Searching journal content for articles similar to Cahill et al. 13 (5): 925.

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  1. ...: padamopoulos@biol.uoa.grAbstractEpitranscriptomics, a rapidly evolving field mainly driven by massive parallel sequencing technologies, explores post-transcriptional RNA modifications. N6-methyladenosine (m6A) has emerged as the most prominent and dynamically regulated modification in human mRNAs, being...
  2. ...epithelial-to-mesenchymal transition. Overall, ANS provides a robust and reliable gene signature scoring framework, significantly improving the accuracy of score-based annotation of cell types and states in single-cell studies.High-throughput single-cell RNA sequencing (scRNA-seq) is a powerful technology...
  3. ...base modification information, we developed Methyl-SNP-seq, a technology that takes advantage of the complementarity of the double helix to extract the methylation and original sequence information from a single DNA molecule. More specifically, Methyl-SNP-seq uses bisulfite conversion of one...
  4. ...Versatile and robust editing with Streptococcus thermophilus CRISPR1-Cas9 Daniel Agudelo1, Sophie Carter1, Minja Velimirovic1, Alexis Duringer1, Jean-François Rivest1, Sébastien Levesque1, Jeremy Loehr1, Mathilde Mouchiroud2, Denis Cyr3, Paula J. Waters3, Mathieu Laplante2,4, Sylvain Moineau5...
  5. ..., USA; 23Cell & Gene Therapy, Bioverativ Inc., Waltham, MA 02451 Corresponding author: gcalin@mdanderson.orgAbstractThe cancer-risk-associated rs6983267 single nucleotide polymorphism (SNP) and the accompanying long noncoding RNA CCAT2 in the highly amplified 8q24.21 region have been implicated...
  6. ...genotype were scored for MAF bins of 0.01 separately for the LD and 50,000 array data. We simulated genotyping-by-sequencing of tank milk as follows. For each of the 8 M SNP positions, we sampled local read depth (r ∈ integers) from a Poisson distribution with mean C, where C is the average -wide coverage...
  7. ...Long-read sequencing technology indicates -wide effects of non-B DNA on polymerization speed and error rate Wilfried M. Guiblet1,8, Marzia A. Cremona2,8, Monika Cechova3, Robert S. Harris3, Iva Kejnovská4, Eduard Kejnovsky5, Kristin Eckert6, Francesca Chiaromonte2,7 and Kateryna D. Makova3 1...
  8. ..., St. Petersburg, Russia 198515; 3Department of Computer Science and Engineering, University of California, San Diego, California 92093-0404, USA While metagenomics has emerged as a technology of choice for analyzing bacterial populations, the assembly of metagenomic data remains challenging, thus...
  9. ..., this technology has been primarily used to generate genetic knockout animals. Nevertheless, the study of the function of certain loci might require tight spatiotemporal control of gene inactivation. Here, we show that tissue-specific gene disruption can be achieved by driving Cas9 expression with the Gal4/UAS...
  10. ...), both for data sets typed on genotyping arrays (;106 SNPs) and sequencing technologies (;107 SNVs). Somemethods address this problem by restricting the analysis to a small subset of candidate markers—those identified through single-locus analysis or those of biological interest (Emily et al. 2009...
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