1,721,023 research outputs found

    Replication Data for: Assessing the utility of minority variant composition in elucidating RSV transmission pathways

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    These data include epidemiological profiles derived from a community household study of respiratory syncytial virus in coast Kenya. The original datasets have been described previously in http://doi.org/10.1093/infdis/jit828 and http://doi.org/10.1093/ve/vex006 but in brief, swabs were collected twice weekly from all members of 47 households in Kilifi County, Kenya during the RSV season from December 2009 until June 2010. The datasets included in this repository are largely variant calls made from short read sequence data using a number of variant callers. In addition, we have included whole genome phylogenetic trees from three households and which have been described previously.</p

    Replication Data for: Assessing the utility of minority variant composition in elucidating RSV transmission pathways

    No full text
    These data include epidemiological profiles derived from a community household study of respiratory syncytial virus in coast Kenya. The original datasets have been described previously in http://doi.org/10.1093/infdis/jit828 and http://doi.org/10.1093/ve/vex006 but in brief, swabs were collected twice weekly from all members of 47 households in Kilifi County, Kenya during the RSV season from December 2009 until June 2010. The datasets included in this repository are largely variant calls made from short read sequence data using a number of variant callers. In addition, we have included whole genome phylogenetic trees from three households and which have been described previously.</p

    Replication Data for: Evaluating the Performance of Tools Used to Call Minority Variants from Whole Genome Short-Read Data

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    Several minority variant callers have been developed to describe the minority variants sub-populations from whole genome sequence data. These tools differ based on bioinformatics and statistical approaches used to distinguish between real errors and relevant low-frequency variants. This project evaluated the diagnostic performance of four published minority variant callers and assessed overall concordance used to report minority variants from short-read sequenced data. An ART-Illumina read simulation tool was used to generate artificial short-read datasets of varying coverage based on a Respiratory Syncytial Virus (RSV) reference genome. The samples were spiked with nucleotide variants at predetermined positions and frequencies and thereafter called using FreeBayes, LoFreq, Vardict, and VarScan2. To identify the effect of the quality of data on concordance and performance of the callers we included datasets with error profiles

    Replication Data for: Evaluating the Performance of Tools Used to Call Minority Variants from Whole Genome Short-Read Data

    No full text
    Several minority variant callers have been developed to describe the minority variants sub-populations from whole genome sequence data. These tools differ based on bioinformatics and statistical approaches used to distinguish between real errors and relevant low-frequency variants. This project evaluated the diagnostic performance of four published minority variant callers and assessed overall concordance used to report minority variants from short-read sequenced data. An ART-Illumina read simulation tool was used to generate artificial short-read datasets of varying coverage based on a Respiratory Syncytial Virus (RSV) reference genome. The samples were spiked with nucleotide variants at predetermined positions and frequencies and thereafter called using FreeBayes, LoFreq, Vardict, and VarScan2. To identify the effect of the quality of data on concordance and performance of the callers we included datasets with error profiles

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

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    “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

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    We 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

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    We 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

    Author Index

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