Search results for " bioinformatics"

INVESTIGATION ON THE GENETIC BASIS OF ENVIRONMENTAL STRESS IN FRUIT TREE CROPS

2021

Plant stress can be divided into two major categories: abiotic stress and biotic stress. Abiotic stress happens when plants are exposed to the environment either physically or chemically. There is an emergency in developing crop varieties that are tolerant to abiotic stresses to ensure food security and safety in the coming years. Multiple abiotic stress like drought, heat, frost at flowering and nutrient deficiency can cause an erratic fruiting behavior or following extreme events, the death of the plants. Plants require an optimal level of nutrients and essential minerals for their growth and development that are mainly acquired from soil by their roots. Nutrient deficiency is an environm…

New insights of epithelial-to-mesenchymal transition (EMT) signature in breast cancer

2023

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…

Modelling and Simulation in Science, Proceedings of the 6th International Workshop on Data Analysis in Astronomy >

2007

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…

"A KNOWLEDGE-BASED EXPERT SYSTEM IN BIOINFORMATICS: AN APPLICATION TO REVERSE ENGINEERING GENE REGULATORY NETWORK"

2011

The huge amount of biological data has spread the development of plenty of bionformatics tools, databases and web services. In order to face a computational biology problem, there not exist only a way, but different methodologies and strategies, with their own pros and cons, can be applied. In this PhD thesis I present a knowledge-based expert system that aims at helping a bionformatics researcher in the choice of the proper strategy and heuristic in order to resolve a bioinformatics issue. The Knowledge Base of the system is structured by means of an ontology and codes the expertise about the application domain. KB is organized into decision-making modules that introduce a set of metareaso…

Normalised compression distance and evolutionary distance of genomic sequences: comparison of clustering results

2009

Genomic sequences are usually compared using evolutionary distance, a procedure that implies the alignment of the sequences. Alignment of long sequences is a time consuming procedure and the obtained dissimilarity results is not a metric. Recently, the normalised compression distance was introduced as a method to calculate the distance between two generic digital objects and it seems a suitable way to compare genomic strings. In this paper, the clustering and the non-linear mapping obtained using the evolutionary distance and the compression distance are compared, in order to understand if the two distances sets are similar.

ValWorkBench: an open source Java library for cluster validation, with applications to microarray data analysis.

2015

Background: Cluster analysis is one of the most well known activities in scientific investigation and the object of research in many disciplines, ranging from statistics to computer science. It is central to the life sciences due to the advent of high throughput technologies, e.g., classification of tumors. In particular, in cluster analysis, it is of relevance to assess cluster quality and to predict the number of clusters in a dataset, if any. This latter task is usually performed via internal validation measures. Despite their potentially important role, both the use of classic internal validation measures and the design of new ones, specific for microarray data, do not seem to have grea…