1,721,115 research outputs found
Genotyping of DNA pools of 166 maize landraces with 50K illumina array
No full textGenotyping datasets of 166 maize landraces and 327 lines published in Arca et al., (2023) in Plant Biotechnology Journal entitled "Genotyping of DNA pools identifies untapped landraces and genomic regions to develop next generation varieties".
1) Raw fluorescent Intensity dataset 50K array used for allelic frequency prediction at 23,412 SNPs
2) Allelic frequencies matrix of allele B for 166 maize landraces at 23,412 SNPs obtained by applying two step approach described in Arca et al., 2021, Frontiers in Plant Science (doi:10.3389/fpls.2020.568699) on raw fluorescent intensity dataset with a predictive model calibrated with datasets and scripts from this paper (doi: 10.15454/GANJ7J)
3) Allelic frequencies matrix of allele B for 327 inbred lines from a diversity panel (CK lines panel) at 23,412 SNPs retrieved from genome studio.
4) Modified Roger's Distance (MRD) between 166 maize landraces and 327 inbred lines estimated from genotyping data (Rogers, 1973)
CNVMaize Indels Affymetrix Axiom Array
No full textThese three datasets describe the content of Indel Affymetrix Axiom array corresponding to the publication "High throughput genotyping of structural variations in a complex plant genome using an original Affymetrix® Axiom® array " of Mabire, Duarte et al., 2019. The Affymetrix Axiom array contain 105,927 Indels interogated by 662,772 probes
Amaizing Dent Panel Genotyping Dataset (354 Public Lines)
No full textGenotyping matrix of a collection of 354 dent maize inbred lines corresponding to the "Public Amaizing Dent Panel". This panel includes: (i) 254 dent inbred lines from "Drops panel" assembled in the frame of F7P European projects DROPs (FP7-244374, PI: F. Tardieu) and (ii) 100 dent inbred lines assembled with Drops panel in the frame of ANR PIA Amaizing (ANT-10-BTBR-01, PI: A. Charcosset) in order to enlarge genetic diversity and flowering time variation. This genotyping dataset results from the assembling of four genotyping sub-matrices obtained using three different genotyping technologies: 50K SNP Illumina Infinium HD arrays (Ganal et al., 2011, PLoS ONE 6(12): e28334), 600K SNP Affymetrix Axiom arrays (Unterseer et al., 2014, BMC Genomics, 15,15) and Genotyping By Sequencing from Cornell Institute (Elshire et al, 2011, PLoS ONE 6(5): e19379; Glaubitz et al., 2014, PLoS ONE 9 (2): e90346), and some kaspar markers. Genotyping data were filtered and missing data were imputed using Beagle V3.3.2 (Browning and Browning, 2007, Am J Hum Genet 81:210-223) after assembling three sub-matrices and removing duplicate loci based on their physical position. 50K and 600K genotyping data for 254 lines of "Drops Panel" were funded by F7P European project DROPS. GBS data for 354 lines and remaining 50K and 600K data for 100 additionnal lines were funded by ANR PIA Amaizing. We obtained a genotyping dataset of 354 lines by 978,134 not duplicated and polymorphic loci. Whole or subset of this genotyping dataset were used to perform genome-wide association studies with various phenotypes measured (i) on F1 hybrids obtained by crossing inbred lines from "Drops Panel" with a testor line (UH007) as in Millet et al., (2017, Plant Physio, 172:749-764), Alvarez Prado et al. (2017, Plant Cell Environ. 42(2):1-13), Negro et al., (2019, BMC genomics, 19:318), Blein-Nicolas et al., (2020, Genome Research), (ii) on inbred lines (Castelleti, Coupel-Ledru et al., 2020, Plos Genetics). Note that the missing data in genotyping dataset were imputed slightly differently in Negro et al., (2019) and Millet et al., (2017). Raw datasets are maintained in the ThaliaDB maize database (https://thalia.moulon.inra.fr)
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
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
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