Searching journal content for articles similar to Chen et al. 17 (5): 659.

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  1. ...the whole cohort. (A) Comparison of overall variant counts, separated by variant type (SNV, indel, or mixed, i.e., both) between variant calls from the different assemblies. (B) Overall numbers of variants by predicted impact in the whole call set as determined by SnpEff for each assembly. Variants...
  2. ...units can have important biological implications. Although EquiRep is applicable in such contexts, its current inability to automatically detect and resolve multiple repeat regions within a sequence introduces challenges for practical use. We will carefully take these factors into account as we continue...
  3. ...within self-aligned regions were excluded. Third, remaining markers were filtered with the following criteria “‐‐remove-indels ‐‐mac 1 ‐‐min-alleles 2 ‐‐max-alleles 2 ‐‐minGQ 30 ‐‐minQ 300 ‐‐maxDP 80” using VCFtools 0.1.15 (Danecek et al. 2011). Fourth, we discarded SNP markers coinciding with SNP...
  4. ...: bbaa148. doi:10.1093/bib/bbaa148 ↵Poplin R, Chang PC, Alexander D, Schwartz S, Colthurst T, Ku A, Newburger D, Dijamco J, Nguyen N, Afshar PT, et al. 2018. A universal SNP and small-indel variant caller using deep neural networks. Nat Biotechnol 36: 983–987. doi:10.1038/nbt.4235 ↵Rajagopalan R, Murrell...
  5. ...Phred ( Stephens et al. 2006 ), and PolyScan ( Chen et al. 2007 ), has been developed to examine chromatogram files to detect heterozygous polymorphisms. New DNA sequencing technologies, which have recently been developed and implemented, such as the Illumina Genome Analyzer (GA), Roche/454 FLX system, and AB SOLi...
  6. ...GeneMark-ETP significantly improves the accuracy of automatic annotation of large eukaryotic s Tomáš Brůna1,4,5, Alexandre Lomsadze2,4 and Mark Borodovsky1,2,3 1School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, USA; 2Wallace H. Coulter Department of Biomedical...
  7. ...in Healthcare, Johns Hopkins University, Baltimore, Maryland 21218, USA Corresponding author: shicks19@jhu.eduAbstractRecent advances in spatially resolved single-omic and multi-omics technologies have led to the emergence of computational tools to detect and predict spatial domains. Additionally, histological...
  8. ...of the strands to identify cytosine methylation while retaining the original four-bases sequence information on the other strand. As both strands are locked together to link the dual readouts on a single paired-end read, Methyl-SNP-seq allows detecting the methylation status of any DNA even without a reference...
  9. ...technologies has yielded substantial spatial transcriptomics data. Deriving biological insights from these data poses nontrivial computational and analysis challenges, of which the most fundamental step is spatial domain detection (or spatial clustering). Although a number of tools for spatial domain detection...
  10. ...determination. Therefore, integrated analysis of stripes with genomic and epigenomic features at a -wide scale shows vast potential in understanding the cooperation between regulatory elements in 3D nucleome. To this end, we present Quagga, a computational tool for detection and statistical verification...
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