnosis, treatment, and counseling of several infertility-related conditions and for a more objective selection of the best gametes and embryos and the mo…
Application of Graph Clustering and Visualisation Methods to Analysis of Biomolecular Data
2018
In this paper we present an approach based on integrated use of graph clustering and visualisation methods for semi-supervised discovery of biologically significant features in biomolecular data sets. We describe several clustering algorithms that have been custom designed for analysis of biomolecular data and feature an iterated two step approach involving initial computation of thresholds and other parameters used in clustering algorithms, which is followed by identification of connected graph components, and, if needed, by adjustment of clustering parameters for processing of individual subgraphs.
miRToolsGallery: a tag-based and rankable microRNA bioinformatics resources database portal
2017
Abstract Hundreds of bioinformatics tools have been developed for MicroRNA (miRNA) investigations including those used for identification, target prediction, structure and expression profile analysis. However, finding the correct tool for a specific application requires the tedious and laborious process of locating, downloading, testing and validating the appropriate tool from a group of nearly a thousand. In order to facilitate this process, we developed a novel database portal named miRToolsGallery. We constructed the portal by manually curating > 950 miRNA analysis tools and resources. In the portal, a query to locate the appropriate tool is expedited by being searchable, filterable and …
Deep learning network for exploiting positional information in nucleosome related sequences
2017
A nucleosome is a DNA-histone complex, wrapping about 150 pairs of double-stranded DNA. The role of nucleosomes is to pack the DNA into the nucleus of the Eukaryote cells to form the Chromatin. Nucleosome positioning genome wide play an important role in the regulation of cell type-specific gene activities. Several biological studies have shown sequence specificity of nucleosome presence, clearly underlined by the organization of precise nucleotides substrings. Taking into consideration such advances, the identification of nucleosomes on a genomic scale has been successfully performed by DNA sequence features representation and classical supervised classification methods such as Support Vec…