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Materias / palabras clave: Computer software; Development; Computer security; Data protection; Desarrollo de software; Seguridad informática; Protección de datos

Materias / palabras clave: Computer software; Development; Computer software industry; Software; Desarrollo; Industria del software

Materias / palabras clave: Computadoras; Computer software; Development; Computer software industry

Materias / palabras clave: Computer software; Development; Computer software industry; Colombia; Desarrollo de software; Industria de software

Materias / palabras clave: Computer software industry; Computer software; Development; Programa de ordenador; Industria

Materias / palabras clave: CMMI (Programa para computador); Software engineering; Computer software; Development; Capability maturity model (Computer software); Desarrollo de programas para computador; Desarrollo de software de aplicaciones; RUP (...

Materias / palabras clave: Agile software development; Electronic data processing; Management; Desarrollo de software ágil; Software; Desarrollo; Proyectos informáticos

Materias / palabras clave: Computers; Software development and engineering; Quality Assurance and Testing; Computadoras; Desarrollo e ingeniería de software; Aseguramiento de la Calidad y Pruebas

Propone uns definición de un proceso de desarrollo de software en un entorno universitario.

Materias / palabras clave: Computadoras; Ciencia de la computación; México; Computers; Computer science; Mexico; Desarrollo e ingeniería de software; Aseguramiento de la Calidad y Pruebas; Software development and engineering; quality assurance...

Materias / palabras clave: Computers; Programming; Software development; Computadoras; Programación; Desarrollo de software

Materias / palabras clave: Computers; Programming; Software development; Computadoras; Programación; Desarrollo de software

The Bioconductor project is an initiative for the collaborative creation of extensible software for computational biology and bioinformatics. The goals of the project include: fostering collaborative development and wide...

Materias / palabras clave: Biology; Suite; Software; Software suite; Scale (ratio); Software development; Sequence (biology); Computational biology; Data science; Bioinformatics; Computer science; Genetics

This note summarizes developments of the genepop software since its first description in 1995, and in particular those new to version 4.0: an extended input format, several estimators of neighbourhood size under isolatio...

Coot is a molecular-graphics application for model building and validation of biological macromolecules. The program displays electron-density maps and atomic models and allows model manipulations such as idealization, r...

UNLABELLED: The two main functions of bioinformatics are the organization and analysis of biological data using computational resources. Geneious Basic has been designed to be an easy-to-use and flexible desktop software...

With its theoretical basis firmly established in molecular evolutionary and population genetics, the comparative DNA and protein sequence analysis plays a central role in reconstructing the evolutionary histories of spec...

The CCP4 (Collaborative Computational Project, Number 4) software suite is a collection of programs and associated data and software libraries which can be used for macromolecular structure determination by X-ray crystal...

Structural equation modeling (SEM) is a vast field and widely used by many applied researchers in the social and behavioral sciences. Over the years, many software packages for structural equation modeling have been deve...

Macromolecular X-ray crystallography is routinely applied to understand biological processes at a molecular level. However, significant time and effort are still required to solve and complete many of these structures be...

An account is given of the development of the SHELX system of computer programs from SHELX-76 to the present day. In addition to identifying useful innovations that have come into general use through their implementation...

Abstract Motivation: Robust large-scale sequence analysis is a major challenge in modern genomic science, where biologists are frequently trying to characterize many millions of sequences. Here, we describe a new Java-ba...

MOTIVATION: A new protocol for sequencing the messenger RNA in a cell, known as RNA-Seq, generates millions of short sequence fragments in a single run. These fragments, or 'reads', can be used to measure levels of gene ...