Export 463 results:
Author Title Type [ Year
Filters: First Letter Of Last Name is S [Clear All Filters]
Whole-exome sequencing identifies novel compound heterozygous mutations in USH2A in Spanish patients with autosomal recessive retinitis pigmentosa. Molecular vision. 2013;19:2187-95. Available at: http://www.molvis.org/molvis/v19/2187/.
Acceleration of short and long DNA read mapping without loss of accuracy using suffix array. Bioinformatics (Oxford, England). 2014;30:3396-3398. doi:10.1093/bioinformatics/btu553.
Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures. Nature communications. 2014;5:5125. doi:10.1038/ncomms6125.
Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures. Nature communications. 2014;5:5125. doi:10.1038/ncomms6125.
Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures. Nature communications. 2014;5:5125. doi:10.1038/ncomms6125.
Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures. Nature communications. 2014;5:5125. doi:10.1038/ncomms6125.
Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures. Nature communications. 2014;5:5125. doi:10.1038/ncomms6125.
Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures. Nature communications. 2014;5:5125. doi:10.1038/ncomms6125.
Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures. Nature communications. 2014;5:5125. doi:10.1038/ncomms6125.
Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures. Nature communications. 2014;5:5125. doi:10.1038/ncomms6125.
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium. Nature biotechnology. 2014;32:903–914. doi:10.1038/nbt.2957.
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium. Nature biotechnology. 2014;32:903–914. doi:10.1038/nbt.2957.
A Comprehensive DNA Methylation Profile of Epithelial-to-Mesenchymal Transition. Cancer research. 2014;74:5608–19. doi:10.1158/0008-5472.CAN-13-3659.
A Comprehensive DNA Methylation Profile of Epithelial-to-Mesenchymal Transition. Cancer research. 2014;74:5608–19. doi:10.1158/0008-5472.CAN-13-3659.
A Comprehensive DNA Methylation Profile of Epithelial-to-Mesenchymal Transition. Cancer research. 2014;74:5608–19. doi:10.1158/0008-5472.CAN-13-3659.
Deciphering intrafamilial phenotypic variability by exome sequencing in a Bardet–Biedl family. Molecular Genetics & Genomic Medicine. 2014;2:124-133. doi:10.1002/mgg3.50.
Deciphering intrafamilial phenotypic variability by exome sequencing in a Bardet-Biedl family. Mol Genet Genomic Med. 2014;2(2):124-33. doi:10.1002/mgg3.50.
A New Overgrowth Syndrome is Due to Mutations in RNF125. Human mutation. 2014;35:1436–1441. doi:10.1002/humu.22689.
A New Overgrowth Syndrome is Due to Mutations in RNF125. Human mutation. 2014;35:1436–1441. doi:10.1002/humu.22689.
ngsCAT: a tool to assess the efficiency of targeted enrichment sequencing. Bioinformatics. 2014;30(12):1767-8. doi:10.1093/bioinformatics/btu108.
. The role of the interactome in the maintenance of deleterious variability in human populations. Mol Syst Biol. 2014;10:752. doi:10.15252/msb.20145222.
Two novel mutations in the BCKDK (branched-chain keto-acid dehydrogenase kinase) gene are responsible for a neurobehavioral deficit in two pediatric unrelated patients. Hum Mutat. 2014;35(4):470-7. doi:10.1002/humu.22513.
Understanding disease mechanisms with models of signaling pathway activities. BMC systems biology. 2014;8:121. doi:10.1186/s12918-014-0121-3.
Understanding disease mechanisms with models of signaling pathway activities. BMC systems biology. 2014;8:121. doi:10.1186/s12918-014-0121-3.
Understanding disease mechanisms with models of signaling pathway activities. BMC systems biology. 2014;8:121. doi:10.1186/s12918-014-0121-3.