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  1. ...-in sequences reveals 16 major clusters among the 65,536 spike-ins. (D,E) Visualization of all spike-in RNAs, color-coded by GC-content cluster and by MFE cluster. The nine GC-content categories and 120 MFE levels reflect the full breadth of the 65,536 spike-in sequences.For validation, we designed synthetic...
  2. ..., understanding RNA dimerization has been hampered by the lack of systematic in vivo detection methods. Here, we show that CLASH, PARIS, and other RNA proximity ligation methods detect RNA homodimers transcriptome-wide as “overlapping” chimeric reads that contain more than one copy of the same sequence. Analyzing...
  3. ...in expectation under a random model we propose here. We implemented these ideas in an open-source tool called Cliffy that performs efficient taxonomic classification of sequencing reads with respect to a compressed taxonomic index. When applied to simulated 16S rRNA reads, Cliffy's read-level accuracy is higher...
  4. ...stage transition (258 in D0/D2, 36 in D2/D4, and 484 in D4/D30). A Fisher's exact test revealed 91 that DTA was not randomly distributed; instead, it was significantly overrepresented in protein-92 coding, retained intron, and lncRNA transcripts (P < 0.01). 93 To experimentally validate...
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  5. ...typically exhibit promoter regions in which nucleosomes have been evicted or shifted out to allow TFs to bind, as well as gene bodies in which nucleosomes have been disrupted by the passage of RNA polymerase (Jiang and Pugh 2009).We analyzed the features of chromatin structure that differed among...
  6. ...were generally stronger at the 2h chase than at the 6h chase period, and 201 that the grouping of cell lines based on RNA stability values for 17,049 genes, as 202 revealed by hierarchical clustering, largely differed between the two chase periods (Fig. 203 2A,B). 204 10 To assess whether turnover...
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  7. ...in which CV samples exhibited greater molecular variation compared with GF samples. Principal component analysis (PCA) based on both gene expression and RNA editing levels revealed that CV sampleswerewidely dispersed, whereas GF samples formed a tightly clustered group (Fig. 3A), suggesting greater...
  8. ...are rare, and thus this method allows determining the edited strand even for unstranded RNA-seq data: A-to-G clusters attest for editing on the positive strand, while T-to-C clusters (as observed when mapping the reads to the positive strand, i.e. the reference sequence) attest for editing of an RNA...
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  9. ...the Weisfeiler–Lehman scheme (WL) (Shervashidze et al. 2011). Our ablation studies reveal that (1) KBC is the best clustering algorithm compared with existing clustering algorithms, and (2) although the WL scheme is the second-best method in terms of the clustering performance compared with SpatialPCA (Shang...
  10. ...-read, short-read, and Hi-C DNA sequencing, alongside gene annotation and RNA sequencing. Comparative genomic analyses reveal significant variation in gene content and structure across Blastocystis. Notably, three strains from herbivorous tortoises, phylogenetically distant from human subtypes, have markedly...
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