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Iwtomics Etn Example

Authors: Cremona, Marzia Angela; Cumbo, Fabio;

Iwtomics Etn Example

Abstract

This example contains two region datasets "ETn fixed", "Control" and one feature "Recombination hotspots content". In particular, the region dataset "ETn fixed" contains 1296 genomic regions of 64 kb surrounding fixed ETns elements (32-kb flanking sequences upstream and 32-kb flanking sequences downstream of each element). The region dataset "Control" contains 1142 regions of 64 kb without elements, used as control in the test. The regions are aligned around their center (i.e. around the ETn integration sites). Recombination hotspots measurements are associated to each "ETn fixed" and "Control" region. In particular, this feature is measured in 1-kb windows, so that each region is associated to a recombination hotspots curve made of 64 values. The measurement used is the feature content, i.e. the fraction of the 1-kb window that is covered by recombination hotspots Data have been collected and pre-processed by: R Campos-Sanchez, MA Cremona, A Pini, F Chiaromonte and KD Makova (2016). Integration and fixation preferences of human and mouse endogenous retroviruses uncovered with Functional Data Analysis. PLoS Computational Biology. 12(6): 1-41. Fixed ETn positions come from: Y Zhang, IA Maksakova, L Gagnier, LN van de Lagemaat, DL Mager (2008). Genome-wide assessments reveal extremely high levels of polymorphism of two active families of mouse endogenous retroviral elements. PLoS Genetics. 4: e1000007. Recombination hotspots data come from: H Brunschwig, L Levi, E Ben-David, RW Williams, B Yakir, S Shifman (2012). Fine-scale maps of recombination rates and hotspots in the mouse genome. Genetics. 191: 757-764.

{"references": ["Cremona, M. A., Pini, A., Cumbo, F., Makova, K. D., Chiaromonte, F., & Vantini, S. (2018). IWTomics: testing high-resolution sequence-based 'Omics' data at multiple locations and scales. Bioinformatics, 1, 3."]}

Related Organizations
Keywords

statistics, genomics, iwtomics

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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