Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Jorge González-Domínguez"'
Autor:
Marleen Balvert, Johnathan Cooper-Knock, Julian Stamp, Ross P. Byrne, Soufiane Mourragui, Juami van Gils, Stefania Benonisdottir, Johannes Schlüter, Kevin Kenna, Sanne Abeln, Alfredo Iacoangeli, Joséphine T. Daub, Brian L. Browning, Gizem Taş, Jiajing Hu, Yan Wang, Elham Alhathli, Calum Harvey, Luna Pianesi, Sara C. Schulte, Jorge González-Domínguez, Erik Garrisson, Lorentz workshop on epistasis, Michael P. Snyder, Alexander Schönhuth, Letitia M. F. Sng, Natalie A. Twine
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-17 (2024)
Abstract Epistasis refers to changes in the effect on phenotype of a unit of genetic information, such as a single nucleotide polymorphism or a gene, dependent on the context of other genetic units. Such interactions are both biologically plausible a
Externí odkaz:
https://doaj.org/article/b474a576126e4691988acae1b1be2c19
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-13 (2022)
Abstract Background Epistasis is the interaction between different genes when expressing a certain phenotype. If epistasis involves more than two loci it is called high-order epistasis. High-order epistasis is an area under active research because it
Externí odkaz:
https://doaj.org/article/323e0fbef66b4fa688e684c1b4cba96d
Autor:
Christian Ponte-Fernández, Jorge González-Domínguez, Antonio Carvajal-Rodríguez, María J. Martín
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-9 (2020)
Abstract Background Epistasis is defined as the interaction between different genes when expressing a specific phenotype. The most common way to characterize an epistatic relationship is using a penetrance table, which contains the probability of exp
Externí odkaz:
https://doaj.org/article/ec4b01295cb0486e996369d44844b8a7
Publikováno v:
Proceedings, Vol 54, Iss 1, p 54 (2020)
Feature selection is a subfield of data analysis that is on reducing the dimensionality of datasets, so that subsequent analyses over them can be performed in affordable execution times while keeping the same results. Joint Mutual Information (JMI) i
Externí odkaz:
https://doaj.org/article/9fabd93de22948488a6130f343de807b
Publikováno v:
PLoS ONE, Vol 13, Iss 4, p e0194361 (2018)
Biclustering techniques are gaining attention in the analysis of large-scale datasets as they identify two-dimensional submatrices where both rows and columns are correlated. In this work we present ParBiBit, a parallel tool to accelerate the search
Externí odkaz:
https://doaj.org/article/1714e89c58814575848655ae40709b2e
Publikováno v:
PLoS ONE, Vol 13, Iss 7, p e0201483 (2018)
Nowadays, the analysis of transcriptome sequencing (RNA-seq) data has become the standard method for quantifying the levels of gene expression. In RNA-seq experiments, the mapping of short reads to a reference genome or transcriptome is considered a
Externí odkaz:
https://doaj.org/article/2006264f05d2453eae26776540d22892
Publikováno v:
Proceedings, Vol 21, Iss 1, p 25 (2019)
Gene regulatory networks are graphical representations of molecular regulators that interact with each other and with other substances in the cell to govern the gene expression. There are different computational approaches for the reverse engineering
Externí odkaz:
https://doaj.org/article/44ab7eb8fc5841e585587c10ae5d3bb1
Publikováno v:
PLoS ONE, Vol 11, Iss 1, p e0145490 (2016)
The growth of next-generation sequencing (NGS) datasets poses a challenge to the alignment of reads to reference genomes in terms of alignment quality and execution speed. Some available aligners have been shown to obtain high quality mappings at the
Externí odkaz:
https://doaj.org/article/c003a9481ad1490a84a29cbe1c8991b8
Publikováno v:
Bioinformatics. 39
Motivation Long non-coding RNA (lncRNA) plays a key role in many biological processes. For instance, lncRNA regulates chromatin using different molecular mechanisms, including direct RNA–DNA hybridization via triplexes, cotranscriptional RNA–RNA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0ada7143764a59589830393cb18d142
https://doi.org/10.1093/bioinformatics/btad134
https://doi.org/10.1093/bioinformatics/btad134
Publikováno v:
The Journal of Supercomputing. 78:15338-15357
Epistasis can be defined as the statistical interaction of genes during the expression of a phenotype. It is believed that it plays a fundamental role in gene expression, as individual genetic variants have reported a very small increase in disease r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8275fd4204be81756ed2ae6dd502f9fb
https://doi.org/10.1007/s11227-022-04477-5
https://doi.org/10.1007/s11227-022-04477-5