1,720,969 research outputs found
Analysis of 22 deletion breakpoints in dystrophin intron 49
No full textOver 60% of Duchenne and Becker muscular dystrophies are caused by deletions spanning tens or hundreds of kilobases in the dystrophin gene. The molecular mechanisms underlying the loss of DNA at this genomic locus are not yet understood. By studying the distribution of deletion breakpoints at the genomic level, we have previously shown that intron 49 exhibits a higher relative density of breakpoints than most dystrophin introns. To determine whether the mechanisms leading to deletions in this intron preferentially involve specific sequence elements, we sublocalized 22 deletion endpoints along its length by a polymerase-chain-reaction-based approach and, in particular, analyzed the nucleotide sequences of five deletion junctions. Deletion breakpoints were homogeneously distributed throughout the intron length, and no extensive homology was observed between the sequences adjacent to each breakpoint. However, a short sequence able to curve the DNA molecule was found at or near three breakpoint junctions
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Inference of functional potential of microbiota from 16s sequencing data
No full textopenIl microbiota intestinale, ovvero l’insieme dei microbi presenti all’interno dell’intestino, ha un ruolo fondamentale per quel che riguarda la salute di uomini e animali, al punto che alterazioni del suo equilibrio possono influenzare lo sviluppo di diverse malattie. Negli anni sono state sviluppate diverse tecniche per la caratterizzazione del microbiota; in particolare hanno trovato vasta applicazione quelle basate sul “Next Generation Sequencing” ossia sui sequenziatori genici di nuova generazione. All’interno di questo lavoro di tesi sono stati presi in considerazione due metodi di sequenziamento ovvero il 16S rRNA Amplicon Sequencing e poi il Whole Genome Shotgun Sequencing (WGS).
Il primo metodo, più economico, consente di quantificare seppur in maniera relativa, la presenza delle diverse categorie tassonomiche nel campione; il secondo metodo, circa 10 volte più costoso, consente di quantificare, non solo la presenza di diversi batteri, ma anche la presenza dei diversi geni nei genomi batterici, e quindi la loro potenzialità in termini di funzioni che possono svolgere.
In questa tesi ho valutato diversi metodi per l’inferenza del potenziale funzionale, a partire da dati 16s, per poi comparare i risultati con quelli che si ottengono direttamente da dati WGS su 9 diversi dataset, reali e simulati. I tool che sono stati considerati per questa analisi sono PICRUSt2, PanFP e Tax4Fun2. I confronti poi sono stati effettuati utilizzando diverse metriche come correlazione di Spearman, indice di Bray-Curtis, Balanced Accuracy, Precision, Recall e F_1_score e diverse tecniche quali Principal Coordinate Analysis (PCoA) e Clustering.
Il tool migliore, che permette di ottenere una predizione del profilo funzionale che, partendo dal dato 16S, si avvicina al dato WGS, sembra essere PICRUSt2 per 7 dei 9 dataset presi in considerazione. In particolare, se non a quantificare con esattezza la presenza dei diversi geni, questi tool sembrano una buona risorsa per l’analisi della presenza/assenza degli stessi.The gut microbiota is characterized by microbes and has a fundamental role in human and animal health, so much so that little changes in gut microbiota can lead to some serious illnesses. Through the years, different techniques were developed to analyze gut microbiota but the most important are the ones belonging to the Next Generation Sequencing. In this work two different techniques of sequencing have been taken into consideration: 16s Amplicon Sequencing and Whole Genome Shotgun Sequencing (WGS). The first method, the most economic one, allows to quantify the presence of different taxonomic categories in one sample; the second one, which is ten times more expensive, instead allows to quantify not only the presence of different bacteria but also the presence of the various genes thus their potential functionality. With this dissertation I evaluated different tools to make inferences on the functional profile of gut microbiota starting from 16s data, and then compare the results with the ones obtained directly from WGS using nine different datasets, real and simulated. The tools taken in consideration for this analysis are: PanFP, PICRUSt2 and Tax4Fun2. The comparison is made using different metrics, such as Spearman’s correlation, Bray-Curtis Index, Balanced Accuracy, Precision, Recall and F_1_score, and different techniques, such as Principal Coordinate Analysis (PCoA) and Clustering. The best tool to make inferences on the functional profile, starting from 16s data, which are most similar to the ones obtained by WGS, appears to be PICRUSt2 for 7 out of 9 datasets considered. Specificly, these tools are useful to better quantify the presence/absence of genes than the abundance of them
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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