Survey of scientific programming techniques for the management of data-intensive engineering environments

The present paper introduces and reviews existing technology and research works in the field of scientific programming methods and techniques in data-intensive engineering environments. More specifically, this survey aims to collect those relevant approaches that have faced the challenge of delivering more advanced and intelligent methods taking advantage of the existing large datasets. Although existing tools and techniques have demonstrated their ability to manage complex engineering processes for the development and operation of safety-critical systems, there is an emerging need to know how existing computational science methods will behave to manage large amounts of data. That is why, authors review both existing open issues in the context of engineering with special focus on scientific programming techniques and hybrid approaches. 1193 journal papers have been found as the representative in these areas screening 935 to finally make a full review of 122. Afterwards, a comprehensive mapping between techniques and engineering and nonengineering domains has been conducted to classify and perform a meta-analysis of the current state of the art. As the main result of this work, a set of 10 challenges for future data-intensive engineering environments have been outlined.The current work has been partially supported by the Research Agreement between the RTVE (the Spanish Radio and Television Corporation) and the UC3M to boost research in the field of Big Data, Linked Data, Complex Network Analysis, and Natural Language. It has also received the support of the Tecnologico Nacional de Mexico (TECNM), National Council of Science and Technology (CONACYT), and the Public Education Secretary (SEP) through PRODEP

Earliest holozoan expansion of phosphotyrosine signaling

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.Phosphotyrosine (pTyr) signaling is involved in development and maintenance of metazoans' multicellular body through cell-to-cell communication. Tyrosine kinases (TKs), tyrosine phosphatases, and other proteins relaying the signal compose the cascade. Domain architectures of the pTyr signaling proteins are diverse in metazoans, reflecting their complex intercellular communication. Previous studies had shown that the metazoan-type TKs, as well as other pTyr signaling proteins, were already diversified in the common ancestor of metazoans, choanoflagellates, and filastereans (which are together included in the clade Holozoa) whereas they are absent in fungi and other nonholozoan lineages. However, the earliest-branching holozoans Ichthyosporea and Corallochytrea, as well as the two fungi-related amoebae Fonticula and Nuclearia, have not been studied. Here, we analyze the complete genome sequences of two ichthyosporeans and Fonticula, and RNAseq data of three additional ichthyosporeans, one corallochytrean, and Nuclearia. Both the ichthyosporean and corallochytrean genomes encode a large variety of receptor TKs (RTKs) and cytoplasmic TKs (CTKs), as well as other pTyr signaling components showing highly complex domain architectures. However, Nuclearia and Fonticula have no TK, and show much less diversity in other pTyr signaling components. The CTK repertoires of both Ichthyosporea and Corallochytrea are similar to those of Metazoa, Choanoflagellida, and Filasterea, but the RTK sets are totally different from each other. The complex pTyr signaling equipped with positive/negative feedback mechanism likely emerged already at an early stage of holozoan evolution, yet keeping a high evolutionary plasticity in extracellular signal reception until the co-option of the system for cell-to-cell communication in metazoans. © 2013 The Author 2013. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved.This work was supported by the European Research Council Starting grant ERC-2007-StG-206883 to I.R.-T; Ministerio de Ciencia e Innovación grant BFU2008-02839/BMC to I.R.-T.; and the Marie Curie Intra-European Fellowship (MMEMA) within the 7th European Community Framework Programme to H.S.Peer Reviewe