Searching journal content for articles similar to Rivolta et al. 12 (7): 1091.

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  1. ...on GRCm38 [mm10] release-89 annotation).For the TSRexploreR analysis, a 5′ tag threshold of 3 was used. DESeq2 median-of-ratios approach was used for normalization. For mammalian TSS analysis, the 5′-most tags were grouped into transcript start regions using a maximum distance of 25 bp and a maximum total...
  2. ...correlations are light gray. (C) Distribution of functional categories in genes split by VGH decile. Some functional categories like transcription- and translation-associated genes were enriched for small VGH estimates, and others, like receptors, were enriched for high VGH estimates. (D) Correlation of gene...
  3. ...-quality nuclei with transcription start site enrichment (TSSe) ≥ 10 and uniquely mapped fragments ≥1000 using the function filter_cells in SnapATAC2. Doublets were removed using a modified version of the Scrublet (Wolock et al. 2019) algorithm in SnapATAC2. Briefly, we first added the 500-bp genomic bin features...
  4. .... The fundamental tasks are to classify or group sequencing reads into distinct genomic bins, each representing a different taxon (e.g., species or strain) within a metagenomic sample (taxonomic binning), and to identify the taxa present while estimating their relative abundances in the sample (taxonomic profiling...
  5. ...remarkable versatility in their ability to create new transcripts or genes 66 through exonization, while also modulating gene expression through strategic placement of 67 enhancers or promoters near genes (Guillaume et al. 2018; Sophie and Gaël 2020). Current 68 studies reveals important functional aspects...
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  6. ...shared peaks. (C,D) Scatterplots of read counts (log2) on shared peaks, IGV (Robinson et al. 2011) tracks, and heatmaps of ±5 kb from the center of transcription start sites (TSSs) or peaks showing the automated ChIP-seq results of H3K27ac (C) and H3K27me3 (D) for evaluating cross-linking conditions, DSG...
  7. ...are the gold standard for high-throughput transcriptome profiling (Wang et al. 2009). RNA-sequencing (RNA-seq) has been used to investigate gene expression (The ENCODE Project Consortium 2012), canonical and alternative mRNA splicing (Wright et al. 2022a), noncoding RNAs, and post-transcriptional modifications...
  8. ...group from S-adenosyl-l-methionine to cytosine. Importantly, due to the palindromic nature of the CG dinucleotide, CG methylation can be retained after DNA replication by methylation of hemimethylated (i.e., one-strand methylated) DNA. While most mammalian cells exhibit only CG methylation, neurons...
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  9. ...the SCpubr R package to visualize marker expressions and clusters (Blanco-Carmona 2022). Genes expressing ccRCC-specific novel transcripts in ccRCC cells of ccRCC2, ccRCC4, and ccRCC5 were analyzed using ClusterProfiler's enricher function (Yu et al. 2012). For the analysis, a hallmark gene set from MSig...
  10. ...varied sequencing technologies and sequencing error rates. We also designed new experiments to profile a normal cell line transcriptome with spiked-in known oncogenic fusion transcripts and nine cancer cell lines using the same long-read sequencing protocol MAS-ISO-seq (Al'Khafaji et al. 2024). In both...
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