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En la actualidad todos hemos escuchado del BIG DATA y lo relacionamos con empresas de alta tecnología de la información, multinacionales y empresas globales, rara vez lo relacionamos con nuestro quehacer diario y en pa...

UNLABELLED: Parallel heatmaps with carefully designed annotation graphics are powerful for efficient visualization of patterns and relationships among high dimensional genomic data. Here we present the ComplexHeatmap pac...

Materias / palabras clave: Computer science; Plug-in; Workflow; Software; Usability; Proteomics; Python (programming language); Data science; Data mining; Human–computer interaction; Programming language; Biology

"En esta tesis argumentamos que la información de trayectorias también puede ser integrada con datos GIS y OLAP, generando un marco poderoso de análisis". "In this thesis we argue that trajectory information can also ...

MOTIVATION: Fast and accurate quality control is essential for studies involving next-generation sequencing data. Whilst numerous tools exist to quantify QC metrics, there is no common approach to flexibly integrate thes...

Large datasets are increasingly common and are often difficult to interpret. Principal component analysis (PCA) is a technique for reducing the dimensionality of such datasets, increasing interpretability but at the same...

BACKGROUND: VSEARCH is an open source and free of charge multithreaded 64-bit tool for processing and preparing metagenomics, genomics and population genomics nucleotide sequence data. It is designed as an alternative to...

Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used widely by data scientists to achieve state-...