1,721,027 research outputs found
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Development of an online genome sequence annotation pipeline
Advances in DNA sequencing technology have significantly reduced the costs associated with sequencing an organism's genome. This has led to greater numbers of plant genomes being sequenced. Once sequenced and re-assembled, these genome sequences are annotated to identify genes and other important sequence features. Annotation usually involves computational analysis by a bioinformaticist followed by manual (biologist) curation of the predicted genes. While there are many standalone (command line) pipelines available and many individual web based tools available for annotation, there are no one-stop web sites where the biologist can access several gene prediction tools and have the integrated and optimized results returned to them for manual curation. Several fruit genomes are currently being sequenced (apple, peach, strawberry, citrus and cacao) and the annotations will be made available via the tree fruit genome databases housed at Washington State University. This project focuses on implementing a framework of web-based gene prediction and comparative sequence similarity applications that performs automated sequence annotation including gene structure and function predictions, and enable user based manipulation of the results via the application GenSAS, the Genome Sequence Annotation Server
Going Beyond Counting First Authors in Author Co-citation Analysis
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
Development and validation of breeder-friendly KASPar markers for er1, a powdery mildew resistance gene in pea (Pisum sativum L.)
Powdery mildew of pea is caused by Erysiphe pisi DC and is a serious threat to pea (Pisum sativum L.) production throughout much of the world. Development and utilization of genetic resistance to powdery mildew is considered an effective and sustainable strategy to manage this disease. One gene, er1, conferring powdery mildew resistance, was previously cloned and sequenced, and the functional markers for each resistance allele were reported. Allele-specific DNA markers are efficient and powerful tools to facilitate crop improvement and new cultivar development in breeding programs. However, extensive application of these markers is limited by gel-associated obstacles. In this study, eight breeder-friendly kompetitive allele-specific PCR (KASPar) markers were developed to overcome the problems of gel-based markers and increase the efficiency of genotypic screening. In order to identify additional pea germplasm with powdery mildew resistance, these KASPar markers were deployed and used to genotype a pea collection derived from the USDA pea single-plant (PSP) collection. Simultaneously, a phenotypic screening and a genotypic validation using the corresponding gel-based functional markers were conducted on the PSP collection. One pea accession, PI 142775, was identified by both phenotyping and genotyping to carry the allele er1-1 for powdery mildew resistance, indicating that the KASPar assay is an efficient and robust tool for breeding for powdery mildew resistance
Variations on the Author
“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
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
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
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Enabling marker-assisted breeding in pea
Marker-assisted breeding (MAB), which involves the use of DNA markers to more efficiently predict trait performance is now widely used in crop breeding. Pea, the plant used by Gregor Mendel to illuminate the principle of genetics, lags behind other more economically important crops in terms of available molecular genomics and genetics resources, hindering the application of MAB. This study focuses on enhancing our understanding of economically important traits associated with stringlessness, high levels of mineral nutrients and powdery mildew resistance in pea by identifying trait-associated loci and/or predictive DNA markers to enable efficient and precise MAB.For the stringless pod phenotype, two sequence characterized amplified region (SCAR) markers with a predictive accuracy of 85% were identified through targeted region and amplification technology (TRAP). For the seed mineral study, using a genotyping by sequencing approach, genome-wide single nucleotide polymorphism (SNP) markers and a high-density linkage map were established for seed mineral concentration and content, as well as 100-seed weight. Forty six seed mineral concentration quantitative trait loci (QTLs) and thirty seven seed mineral content QTLs for boron, calcium, iron, potassium, magnesium, manganese, molybdenum, phosphorous, sulfur, and zinc, and six 100-seed weight QTLs were identified. The QTLs explained from 2.4% to 43.3% of the phenotypic variance. Comparative maps between pea and closely related legumes showed syntenic regions that can be utilized for identifying candidate markers and beneficial alleles to improve mineral nutrient levels. For powdery mildew resistance, four breeder-friendly kompetitive allele specific PCR (KASPar) markers were developed. The genotyping results of the four markers were validated on a pea core collection, exactly matching the genotyping results from the corresponding functional markers. One pea germplasm accession potentially carrying a new powdery mildew resistance allele was successfully detected. Overall, the trait-associated DNA markers developed in this study have potential for use in MAB to enable improvement of selection efficiency in pea breeding programs
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We 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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