Results overview: Found 3 records in 0.02 seconds.
Articles, 3 records found
Articles 3 records found  
1.
13 p, 1.7 MB A measure of agreement across numerous conditions : Assessing when changes in network structures are tissue-specific / Cáceres, Alejandro (Centro de Investigacion Biomedica en Red en Epidemiologia y Salud Publica) ; González Ruiz, Juan Ramón (Universitat Autònoma de Barcelona. Departament de Matemàtiques)
Background: There is great interest to study how gene pathways change their structure across different tissues. The assessment of inter-study reliability of pathway changes across tissues can inform on the fraction of tissues with specific functional changes in network structure. [...]
2019 - 10.1186/s12864-018-5340-3
BMC genomics, Vol. 20 (January 2019) , art. 26  
2.
11 p, 3.5 MB Following the footprints of polymorphic inversions on SNP data : from detection to association tests / Cáceres, Alejandro (Centre de Recerca en Epidemiologia Ambiental) ; González, Juan R. (Universitat Autònoma de Barcelona. Departament de Matemàtiques)
Inversion polymorphisms have important phenotypic and evolutionary consequences in humans. Two different methodologies have been used to infer inversions from SNP dense data, enabling the use of large cohorts for their study. [...]
2015 - 10.1093/nar/gkv073
Nucleic acids research, Vol. 43, issue 8 (April 2015) , e53  
3.
16 p, 830.3 KB Identification of polymorphic inversions from genotypes / Cáceres, Alejandro (Centre de Recerca en Epidemiologia Ambiental) ; Sindi, Suzanne S. (Brown University. Center for Computational Molecular Biology (Providence, Estats Units d'Amèrica)) ; Raphael, Benjamin J. (Brown University. Center for Computational Molecular Biology (Providence, Estats Units d'Amèrica)) ; Cáceres Aguilar, Mario, dir. (Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí") ; González, Juan R. (Centre de Recerca en Epidemiologia Ambiental)
Background: Polymorphic inversions are a source of genetic variability with a direct impact on recombination frequencies. Given the difficulty of their experimental study, computational methods have been developed to infer their existence in a large number of individuals using genome-wide data of nucleotide variation. [...]
2012 - 10.1186/1471-2105-13-28
BMC bioinformatics, Vol. 13, N. 28 (February 2012) , p. 1-16
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