Estadística. Tema 1: distribuciones de probabilidad discretas

T1. Distribuciones Discretas. Inferencia estadísticas. Variables aleatorias. Modelo de Bernoulli. Modelo de Distribución Binomial. Modelo de Distribución de Poisson.

Estadística. Tema 4: contrastes de bondad de ajuste de variables continuas (curso 2014-2015)

T4. Contrastes de Bondad de Ajuste para distribuciones continuas. Método Kolmogorov-Smirnov.

Estadística. Tema 5: contrastes para los parámetros de una población Normal (curso 2014-2015)

Tema 5. Contrastes para los parámetros de una población Normal.

Detection and mapping of burnt areas from time series of MODIS-derived NDVI data in a Mediterranean region

Moderate resolution remote sensing data, as provided by MODIS, can be used to detect and map active or past wildfires from daily records of suitable combinations of reflectance bands. The objective of the present work was to develop and test simple algorithms and variations for automatic or semiautomatic detection of burnt areas from time series data of MODIS biweekly vegetation indices for a Mediterranean region. MODIS-derived NDVI 250m time series data for the Valencia region, East Spain, were subjected to a two-step process for the detection of candidate burnt areas, and the results compared with available fire event records from the Valencia Regional Government. For each pixel and date in the data series, a model was fitted to both the previous and posterior time series data. Combining drops between two consecutive points and 1-year average drops, we used discrepancies or jumps between the pre and post models to identify seed pixels, and then delimitated fire scars for each potential wildfire using an extension algorithm from the seed pixels. The resulting maps of the detected burnt areas showed a very good agreement with the perimeters registered in the database of fire records used as reference. Overall accuracies and indices of agreement were very high, and omission and commission errors were similar or lower than in previous studies that used automatic or semiautomatic fire scar detection based on remote sensing. This supports the effectiveness of the method for detecting and mapping burnt areas in the Mediterranean region.

Estadística. Tema 6: contrastes para los parámetros de dos poblaciones Normales independientes (curso 2014-2015)

Tema 6. Contrastes para los parámetros de dos poblaciones normales Independientes

Estadística. Tema 7: contrastes para los parámetros de dos poblaciones Normales dependientes (curso 2014-2015)

Tema 7. Contrastes para la media de dos poblaciones normales Dependientes

A compact difference scheme for numerical solutions of second order dual-phase-lagging models of microscale heat transfer

Dual-phase-lagging (DPL) models constitute a family of non-Fourier models of heat conduction that allow for the presence of time lags in the heat flux and the temperature gradient. These lags may need to be considered when modeling microscale heat transfer, and thus DPL models have found application in the last years in a wide range of theoretical and technical heat transfer problems. Consequently, analytical solutions and methods for computing numerical approximations have been proposed for particular DPL models in different settings. In this work, a compact difference scheme for second order DPL models is developed, providing higher order precision than a previously proposed method. The scheme is shown to be unconditionally stable and convergent, and its accuracy is illustrated with numerical examples.

From community approaches to single-cell genomics: the discovery of ubiquitous hyperhalophilic Bacteroidetes generalists

The microbiota of multi-pond solar salterns around the world has been analyzed using a variety of culture-dependent and molecular techniques. However, studies addressing the dynamic nature of these systems are very scarce. Here we have characterized the temporal variation during 1 year of the microbiota of five ponds with increasing salinity (from 18% to >40%), by means of CARD-FISH and DGGE. Microbial community structure was statistically correlated with several environmental parameters, including ionic composition and meteorological factors, indicating that the microbial community was dynamic as specific phylotypes appeared only at certain times of the year. In addition to total salinity, microbial composition was strongly influenced by temperature and specific ionic composition. Remarkably, DGGE analyses unveiled the presence of most phylotypes previously detected in hypersaline systems using metagenomics and other molecular techniques, such as the very abundant Haloquadratum and Salinibacter representatives or the recently described low GC Actinobacteria and Nanohaloarchaeota. In addition, an uncultured group of Bacteroidetes was present along the whole range of salinity. Database searches indicated a previously unrecognized widespread distribution of this phylotype. Single-cell genome analysis of five members of this group suggested a set of metabolic characteristics that could provide competitive advantages in hypersaline environments, such as polymer degradation capabilities, the presence of retinal-binding light-activated proton pumps and arsenate reduction potential. In addition, the fairly high metagenomic fragment recruitment obtained for these single cells in both the intermediate and hypersaline ponds further confirm the DGGE data and point to the generalist lifestyle of this new Bacteroidetes group.

Molecular Techniques (2015-2016). Lesson 7

Powerpoint slides for Lesson 7.

Advanced Genetics (2015-2016). Units 1 to 4

Ppoint presentations of Units 1 to 4 corresponding to Advanced Genetics course.

Molecular Techniques (2015-2016). Lesson 8

Powerpoint slides for Lesson 8.

Molecular Techniques (2015-2016). Lesson 9

Powerpoint slides for Lesson 9.

Molecular Techniques (2015-2016). Lesson 10

Powerpoint slides for Lesson 10.

Molecular Techniques (2015-2016). Protocol for the Genetics Laboratory practices

Protocol for the Genetics Laboratory practices.

Molecular Techniques (2015-2016). Slides for the Genetics Laboratory practices introduction

Slides for the Genetics Laboratory practices introduction.