RAMOS-ONSINS Sebastian Ernesto

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  • Statistical and Population Genomics, Centre for Research in Agricultural Genomics (CRAG) Consorci CSIC-IRTA-UAB-UB, Bellaterra (Barcelona), Spain
  • Adaptation, Bioinformatics & Computational Biology, Genome Evolution, Molecular Evolution, Population Genetics / Genomics
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PhD at Universitat de Barcelona. Montserrat Aguade as supervisor Short PostDoc stay at Human Genetics Centre at Houston with Weng-Hsiung Li PostDoc stay at Universitat de Barcelona with Julio Rozas - Montse Aguadé PostDoc stay at Max-Planck Institute of Chemical Ecology with Tom Mitchell-Olds Assistant Professor at Universitat de Barcelona Ramon y Cajal Position at CRAG

1 recommendation

2018-05-18
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Modularity of genes involved in local adaptation to climate despite physical linkage
Katie E. Lotterhos, Sam Yeaman, Jon Degner, Sally Aitken, Kathryn Hodgins
10.1101/202481

Recommended by Sebastian Ernesto Ramos-Onsins based on reviews by Tanja PyhÀjÀrvi and 1 anonymous reviewer
Differential effect of genes in diverse environments, their role in local adaptation and the interference between genes that are physically linked

The genome of eukaryotic species is a complex structure that experience many different interactions within itself and with the surrounding environment. The genetic architecture of a phenotype (that is, the set of genetic elements affecting a trait of the organism) plays a fundamental role in understanding the adaptation process of a species to, for example, different climate environments, or to its interaction with other species. Thus, it is fundamental to study the different aspects of the gene...

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2020-01-23
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A novel workflow to improve multi-locus genotyping of wildlife species: an experimental set-up with a known model system
Gillingham, Mark A. F., Montero, B. Karina, Wilhelm, Kerstin, Grudzus, Kara, Sommer, Simone and Santos, Pablo S. C.
10.1101/638288

Recommended by François Rousset based on reviews by Thomas Bigot, Sebastian Ernesto Ramos-Onsins and Helena Westerdahl
Improving the reliability of genotyping of multigene families in non-model organisms

The reliability of published scientific papers has been the topic of much recent discussion, notably in the biomedical sciences [1]. Although small sample size is regularly pointed as one of the culprits, big data can also be a concern. The advent of high-throughput sequencing, and the processing of sequence data by opaque bioinformatics workflows, mean that sequences with often high error rates are produced, and that exact but slow analyses are not feasible.
The troubles with bioinformatics ...

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