987 resultados para Genomic library


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This presentation was offered as part of the CUNY Library Assessment Conference, Reinventing Libraries: Reinventing Assessment, held at the City University of New York in June 2014.

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This presentation was offered as part of the CUNY Library Assessment Conference, Reinventing Libraries: Reinventing Assessment, held at the City University of New York in June 2014.

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This presentation was offered as part of the CUNY Library Assessment Conference, Reinventing Libraries: Reinventing Assessment, held at the City University of New York in June 2014.

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This photograph shows several empty tables and a few shelves in the library at the New York Trade School. Black and white photograph.

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This is a view of the library at the New York Trade School, which was taken at a slightly different time than Photo73 as shown by the different wall hangings, namely the addition of a stuffed deer on the wall. Photograph is black and white and slightly fading.

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Abstract At Ångström Laboratory, one of the largest campuses at Uppsala University, the Library and the Student Services Office merged in November 2012. This merger is a pilot project to improve service for students and faculty. Ångström Laboratory has around 900 staff and almost 10,000 students, of whom most also spend time at other campuses. In this paper we describe the background and the implementation of the pilot project. One of the main reasons for moving together was the wish to gather together all kinds of student services, including the distribution of written examinations in one place. The central location and open environment of the Library made it a good choice. The heart of the Library and Student Services is an open office consisting of two service desks located in the library area. There are silent study areas; computers for searching and printing, an area for relaxing with newspapers and journals, meeting rooms and offices for the staff. The result is a lively place with a cosy atmosphere. As the Library and the Student Services still belong to different parts of the University we are now starting to find out how best to collaborate. To understand more we log all the questions we get and the services we deliver. We also have meetings together and use the same lunch room to get to know each other and our different functions. We will define which matters can be solved in common, and how we can back each other up when necessary.

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This thesis develops and evaluates statistical methods for different types of genetic analyses, including quantitative trait loci (QTL) analysis, genome-wide association study (GWAS), and genomic evaluation. The main contribution of the thesis is to provide novel insights in modeling genetic variance, especially via random effects models. In variance component QTL analysis, a full likelihood model accounting for uncertainty in the identity-by-descent (IBD) matrix was developed. It was found to be able to correctly adjust the bias in genetic variance component estimation and gain power in QTL mapping in terms of precision.  Double hierarchical generalized linear models, and a non-iterative simplified version, were implemented and applied to fit data of an entire genome. These whole genome models were shown to have good performance in both QTL mapping and genomic prediction. A re-analysis of a publicly available GWAS data set identified significant loci in Arabidopsis that control phenotypic variance instead of mean, which validated the idea of variance-controlling genes.  The works in the thesis are accompanied by R packages available online, including a general statistical tool for fitting random effects models (hglm), an efficient generalized ridge regression for high-dimensional data (bigRR), a double-layer mixed model for genomic data analysis (iQTL), a stochastic IBD matrix calculator (MCIBD), a computational interface for QTL mapping (qtl.outbred), and a GWAS analysis tool for mapping variance-controlling loci (vGWAS).

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Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated ∼2,000, ∼3,700 and ∼9,500 SNPs explained ∼21%, ∼24% and ∼29% of phenotypic variance. Furthermore, all common variants together captured 60% of heritability. The 697 variants clustered in 423 loci were enriched for genes, pathways and tissue types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/β-catenin and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.2014

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This report describes the ideas and vision behind Dalarna University's award-winning library in Falun. A description of the planning and construction processes and an evaluation of the final outcome are presented together with experiences and observations drawn from the project.