Searching journal content for articles similar to Surget-Groba and Montoya-Burgos 20 (10): 1432.

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  1. .... A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat Genet 43: 491–498. Du J, Bjornson RD, Zhang ZD, Kong Y, Snyder M, Gerstein MB. 2009. Integrating sequencing technologies in personal genomics: optimal low cost reconstruction of structural variants. PLoS Comput...
  2. ...-read sequencing is rapidly emerging as a transformative technology for cancer research by providing a comprehensive view across the , transcriptome, and epi, including the ability to detect alterations that previous technologies have overlooked. In this Perspective, we explore the current applications of long...
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  3. ...et al. 2022).Transcriptome-wide patterns of m6A RNA modifications have typically been studied using short-read sequencing coupled with either antibody-dependent methods such as methylated RNA immunoprecipitation sequencing (MeRIP-seq) (Meyer et al. 2012) or enzymatic/chemical approaches (Garcia...
  4. ...for the simulation of genomic next-generation sequencing data. Nat Rev Genet 17: 459–469. doi:10.1038/nrg.2016.57 ↵Gamaarachchi H, Lam CW, Jayatilaka G, Samarakoon H, Simpson JT, Smith MA, Parameswaran S. 2020. GPU accelerated adaptive banded event alignment for rapid comparative nanopore signal analysis. BMC...
  5. ...their cDNA, or in the case of ONT, the option of direct RNA sequencing. Early applications of these technologies have been constrained due to low throughput and high error rates. Recent advances in both long-read platforms have enabled high-throughput long-read transcriptome sequencing at high sequencing...
  6. ...-throughput sequencing is challenging. Here, we applied long-read nanopore sequencing and multisite sampling in a cohort of 42 samples from five patients. We found that adjacent nontumor tissue is not entirely normal, as significant somatic SV alterations were detected in these nontumor s. The adjacent nontumor tissue...
  7. ...-level and site-level prediction scores. Xron is a standalone, end-to-end m6A-distinguishing basecaller capable of detecting methylated bases directly from raw sequencing signals, enabling de novo methylome assembly.RNA modification plays essential roles in various biological processes, including stem cell...
  8. ...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...
  9. ...A cloud-compatible bioinformatics pipeline for ultrarapid pathogen identification from next-generation sequencing of clinical samples Samia N. Naccache 1 , 2 , Scot Federman 1 , 2 , Narayanan Veeraraghavan 1 , 2 , Matei Zaharia 3 , Deanna...
  10. ...developments make it possible to characterize complex on-target effects. We combined an innovative droplet-based target enrichment approach with long-read sequencing and coupled it to a customized de novo sequence assembly. This approach enabled us to dissect the sequence content at kilobase scale within an on...
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