{\rtf1\ansi\deff0\deftab360

{\fonttbl
{\f0\fswiss\fcharset0 Arial}
{\f1\froman\fcharset0 Times New Roman}
{\f2\fswiss\fcharset0 Verdana}
{\f3\froman\fcharset2 Symbol}
}

{\colortbl;
\red0\green0\blue0;
}

{\info
{\author Biblio 7.x}{\operator }{\title Biblio RTF Export}}

\f1\fs24
\paperw11907\paperh16839
\pgncont\pgndec\pgnstarts1\pgnrestart
Dopazo J, Amadoz A, Bleda M, et al. 267 Spanish exomes reveal population-specific differences in disease-related genetic variation. Molecular biology and evolution. 2016. doi:10.1093/molbev/msw005.\par \par Urreizti R, Roca-Ayats N, Trepat J, et al. Screening of CD96 and ASXL1 in 11 patients with Opitz C or Bohring-Opitz syndromes. Am J Med Genet A. 2016;170A(1):24-31. doi:10.1002/ajmg.a.37418.\par \par Hernansaiz-Ballesteros RD, Salavert F, Sebasti\'e1n-Leon P, Alem\'e1n A, Medina I, Dopazo J. Assessing the impact of mutations found in next generation sequencing data over human signaling pathways. Nucleic acids research. 2015;43:W270-W275. doi:10.1093/nar/gkv349.\par \par Alonso R, Salavert F, Garcia-Garcia F, et al. Babelomics 5.0: functional interpretation for new generations of genomic data. Nucleic acids research. 2015;43:W117-W121. doi:10.1093/nar/gkv384.\par \par Alem\'e1n A, Garcia-Garcia F, Medina I, Dopazo J. A web tool for the design and management of panels of genes for targeted enrichment and massive sequencing for clinical applications. Nucleic acids research. 2014;42:W83-W87. doi:10.1093/nar/gku472.\par \par Alem\'e1n A, Garcia-Garcia F, Salavert F, Medina I, Dopazo J. A web-based interactive framework to assist in the prioritization of disease candidate genes in whole-exome sequencing studies. Nucleic acids research. 2014;42:W88-W93. doi:10.1093/nar/gku407.\par \par }