9 resultados para FORESTs Genome Project database
em AMS Tesi di Dottorato - Alm@DL - Università di Bologna
Resumo:
Il tema della casa, e più in generale dell’abitare, è argomento tornato al centro del dibattito sociale più di quanto non sia avvenuto in campo tecnico‐architettonico. Sono infatti abbastanza evidenti i limiti delle proposte che nel recente passato sono state, di norma, elaborate nelle nostre città, proposte molto spesso incapaci di tener conto delle molteplici dimensioni che l’evoluzione dei costumi e della struttura urbana e sociale ha indotto anche nella sfera della residenza e che sono legate a mutate condizioni lavorative, alla diversità di cultura e di religione di nuovi gruppi etnici insediati, alla struttura dei nuclei familiari (ove ancora esistano) ed a molti altri fattori; cambiate le esigenze, un tempo composte nella struttura della famiglia, sono cambiati desideri e richieste mentre l’apparato normativo è rimasto strutturato su modelli sociali ed economici superati. Il tema dunque assume, oggi più che mai, connotazioni con forti relazioni fra problematiche funzionali, tecnologiche e simboliche. Stimolata da queste osservazioni generali, la ricerca si è mossa partendo da un’analisi di casi realizzati nel periodo storico in cui si è esaurita, in Italia, l’emergenza abitativa post‐bellica, nell’intento di riconsiderare l’approccio vitale che era stato messo in campo in quella drammatica circostanza, ma già consapevole che lo sviluppo che avrebbe poi avuto sarebbe stato molto più circoscritto. La tesi infatti, dopo aver osservato rapidamente la consistenza tipologica ed architettonica di quegli interventi, per trarne suggestioni capaci di suggerire un credibile e nuovo prototipo da indagare, attraverso un’analisi comparativa sugli strumenti oggi disponibili per la comunicazione e gestione del progetto, si è soffermata sulla potenzialità delle nuove tecnologie dell'informazione (IT). Non si può infatti non osservare che esse hanno modificato non solo il modo di vivere, di lavorare, di produrre documenti e di scambiare informazioni, ma anche quello di controllare il processo di progetto. Il fenomeno è tuttora in corso ma è del tutto evidente che anche l'attività progettuale, seppure in un settore quale è quello dell'industria edilizia, caratterizzato da una notevole inerzia al cambiamento e restio all'innovazione, grazie alle nuove tecnologie ha conosciuto profonde trasformazioni (già iniziate con l’avvento del CAD) che hanno accelerato il progressivo mutamento delle procedure di rappresentazione e documentazione digitale del progetto. Su questo tema quindi si è concentrata la ricerca e la sperimentazione, valutando che l'”archivio di progetto integrato”, (ovvero IPDB ‐ Integrated Project Database) è, probabilmente, destinato a sostituire il concetto di CAD (utilizzato fino ad ora per il settore edilizio ed inteso quale strumento di elaborazione digitale, principalmente grafica ma non solo). Si è esplorata quindi, in una prima esperienza di progetto, la potenzialità e le caratteristiche del BIM (Building Information Model) per verificare se esso si dimostra realmente capace di formulare un archivio informativo, di sostegno al progetto per tutto il ciclo di vita del fabbricato, ed in grado di definirne il modello tridimensionale virtuale a partire dai suoi componenti ed a collezionare informazioni delle geometrie, delle caratteristiche fisiche dei materiali, della stima dei costi di costruzione, delle valutazioni sulle performance di materiali e componenti, delle scadenze manutentive, delle informazioni relative a contratti e procedure di appalto. La ricerca analizza la strutturazione del progetto di un edificio residenziale e presenta una costruzione teorica di modello finalizzata alla comunicazione e gestione della pianificazione, aperta a tutti i soggetti coinvolti nel processo edilizio e basata sulle potenzialità dell’approccio parametrico.
Resumo:
Le tecniche dell'informazione e i metodi della comunicazione hanno modificato il modo di redigere documenti destinati a trasmettere la conoscenza, in un processo che è a tutt'oggi in corso di evoluzione. Anche l'attività progettuale in ingegneria ed architettura, pure in un settore caratterizzato da una notevole inerzia metodologica e restio all'innovazione quale è quello dell'industria edilizia, ha conosciuto profonde trasformazioni in ragione delle nuove espressioni tecnologiche. Da tempo l'informazione necessaria per realizzare un edificio, dai disegni che lo rappresentano sino ai documenti che ne indicano le modalità costruttive, può essere gestita in maniera centralizzata mediante un unico archivio di progetto denominato IPDB (Integrated Project DataBase) pur essendone stata recentemente introdotta sul mercato una variante più operativa chiamata BIM (Building Information Modelling). Tuttavia l'industrializzazione del progetto che questi strumenti esplicano non rende conto appieno di tutti gli aspetti che vedono la realizzazione dell'opera architettonica come collettore di conoscenze proprie di una cultura progettuale che, particolarmente in Italia, è radicata nel tempo. La semantica della rappresentazione digitale è volta alla perequazione degli elementi costitutivi del progetto con l'obiettivo di catalogarne le sole caratteristiche fabbricative. L'analisi della letteratura scientifica pertinente alla materia mostra come non sia possibile attribuire ai metodi ed ai software presenti sul mercato la valenza di raccoglitori omnicomprensivi di informazione: questo approccio olistico costituisce invece il fondamento della modellazione integrata intesa come originale processo di rappresentazione della conoscenza, ordinata secondo il paradigma delle "scatole cinesi", modello evolvente che unifica linguaggi appartenenti ai differenti attori compartecipanti nei settori impiantistici, strutturali e della visualizzazione avanzata. Evidenziando criticamente i pregi e i limiti operativi derivanti dalla modellazione integrata, la componente sperimentale della ricerca è stata articolata con l'approfondimento di esperienze condotte in contesti accademici e professionali. Il risultato conseguito ha coniugato le tecniche di rilevamento alle potenzialità di "modelli tridimensionali intelligenti", dotati cioè di criteri discriminanti per la valutazione del relazionamento topologico dei componenti con l'insieme globale.
Resumo:
In the present work, we apply both traditional and Next Generation Sequencing (NGS) tools to investigate some of the most important adaptive traits of wolves (Canis lupus). In the first part, we analyze the variability of three Major Histocompatibility Complex (MHC) class II genes in the Italian wolf population, also studying their possible role in mating choice and their influence on fitness traits. In the second section, as part of a larger canid genome project, we will exploit NGS data to investigate the transcript-level differences between the wolf and the dog genome that can be correlated to domestication.
Resumo:
Although bacteria represent the simplest form of life on Earth, they have a great impact on all living beings. For example the degrader bacterium Pseudomonas pseudoalcaligenes KF707 is used in bioremediation procedures for the recovery of polluted sites. Indeed, KF707 strain is know for its ability to degrade biphenyl and polychlorinated biphenyls - to which is chemotactically attracted - and to tolerate the oxydative stress due to toxic metal oxyanions such as tellurite and selenite. Moreover, in bioremediation processes, target compounds can be easily accessible to KF707 through biofilm formation. All these considerations suggest that KF707 is such a unique microorganism and this Thesis work has been focused on determining the molecular nature of some of the peculiar physiological traits of this strain. The genome project provided a large set of informations: putative genes involved in the degradation of aromatic and toxic compounds and associated to stress response were identified. Notably, multiple chemotactic operons and cheA genes were also found. Deleted mutants in the cheA genes were constructed and their role in motility, chemotaxis and biofilm formation were assessed and compared to those previously attributed to a cheA1 gene in a KF707 mutant constructed by a mini-Tn5 transposon insertion and which was impaired in motility and biofilm development. The results of this present Thesis work, taken together, were interpreted to suggest that in Pseudomonas pseudoalcaligenes KF707 strain, multiple factors are involved in these networks and they might play different roles depending on the environmental conditions. The ability of KF707 strain to produce signal molecules possibly involved in cell-to-cell communication, was also investigated: lack of a lux-like QS system - which is conversely widely present in Gram negative bacteria – keeps open the question about the actual molecular nature of KF707 quorum sensing mechanism.
Resumo:
The continuous increase of genome sequencing projects produced a huge amount of data in the last 10 years: currently more than 600 prokaryotic and 80 eukaryotic genomes are fully sequenced and publically available. However the sole sequencing process of a genome is able to determine just raw nucleotide sequences. This is only the first step of the genome annotation process that will deal with the issue of assigning biological information to each sequence. The annotation process is done at each different level of the biological information processing mechanism, from DNA to protein, and cannot be accomplished only by in vitro analysis procedures resulting extremely expensive and time consuming when applied at a this large scale level. Thus, in silico methods need to be used to accomplish the task. The aim of this work was the implementation of predictive computational methods to allow a fast, reliable, and automated annotation of genomes and proteins starting from aminoacidic sequences. The first part of the work was focused on the implementation of a new machine learning based method for the prediction of the subcellular localization of soluble eukaryotic proteins. The method is called BaCelLo, and was developed in 2006. The main peculiarity of the method is to be independent from biases present in the training dataset, which causes the over‐prediction of the most represented examples in all the other available predictors developed so far. This important result was achieved by a modification, made by myself, to the standard Support Vector Machine (SVM) algorithm with the creation of the so called Balanced SVM. BaCelLo is able to predict the most important subcellular localizations in eukaryotic cells and three, kingdom‐specific, predictors were implemented. In two extensive comparisons, carried out in 2006 and 2008, BaCelLo reported to outperform all the currently available state‐of‐the‐art methods for this prediction task. BaCelLo was subsequently used to completely annotate 5 eukaryotic genomes, by integrating it in a pipeline of predictors developed at the Bologna Biocomputing group by Dr. Pier Luigi Martelli and Dr. Piero Fariselli. An online database, called eSLDB, was developed by integrating, for each aminoacidic sequence extracted from the genome, the predicted subcellular localization merged with experimental and similarity‐based annotations. In the second part of the work a new, machine learning based, method was implemented for the prediction of GPI‐anchored proteins. Basically the method is able to efficiently predict from the raw aminoacidic sequence both the presence of the GPI‐anchor (by means of an SVM), and the position in the sequence of the post‐translational modification event, the so called ω‐site (by means of an Hidden Markov Model (HMM)). The method is called GPIPE and reported to greatly enhance the prediction performances of GPI‐anchored proteins over all the previously developed methods. GPIPE was able to predict up to 88% of the experimentally annotated GPI‐anchored proteins by maintaining a rate of false positive prediction as low as 0.1%. GPIPE was used to completely annotate 81 eukaryotic genomes, and more than 15000 putative GPI‐anchored proteins were predicted, 561 of which are found in H. sapiens. In average 1% of a proteome is predicted as GPI‐anchored. A statistical analysis was performed onto the composition of the regions surrounding the ω‐site that allowed the definition of specific aminoacidic abundances in the different considered regions. Furthermore the hypothesis that compositional biases are present among the four major eukaryotic kingdoms, proposed in literature, was tested and rejected. All the developed predictors and databases are freely available at: BaCelLo http://gpcr.biocomp.unibo.it/bacello eSLDB http://gpcr.biocomp.unibo.it/esldb GPIPE http://gpcr.biocomp.unibo.it/gpipe
Resumo:
Motivation An actual issue of great interest, both under a theoretical and an applicative perspective, is the analysis of biological sequences for disclosing the information that they encode. The development of new technologies for genome sequencing in the last years, opened new fundamental problems since huge amounts of biological data still deserve an interpretation. Indeed, the sequencing is only the first step of the genome annotation process that consists in the assignment of biological information to each sequence. Hence given the large amount of available data, in silico methods became useful and necessary in order to extract relevant information from sequences. The availability of data from Genome Projects gave rise to new strategies for tackling the basic problems of computational biology such as the determination of the tridimensional structures of proteins, their biological function and their reciprocal interactions. Results The aim of this work has been the implementation of predictive methods that allow the extraction of information on the properties of genomes and proteins starting from the nucleotide and aminoacidic sequences, by taking advantage of the information provided by the comparison of the genome sequences from different species. In the first part of the work a comprehensive large scale genome comparison of 599 organisms is described. 2,6 million of sequences coming from 551 prokaryotic and 48 eukaryotic genomes were aligned and clustered on the basis of their sequence identity. This procedure led to the identification of classes of proteins that are peculiar to the different groups of organisms. Moreover the adopted similarity threshold produced clusters that are homogeneous on the structural point of view and that can be used for structural annotation of uncharacterized sequences. The second part of the work focuses on the characterization of thermostable proteins and on the development of tools able to predict the thermostability of a protein starting from its sequence. By means of Principal Component Analysis the codon composition of a non redundant database comprising 116 prokaryotic genomes has been analyzed and it has been showed that a cross genomic approach can allow the extraction of common determinants of thermostability at the genome level, leading to an overall accuracy in discriminating thermophilic coding sequences equal to 95%. This result outperform those obtained in previous studies. Moreover, we investigated the effect of multiple mutations on protein thermostability. This issue is of great importance in the field of protein engineering, since thermostable proteins are generally more suitable than their mesostable counterparts in technological applications. A Support Vector Machine based method has been trained to predict if a set of mutations can enhance the thermostability of a given protein sequence. The developed predictor achieves 88% accuracy.
Resumo:
This PhD Thesis is the result of my research activity in the last three years. My main research interest was centered on the evolution of mitochondrial genome (mtDNA), and on its usefulness as a phylogeographic and phylogenetic marker at different taxonomic levels in different taxa of Metazoa. From a methodological standpoint, my main effort was dedicated to the sequencing of complete mitochondrial genomes, and the approach to whole-genome sequencing was based on the application of Long-PCR and shotgun sequences. Moreover, this research project is a part of a bigger sequencing project of mtDNAs in many different Metazoans’ taxa, and I mostly dedicated myself to sequence and analyze mtDNAs in selected taxa of bivalves and hexapods (Insecta). Sequences of bivalve mtDNAs are particularly limited, and my study contributed to extend the sampling. Moreover, I used the bivalve Musculista senhousia as model taxon to investigate the molecular mechanisms and the evolutionary significance of their aberrant mode of mitochondrial inheritance (Doubly Uniparental Inheritance, see below). In Insects, I focused my attention on the Genus Bacillus (Insecta Phasmida). A detailed phylogenetic analysis was performed in order to assess phylogenetic relationships within the genus, and to investigate the placement of Phasmida in the phylogenetic tree of Insecta. The main goal of this part of my study was to add to the taxonomic coverage of sequenced mtDNAs in basal insects, which were only partially analyzed.
Resumo:
The DNA topology is an important modifier of DNA functions. Torsional stress is generated when right handed DNA is either over- or underwound, producing structural deformations which drive or are driven by processes such as replication, transcription, recombination and repair. DNA topoisomerases are molecular machines that regulate the topological state of the DNA in the cell. These enzymes accomplish this task by either passing one strand of the DNA through a break in the opposing strand or by passing a region of the duplex from the same or a different molecule through a double-stranded cut generated in the DNA. Because of their ability to cut one or two strands of DNA they are also target for some of the most successful anticancer drugs used in standard combination therapies of human cancers. An effective anticancer drug is Camptothecin (CPT) that specifically targets DNA topoisomerase 1 (TOP 1). The research project of the present thesis has been focused on the role of human TOP 1 during transcription and on the transcriptional consequences associated with TOP 1 inhibition by CPT in human cell lines. Previous findings demonstrate that TOP 1 inhibition by CPT perturbs RNA polymerase (RNAP II) density at promoters and along transcribed genes suggesting an involvement of TOP 1 in RNAP II promoter proximal pausing site. Within the transcription cycle, promoter pausing is a fundamental step the importance of which has been well established as a means of coupling elongation to RNA maturation. By measuring nascent RNA transcripts bound to chromatin, we demonstrated that TOP 1 inhibition by CPT can enhance RNAP II escape from promoter proximal pausing site of the human Hypoxia Inducible Factor 1 (HIF-1) and c-MYC genes in a dose dependent manner. This effect is dependent from Cdk7/Cdk9 activities since it can be reversed by the kinases inhibitor DRB. Since CPT affects RNAP II by promoting the hyperphosphorylation of its Rpb1 subunit the findings suggest that TOP 1inhibition by CPT may increase the activity of Cdks which in turn phosphorylate the Rpb1 subunit of RNAP II enhancing its escape from pausing. Interestingly, the transcriptional consequences of CPT induced topological stress are wider than expected. CPT increased co-transcriptional splicing of exon1 and 2 and markedly affected alternative splicing at exon 11. Surprisingly despite its well-established transcription inhibitory activity, CPT can trigger the production of a novel long RNA (5’aHIF-1) antisense to the human HIF-1 mRNA and a known antisense RNA at the 3’ end of the gene, while decreasing mRNA levels. The effects require TOP 1 and are independent from CPT induced DNA damage. Thus, when the supercoiling imbalance promoted by CPT occurs at promoter, it may trigger deregulation of the RNAP II pausing, increased chromatin accessibility and activation/derepression of antisense transcripts in a Cdks dependent manner. A changed balance of antisense transcripts and mRNAs may regulate the activity of HIF-1 and contribute to the control of tumor progression After focusing our TOP 1 investigations at a single gene level, we have extended the study to the whole genome by developing the “Topo-Seq” approach which generates a map of genome-wide distribution of sites of TOP 1 activity sites in human cells. The preliminary data revealed that TOP 1 preferentially localizes at intragenic regions and in particular at 5’ and 3’ ends of genes. Surprisingly upon TOP 1 downregulation, which impairs protein expression by 80%, TOP 1 molecules are mostly localized around 3’ ends of genes, thus suggesting that its activity is essential at these regions and can be compensate at 5’ ends. The developed procedure is a pioneer tool for the detection of TOP 1 cleavage sites across the genome and can open the way to further investigations of the enzyme roles in different nuclear processes.
Resumo:
Il presente lavoro si pone l'obiettivo di fornire una rilettura filologica delle fonti numismatiche sui membri femminili della domus imperiale romana da Livia a Matidia Maggiore, supportata da una schedatura informatizzata del documento monetale. La compilazione è stata condotta tramite lo spoglio dei repertori di maggiore consultazione (RIC, BMCRE, BNCMER, HCC) e ha posto l'attenzione sia sugli elementi iconografici che su quelli epigrafici che vanno a comporre l'aspetto estrinseco della moneta. La scelta di tali elementi nelle emissioni imperiali è l'espressione di un vero e proprio linguaggio dotato di una logica comunicativa ben precisa e finalizzata a garantire la comprensibilità del messaggio. La sua decodifica consente di individuare possibili linee di definizione del ruolo pubblico e politico delle Auguste nel quadro dell'ideologia imperiale. A veicolare questo significato contribuiscono ugualmente gli elementi iconografici, con valore connotativo rispetto al soggetto raffigurato, e quelli epigrafici, con valore esplicativo ai fini della comprensione del dato visivo. La moneta rappresenta dunque un documento complesso, che necessita di una specifica metodologia di indagine volta a interpretarne tutti gli elementi.