Implementazione Libreria C per il Multiple Testing correction

Nell'era genomica moderna, la mole di dati generata dal sequenziamento genetico è diventata estremamente elevata. L’analisi di dati genomici richiede l’utilizzo di metodi di significatività statistica per quantificare la robustezza delle correlazioni individuate nei dati. La significatività statistica ci permette di capire se le relazioni nei dati che stiamo analizzando abbiano effettivamente un peso statistico, cioè se l’evento che stiamo analizzando è successo “per caso” o è effettivamente corretto pensare che avvenga con una probabilità utile. Indipendentemente dal test statistico utilizzato, in presenza di test multipli di verifica (“Multiple Testing Hypothesis”) è necessario utilizzare metodi per la correzione della significatività statistica (“Multiple Testing Correction”). Lo scopo di questa tesi è quello di rendere disponibili le implementazioni dei più noti metodi di correzione della significatività statistica. È stata creata una raccolta di questi metodi, sottoforma di libreria, proprio perché nel panorama bioinformatico moderno non è stato trovato nulla del genere.

Analisi dei comportamenti degli utenti per lo sviluppo di un sistema di App Recommendation

Negli ultimi cinque anni lo sviluppo di applicazioni mobile ha visto un grandissimo incremento dovuto pricipalmente all’esplosione della diffusione di smartphone; questo fenomeno ha reso disponibile agli analisti una enorme quantità di dati sulle abitudini degli utenti. L’approccio centralizzato nella distribuzione delle applicazioni da parte dei grandi provider quali Apple, Google e Microsoft ha permesso a migliaia di sviluppatori di tutto il mondo di raggiungere con i loro prodotti gli utenti finali e diffondere l’utilizzo di applicativi installabili; le app infatti sono diventate in poco tempo fondamentali nella vita di tutti i giorni e in alcuni casi hanno sostituito funzioni primarie del telefono cellulare. Obiettivo principale di questo studio sarà inferire pattern comportamentali dall’analisi di una grossa mole di dati riguardanti l’utilizzo dello smartphone e delle app installabili da parte di un gruppo di utenti. Ipotizzando di avere a disposizione tutte le azioni che un determinato bacino di utenza effettua nella selezione delle applicazioni di loro interesse quando accedono al marketplace (luogo digitale da cui è possibile scaricare nuove applicazioni ed installarle) è possibile stimare, ovviamente con un certo margine di errore, dati sensibili dell’utente quali: Sesso, Età, Interessi e così via analizzandoli in relazione ad un modello costruito su dati di un campione di utenti ben noto. Costruiremo così un modello utilizzando dati di utenti ben noti di cui conosciamo i dettagli sensibili e poi, tramite avanzate tecniche di regressione e classificazione saremo in grado di definire se esiste o meno una correlazione tra le azioni effettuate su uno Smartphone e il profilo dell’utente. La seconda parte della tesi sarà incentrata sull'analisi di sistemi di raccomandazioni attualmente operativi e ci concentreremo sullo studio di possibili sviluppi sviluppi futuri di questi sistemi partendo dai risultati sperimentali ottenuti.

The use of mobile single-sided NMR for the diagnosis of osteoporosis: a preliminary study

Una nuova ed originale tecnica è stata messa a punto, finalizzata alla realizzazione di una procedura per la diagnosi dell’osteoporosi, mediante l’utilizzo di scanner low field single-sided NMR. Tre differenti scanner (NMR MOLE, MOUSE PM 10 e MOUSE PM5) sono stati usati per determinare il Bone Volume-to-Total Volume ratio (BV/TV), parametro che fornisce indicazioni sulla microstruttura dell’osso. I risultati sono stati confrontati con le analisi micro-CT. Gli esperimenti sono stati condotti nel Lab. NMR del dipartimento DIFA di UNIBO e nel Lab. NMR della Victoria University di Wellington (NZ), durante un periodo di visita di cinque mesi, supportato da una borsa di studio della “Facoltà di Scienze” di UNIBO. Le analisi micro-CT sono state condotte presso il Lab. di Tecnologie Mediche dell’Istituto Ortopedico Rizzoli, Bologna. La ricerca è stata parzialmente finanziata dalla “Fondazione del Monte di Bologna e Ravenna”. La caratterizzazione dell’osso trabecolare di campioni animali e dei tessuti che lo circondano (come cartilagine e muscolo) è stata condotta tramite mappe di correlazione T1-T2 e D-T2 , dove T1 e T2 sono, rispettivamente, il tempo di rilassamento longitudinale e trasversale del nucleo 1H, e D è il coefficiente di autodiffusione molecolare. E’ stata sviluppata una sequenza di impulsi (Diffusion-Weighted T1-T2) per ottenere mappe T1-T2 pesate in diffusione. I risultati hanno consentito di mettere a punto una procedura che elimina il segnale NMR proveniente da cartilagine e muscolo, rendendo più realistico lo scenario di applicazione in-vivo. I tre diversi dispositivi NMR hanno dato risultati consistenti tra loro e con le immagini micro-CT. L’intera catena di esperimenti condotti ha mostrato che dispositivi NMR single-sided possono essere usati per valutare il BV/TV di ossa trabecolari, con il vantaggio di essere portatili, a basso costo e non invasivi, permettendo campagne di screening della popolazione a rischio osteoporosi.

Smart City e Analisi di Big Data da Tracce Vodafone di Dispositivi Mobili

I dispositivi mobili, dagli smartphone ai tablet, sono entrati a far parte della nostra quotidianità. Controllando l’infrastruttura delle comunicazioni, rispetto a qualsiasi altro settore, si ha un maggiore accesso a informazioni relative alla geo-localizzazione degli utenti e alle loro interazioni. Questa grande mole di informazioni può aiutare a costruire città intelligenti e sostenibili, che significa modernizzare ed innovare le infrastrutture, migliorare la qualità della vita e soddisfare le esigenze di cittadini, imprese e istituzioni. Vodafone offre soluzioni concrete nel campo dell’info-mobilità consentendo la trasformazione delle nostre città in Smart City. Obiettivo della tesi e del progetto Proactive è cercare di sviluppare strumenti che, a partire da dati provenienti dalla rete mobile Vodafone, consentano di ricavare e di rappresentare su cartografia dati indicanti la presenza dei cittadini in determinati punti d’interesse, il profilo di traffico di determinati segmenti viari e le matrici origine/destinazione. Per fare questo verranno prima raccolti e filtrati i dati della città di Milano e della regione Lombardia provenienti dalla rete mobile Vodafone per poi, in un secondo momento, sviluppare degli algoritmi e delle procedure in PL/SQL che siano in grado di ricevere questo tipo di dato, di analizzarlo ed elaborarlo restituendo i risultati prestabiliti. Questi risultati saranno poi rappresentati su cartografia grazie a QGis e grazie ad una Dashboard aziendale interna di Vodafone. Lo sviluppo delle procedure e la rappresentazione cartografica dei risultati verranno eseguite in ambiente di Test e se i risultati soddisferanno i requisiti di progetto verrà effettuato il porting in ambiente di produzione. Grazie a questo tipo di soluzioni, che forniscono dati in modalità anonima e aggregata in ottemperanza alle normative di privacy, le aziende di trasporto pubblico, ad esempio, potranno essere in grado di gestire il traffico in modo più efficiente.

Progettazione di Data Warehouse di dati genomici su piattaforma Hadoop

Negli ultimi anni la biologia ha fatto ricorso in misura sempre maggiore all’informatica per affrontare analisi complesse che prevedono l’utilizzo di grandi quantità di dati. Fra le scienze biologiche che prevedono l’elaborazione di una mole di dati notevole c’è la genomica, una branca della biologia molecolare che si occupa dello studio di struttura, contenuto, funzione ed evoluzione del genoma degli organismi viventi. I sistemi di data warehouse sono una tecnologia informatica che ben si adatta a supportare determinati tipi di analisi in ambito genomico perché consentono di effettuare analisi esplorative e dinamiche, analisi che si rivelano utili quando si vogliono ricavare informazioni di sintesi a partire da una grande quantità di dati e quando si vogliono esplorare prospettive e livelli di dettaglio diversi. Il lavoro di tesi si colloca all’interno di un progetto più ampio riguardante la progettazione di un data warehouse in ambito genomico. Le analisi effettuate hanno portato alla scoperta di dipendenze funzionali e di conseguenza alla definizione di una gerarchia nei dati. Attraverso l’inserimento di tale gerarchia in un modello multidimensionale relativo ai dati genomici sarà possibile ampliare il raggio delle analisi da poter eseguire sul data warehouse introducendo un contenuto informativo ulteriore riguardante le caratteristiche dei pazienti. I passi effettuati in questo lavoro di tesi sono stati prima di tutto il caricamento e filtraggio dei dati. Il fulcro del lavoro di tesi è stata l’implementazione di un algoritmo per la scoperta di dipendenze funzionali con lo scopo di ricavare dai dati una gerarchia. Nell’ultima fase del lavoro di tesi si è inserita la gerarchia ricavata all’interno di un modello multidimensionale preesistente. L’intero lavoro di tesi è stato svolto attraverso l’utilizzo di Apache Spark e Apache Hadoop.

Fantasy Making the Invisible Visible: Liminality in Neil Gaiman's Neverwhere and American Gods

The purpose of this thesis was to examine the ways in which the fantasy genre is ideally positioned for discussing social issues, such as invisibility and liminality. Elements associated with invisibility, such as poverty, homelessness, and alienation, were explored within two novels by Neil Gaiman: Neverwhere and American Gods. Gaiman's application of these elements within the fantasy genre were juxtaposed with samples from other genres, including Plato's 'Parable of the Cave' and Jennifer Toth's The Mole People. Another aim was to contrast Gaiman's use of the 'beast in the sewer' metaphor with previous renditions of the myth, demonstrating how fantasy, paradoxically, offers a unique and privileged view of reality.

Comparison of the receptor FGFRL1 from sea urchins and humans illustrates evolution of a zinc binding motif in the intracellular domain

BACKGROUND: FGFRL1, the gene for the fifth member of the fibroblast growth factor receptor (FGFR) family, is found in all vertebrates from fish to man and in the cephalochordate amphioxus. Since it does not occur in more distantly related invertebrates such as insects and nematodes, we have speculated that FGFRL1 might have evolved just before branching of the vertebrate lineage from the other invertebrates (Beyeler and Trueb, 2006). RESULTS: We identified the gene for FGFRL1 also in the sea urchin Strongylocentrotus purpuratus and cloned its mRNA. The deduced amino acid sequence shares 62% sequence similarity with the human protein and shows conservation of all disulfides and N-linked carbohydrate attachment sites. Similar to the human protein, the S. purpuratus protein contains a histidine-rich motif at the C-terminus, but this motif is much shorter than the human counterpart. To analyze the function of the novel motif, recombinant fusion proteins were prepared in a bacterial expression system. The human fusion protein bound to nickel and zinc affinity columns, whereas the sea urchin protein barely interacted with such columns. Direct determination of metal ions by atomic absorption revealed 2.6 mole zinc/mole protein for human FGFRL1 and 1.7 mole zinc/mole protein for sea urchin FGFRL1. CONCLUSION: The FGFRL1 gene has evolved much earlier than previously assumed. A comparison of the intracellular domain between sea urchin and human FGFRL1 provides interesting insights into the shaping of a novel zinc binding domain.

Liquid–Vapor Interface of Formic Acid Solutions in Salt Water: A Comparison of Macroscopic Surface Tension and Microscopic in Situ X-ray Photoelectron Spectroscopy Measurements

The liquid–vapor interface is difficult to access experimentally but is of interest from a theoretical and applied point of view and has particular importance in atmospheric aerosol chemistry. Here we examine the liquid–vapor interface for mixtures of water, sodium chloride, and formic acid, an abundant chemical in the atmosphere. We compare the results of surface tension and X-ray photoelectron spectroscopy (XPS) measurements over a wide range of formic acid concentrations. Surface tension measurements provide a macroscopic characterization of solutions ranging from 0 to 3 M sodium chloride and from 0 to over 0.5 mole fraction formic acid. Sodium chloride was found to be a weak salting out agent for formic acid with surface excess depending only slightly on salt concentration. In situ XPS provides a complementary molecular level description about the liquid–vapor interface. XPS measurements over an experimental probe depth of 51 Å gave the C 1s to O 1s ratio for both total oxygen and oxygen from water. XPS also provides detailed electronic structure information that is inaccessible by surface tension. Density functional theory calculations were performed to understand the observed shift in C 1s binding energies to lower values with increasing formic acid concentration. Part of the experimental −0.2 eV shift can be assigned to the solution composition changing from predominantly monomers of formic acid to a combination of monomers and dimers; however, the lack of an appropriate reference to calibrate the absolute BE scale at high formic acid mole fraction complicates the interpretation. Our data are consistent with surface tension measurements yielding a significantly more surface sensitive measurement than XPS due to the relatively weak propensity of formic acid for the interface. A simple model allowed us to replicate the XPS results under the assumption that the surface excess was contained in the top four angstroms of solution.

Evaluating atmospheric methane inversion model results for Pallas, northern Finland

A state-of-the-art inverse model, CarbonTracker Data Assimilation Shell (CTDAS), was used to optimize estimates of methane (CH4) surface fluxes using atmospheric observations of CH4 as a constraint. The model consists of the latest version of the TM5 atmospheric chemistry-transport model and an ensemble Kalman filter based data assimilation system. The model was constrained by atmospheric methane surface concentrations, obtained from the World Data Centre for Greenhouse Gases (WDCGG). Prior methane emissions were specified for five sources: biosphere, anthropogenic, fire, termites and ocean, of which bio-sphere and anthropogenic emissions were optimized. Atmospheric CH 4 mole fractions for 2007 from northern Finland calculated from prior and optimized emissions were compared with observations. It was found that the root mean squared errors of the posterior esti - mates were more than halved. Furthermore, inclusion of NOAA observations of CH 4 from weekly discrete air samples collected at Pallas improved agreement between posterior CH 4 mole fraction estimates and continuous observations, and resulted in reducing optimized biosphere emissions and their uncertainties in northern Finland.

Gas adsorption and desorption effects on cylinders and their importance for long-term gas records

It is well known that gases adsorb on many surfaces, in particular metal surfaces. There are two main forms responsible for these effects (i) physisorption and (ii) chemisorption. Physisorption is associated with lower binding energies in the order of 1–10 kJ mol−¹, compared to chemisorption which ranges from 100 to 1000 kJ mol−¹. Furthermore, chemisorption only forms monolayers, contrasting physisorption that can form multilayer adsorption. The reverse process is called desorption and follows similar mathematical laws; however, it can be influenced by hysteresis effects. In the present experiment, we investigated the adsorption/desorption phenomena on three steel and three aluminium cylinders containing compressed air in our laboratory and under controlled conditions in a climate chamber, respectively. Our observations from completely decanting one steel and two aluminium cylinders are in agreement with the pressure dependence of physisorption for CO₂, CH₄, and H₂O. The CO₂ results for both cylinder types are in excellent agreement with the pressure dependence of a monolayer adsorption model. However, mole fraction changes due to adsorption on aluminium (< 0.05 and 0 ppm for CO₂ and H₂O) were significantly lower than on steel (< 0.41 ppm and about < 2.5 ppm, respectively). The CO₂ amount adsorbed (5.8 × 1019 CO₂ molecules) corresponds to about the fivefold monolayer adsorption, indicating that the effective surface exposed for adsorption is significantly larger than the geometric surface area. Adsorption/desorption effects were minimal for CH₄ and for CO but require further attention since they were only studied on one aluminium cylinder with a very low mole fraction. In the climate chamber, the cylinders were exposed to temperatures between −10 and +50 °C to determine the corresponding temperature coefficients of adsorption. Again, we found distinctly different values for CO₂, ranging from 0.0014 to 0.0184 ppm °C−¹ for steel cylinders and −0.0002 to −0.0003 ppm °C−¹ for aluminium cylinders. The reversed temperature dependence for aluminium cylinders points to significantly lower desorption energies than for steel cylinders and due to the small values, they might at least partly be influenced by temperature, permeation from/to sealing materials, and gas-consumption-induced pressure changes. Temperature coefficients for CH₄, CO, and H₂O adsorption were, within their error bands, insignificant. These results do indicate the need for careful selection and usage of gas cylinders for high-precision calibration purposes such as requested in trace gas applications.

Real-time analysis of δ13C- and δD-CH4 in ambient air with laser spectroscopy: method development and first intercomparison results

In situ and simultaneous measurement of the three most abundant isotopologues of methane using mid-infrared laser absorption spectroscopy is demonstrated. A field-deployable, autonomous platform is realized by coupling a compact quantum cascade laser absorption spectrometer (QCLAS) to a preconcentration unit, called trace gas extractor (TREX). This unit enhances CH4 mole fractions by a factor of up to 500 above ambient levels and quantitatively separates interfering trace gases such as N2O and CO2. The analytical precision of the QCLAS isotope measurement on the preconcentrated (750 ppm, parts-per-million, µmole mole−1) methane is 0.1 and 0.5 ‰ for δ13C- and δD-CH4 at 10 min averaging time. Based on repeated measurements of compressed air during a 2-week intercomparison campaign, the repeatability of the TREX–QCLAS was determined to be 0.19 and 1.9 ‰ for δ13C and δD-CH4, respectively. In this intercomparison campaign the new in situ technique is compared to isotope-ratio mass spectrometry (IRMS) based on glass flask and bag sampling and real time CH4 isotope analysis by two commercially available laser spectrometers. Both laser-based analyzers were limited to methane mole fraction and δ13C-CH4 analysis, and only one of them, a cavity ring down spectrometer, was capable to deliver meaningful data for the isotopic composition. After correcting for scale offsets, the average difference between TREX–QCLAS data and bag/flask sampling–IRMS values are within the extended WMO compatibility goals of 0.2 and 5 ‰ for δ13C- and δD-CH4, respectively. This also displays the potential to improve the interlaboratory compatibility based on the analysis of a reference air sample with accurately determined isotopic composition.

Phylogenetic analysis of receptor FgfrL1 shows divergence of the C-terminal end in rodents

FGFRL1 is a member of the fibroblast growth factor receptor (FGFR) family. Similar to the classical receptors FGFR1-FGFR4, it contains three extracellular Ig-like domains and a single transmembrane domain. However, it lacks the intracellular tyrosine kinase domain that would be required for signal transduction, but instead contains a short intracellular tail with a peculiar histidine-rich motif. This motif has been conserved during evolution from mollusks to echinoderms and vertebrates. Only the sequences of FgfrL1 from a few rodents diverge at the C-terminal region from the canonical sequence, as they appear to have suffered a frameshift mutation within the histidine-rich motif. This mutation is observed in mouse, rat and hamster, but not in the closely related rodents mole rat (Nannospalax) and jerboa (Jaculus), suggesting that it has occurred after branching of the Muridae and Cricetidae from the Dipodidae and Spalacidae. The consequence of the frameshift is a deletion of a few histidine residues and an extension of the C-terminus by about 40 unrelated amino acids. A similar frameshift mutation has also been observed in a human patient with a craniosynostosis syndrome as well as in several patients with colorectal cancer and bladder tumors, suggesting that the histidine-rich motif is prone to mutation. The reason why this motif was conserved during evolution in most species, but not in mice, is not clear.

Apatite as an indicator of fluid salinity: An experimental study of chlorine and fluorine partitioning in subducted sediments

In order to constrain the salinity of subduction zone fluids, piston-cylinder experiments have been conducted to investigate the partitioning behaviour of Cl and F in subducted sediments. These experiments were performed at H2O-undersaturated conditions with a synthetic pelite starting composition containing 800 ppm Cl, over a pressure and temperature range of 2.5–4.5 GPa and 630–900 °C. Repetitive experiments were conducted with 1900 ppm Cl + 1000 ppm F, and 2100 ppm Cl. Apatite represents the most Cl-abundant mineral phase, with Cl concentration varying in the range 0.1–2.82 wt%. Affinity for Cl decreases over the following sequence: aqueous fluid > apatite ⩾ melt > other hydrous minerals (phengite, biotite and amphibole). It was found that addition of F to the Cl-bearing starting composition significantly lowers the Cl partition coefficients between apatite and melt (DClAp–melt) and apatite and aqueous fluid (DClAp–aq). Cl–OH exchange coefficients between apatite and melt (KdCl–OHAp–melt) and apatite and aqueous fluid (KdCl–OHAp–aq) were subsequently calculated. KdCl–OHAp–melt was found to vary from 1 to 58, showing an increase with temperature and a decrease with pressure and displaying a regular decrease with increasing H2O content in melt. Mole fractions of Cl and OH in melt were calculated based on an ideal mixing model for H2O, OH, O, Cl and F. The Cl contents of other hydrous minerals (phengite, biotite and amphibole) fall between 200 and 800 ppm, with resultant Cl partition coefficients from 0.02 to 0.49, appearing independent of the bulk Cl and F content. Preliminary data from this study show that the partitioning behaviour of F is strongly in favour of apatite relative to melt and phengite, with DFAp–melt = 15–51. Apatites from representative eclogite facies metasediments were examined and found to have low Cl contents close to ∼100 ppm. Calculations using our experimentally determined KdCl–OHAp–aq of 0.004 at 2.5 GPa, 630 °C indicate a low salinity character (0.5–2 wt% NaCleq) for the fluid formed during dehydration of subducted oceanic sediment at ∼80 km depth.

Mapping spectroscopic uncertainties into prospective methane retrieval errors from Sentinel-5 and its precursor

Sentinel-5 (S5) and its precursor (S5P) are future European satellite missions aiming at global monitoring of methane (CH4) column-average dry air mole fractions (XCH4). The spectrometers to be deployed onboard the satellites record spectra of sunlight backscattered from the Earth's surface and atmosphere. In particular, they exploit CH4 absorption in the shortwave infrared spectral range around 1.65 mu m (S5 only) and 2.35 mu m (both S5 and S5P) wavelength. Given an accuracy goal of better than 2% for XCH4 to be delivered on regional scales, assessment and reduction of potential sources of systematic error such as spectroscopic uncertainties is crucial. Here, we investigate how spectroscopic errors propagate into retrieval errors on the global scale. To this end, absorption spectra of a ground-based Fourier transform spectrometer (FTS) operating at very high spectral resolution serve as estimate for the quality of the spectroscopic parameters. Feeding the FTS fitting residuals as a perturbation into a global ensemble of simulated S5- and S5P-like spectra at relatively low spectral resolution, XCH4 retrieval errors exceed 0.6% in large parts of the world and show systematic correlations on regional scales, calling for improved spectroscopic parameters.

PREPARATION AND CHARACTERIZATION OF FAD DEPENDENT NADPH CYTOCHROME P-450 REDUCTASE (FLAVOPROTEINS, APOFLAVOPROTEIN)

NADPH cytochrome P-450 reductase releases FMN and FAD upon dilution into slightly acidic potassium bromide. The flavins are released with positive cooperativity. Dithiothreitol protects the FAD dependent cytochrome c reductase activity against inactivation by free radicals. Behavior in potassium bromide is sensitive to changes in the pH. High performance hydroxylapatite resolved the FAD dependent reductase from holoreductase. For 96% FAD dependent reductase, the overall yield was 12%.^ High FAD dependence was matched by a low FAD content, with FAD/FMN as low as 0.015. There were three molecules of FMN for every four molecules of reductase. The aporeductase had negligible activity towards cytochrome c, ferricyanide, menadione, dichlorophenolindophenol, nitro blue tetrazolium, oxygen and acetyl pyridine adenine dinucleotide phosphate. A four minute incubation in FAD reconstituted one half to all of the specific activity, per milligram protein, of untreated reductase, depending upon the substrate. After a two hour reconstitution, the reductase eluted from hydroxylapatite at the location of holoreductase. It had little flavin dependence, was equimolar in FMN and FAD, and had nearly the specific activity (per mole flavin) of untreated reductase.^ The lack of activity and the ability of FMN to also reconstitute suggest that the redox center of FAD is essential for catalysis, rather than for structure. Dependence upon FAD is consistent with existing hypotheses for the catalytic cycle of the reductase. ^