Driven progressive evolution of genome sequence complexity in Cyanobacteria

Autor: Luis Delaye, Francisco M. González, Rebeca de la Fuente, Ramón Román-Roldán, Amparo Latorre, Miguel Verdú, Vicente Arnau, Cristina Gómez-Martín, Wladimiro Díaz, Pedro Bernaola-Galván, José L. Oliver, Andrés Moya, Ricardo Lebrón

Publikováno v: Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-14 (2020)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Digibug. Repositorio Institucional de la Universidad de Granada
Digibug: Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)

Progressive evolution, or the tendency towards increasing complexity, is a controversial issue in biology, which resolution entails a proper measurement of complexity. Genomes are the best entities to address this challenge, as they encode the histor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fc92e507452eaf3acde91d9d6169326
http://europepmc.org/articles/PMC7643063

Semi-hidden Markov models for generation and analysis of sequences

Autor: Juan Francisco Gómez-Lopera, R. Román-Gálvez, José Martínez-Aroza, Ramón Román-Roldán

Publikováno v: Mathematics and Computers in Simulation. 118:320-328

In this work a new kind of stochastic model is presented, the semi-hidden Markov model (SHMM). The proposed model is related to the hidden Markov model (HMM), and it is called semi-hidden because generated sequences need less information than HMM seq

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5ace473e52be4ce08723af5fa44b863e
https://doi.org/10.1016/j.matcom.2014.11.009

Study of statistical correlations in DNA sequences

Autor: José L. Oliver, Ramón Román-Roldán, Pedro Bernaola-Galván, Pedro Carpena

Publikováno v: Gene. 300:105-115

Here we present a study of statistical correlations among different positions in DNA sequences and their implications by directly using the autocorrelation function. Such an analysis is possible now because of the availability of large sequences or e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4618c1374cf4e161714031e272877d23
https://doi.org/10.1016/s0378-1119(02)01037-5

Finding Borders between Coding and Noncoding DNA Regions by an Entropic Segmentation Method

Autor: Pedro Bernaola-Galván, Pedro Carpena, H. Eugene Stanley, Ivo Grosse, José L. Oliver, Ramón Román-Roldán

Publikováno v: Physical Review Letters. 85:1342-1345

We present a new computational approach to finding borders between coding and noncoding DNA. This approach has two features: (i) DNA sequences are described by a 12-letter alphabet that captures the differential base composition at each codon positio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6abbd7923f619145dadbd2b50e3f727
https://doi.org/10.1103/physrevlett.85.1342

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Autor: Abdessamad Ben Hamza, Ramón Román-Roldán, Pedro L. Luque-Escamilla, José Martínez-Aroza

Publikováno v: Journal of Mathematical Imaging and Vision. 11:161-177

In this paper, a median based filter called relaxed median filter is proposed. The filter is obtained by relaxing the order statistic for pixel substitution. Noise attenuation properties as well as edge and line preservation are analyzed statisticall

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0fdbaf4676bdb3fb7b504b9bd32f7d1b
https://doi.org/10.1023/a:1008395514426