Search results for "Bioinformatic"
showing 10 items of 1651 documents
Genome wide survey of the Toll-like receptor family in the Mediterranean sea urchin
Toll-like receptors (TLRs) represent a conserved family of proteins widely expressed in eukaryotes. They play crucial roles in the innate immune system recognizing different pathogen-associated molecular patterns. In mammals the TLR family comprises 10-13 members, while a huge number of TLR-like genes were recovered in S.purpuratus[1-3]. The Paracentrotus lividus genome project recently generated a new highquality assembly of the genome that represents a valuable resource also for clarifying the evolutionary origin of immune system. In order to identify TLR genes in P.lividus, a genome wide survey was carried out and BLAT searches retrieved 119 TLR genes (PlivTLRs). Ab initio gene predictio…
GENETIC NEUROCHAPERONOPATHIES ASSOCIATED WITH CCT5 AND HSP60 VARIANTS: ANALYSIS OF THEIR MOLECULAR ANATOMY AND POSSIBLE PATHOGENIC IMPLICATIONS
2022
Detecting significant features in modeling microRNA-target interactions
2017
MicroRNAs (miRNAs) are small non-coding RNA molecules mediating the translational repression and degradation of target mRNAs in the cell. Mature miRNAs are used as a template by the RNA-induced silencing complex (RISC) to recognize the complementary mRNAs to be regulated. Up to 60% of human genes are putative targets of one or more miRNAs. Several prediction tools are available to suggest putative miRNA targets, however, only a small part of the interaction pairs has been validated by experimental approaches. The analysis of the expression profile of the RNA fraction immunoprecipitated (IP) with the RISC proteins is an established method to detect which genes are actually regulated by the R…
Dal trascrittoma all’interattoma di miRNA: identificazione sperimentale e bioinformatica delle interazioni funzionali miRNA:mRNA
2013
I miRNA, piccole molecole endogene di RNA non codificante, regolano l’espressione genica attraverso la degradazione dei messaggeri (mRNA) o l’inibizione della traduzione. I miRNA maturi interagiscono con le proteine del complesso RISC (RNA-induced silencing complex) tra cui le proteine Argonaute (Ago), capaci di legare direttamente i miRNA e di mediare la regolazione dell’espressione genica in seguito alla interazione del miRNA con il proprio mRNA target. Un singolo miRNA può legare diversi mRNA e ciascun mRNA può essere regolato da diversi miRNA. La maggior parte dei software di predizione oggi disponibili individuano i putativi target di singoli miRNA ignorando caratteristiche di tipo glo…
Algoritmica Per Le Scienze Della Vita
2011
Capito dove si esemplifica come l' algoritmica contribuisce a carpire i segreti della Monna Lisa della scienza moderna.
Modelling and Simulation in Science, Proceedings of the 6th International Workshop on Data Analysis in Astronomy >
2007
Algorithms in Bioinformatics
2008
Preface
2011
A Fuzzy One Class Classifier for Multi Layer Model
2009
The paper describes an application of a fuzzy one-class classifier (FOC ) for the identification of different signal patterns embedded in a noise structured background. The classification phase is applied after a preprocessing phase based on a Multi Layer Model (MLM ) that provides a preliminary signal segmentation in an interval feature space. The FOC has been tested on synthetic and real microarray data in the specific problem of DNA nucleosome and linker regions identification. Results have shown, in both cases, a good recognition rate.
Algorithmic paradigms for stability-based cluster validity and model selection statistical methods, with applications to microarray data analysis
2012
AbstractThe advent of high throughput technologies, in particular microarrays, for biological research has revived interest in clustering, resulting in a plethora of new clustering algorithms. However, model selection, i.e., the identification of the correct number of clusters in a dataset, has received relatively little attention. Indeed, although central for statistics, its difficulty is also well known. Fortunately, a few novel techniques for model selection, representing a sharp departure from previous ones in statistics, have been proposed and gained prominence for microarray data analysis. Among those, the stability-based methods are the most robust and best performing in terms of pre…