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  1. ..., Germany; 12Department of Statistical Bioinformatics, University of Regensburg, 93053 Regensburg, Germany ↵13 These authors contributed equally to this work. Corresponding author: robin.kosch@protonmail.comAbstractHigh-throughput bottom-up proteomic data cover thousands of proteins and related co- and post...
  2. ...structure analyses, genetic diversity evaluation, and ancestry estimation (Kennedy et al. 2003; Zimmerman et al. 2020). Simultaneously, the latest advances in SNP high-throughput arrays and WGS facilitate the SNPs applied in the usual genetic analyses. However, compared with WGS, SNP arrays were primarily...
  3. ...High-throughput and -scale targeted mutagenesis using CRISPR in a nonmodel multicellular organism, Bombyx mori Sanyuan Ma1, Tong Zhang1, Ruolin Wang1, Pan Wang1, Yue Liu1,2, Jiasong Chang1,3, Aoming Wang1, Xinhui Lan1, Le Sun1, Hao Sun1, Run Shi1, Wei Lu1, Dan Liu1, Na Zhang1, Wenbo Hu1, Xiaogang...
  4. ....delledonne@univr.it, r.papa@staff.univpm.itAbstractHigh-throughput genotyping enables the large-scale analysis of genetic diversity in population genomics and -wide association studies that combine the genotypic and phenotypic characterization of large collections of accessions. Sequencing-based approaches...
  5. ...to the mitochondrial noise levels described above.View larger version: In this window In a new window Figure 4. Mitochondrial reads harboring somatic mutations are detected in noncancer cells. (A,B) Violin plots of the VAF of each cell for (A) patient P1 and (B) P2 mtSNV loci in scRNA-seq data, categorized...
  6. ...-Debrinski et al. 1992), whole- PCR (Tengan and Moraes 1996), high-throughput sequencing (Lujan et al. 2020), digital PCR (Herbst et al. 2017), and long-read mtDNA sequencing (Vandiver et al. 2022). The chimeric mtRNAs predominate in the mitochondrial major arc, span large portions of the mitochondrial (i.e., 6...
  7. ...), and the development of microarrays first (Schena et al. 1995) and high-throughput sequencing later (Margulies et al. 2005) boosted our capacity to analyze transcriptomes. Nowadays, the most common technique to analyze gene expression is RNA sequencing (RNA-seq). This technique consists of first isolating RNA from...
  8. .../repeatability, sensitivity/specificity, and other relevant performance characteristics. For long-read HiFi sequencing, we adopted the definitions for “Reportable Range” and “Reference Range (Reference Interval)” based on clinical high-throughput sequencing guidelines (Gargis et al. 2012; Santani et al. 2017). However...
  9. ...in cancer s, a comprehensive understanding 66 of somatic SV's scope and mechanisms is essential for uncovering key cancer mutations in 67 patient tumors. 68 69 However, despite the widespread clinical application of somatic SV detection methods based 70 on second-generation short-read sequencing...
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  10. ...; 4Rice Synthetic Biology Institute, Rice University, Houston, Texas 77005, USA ↵5 These authors contributed equally to this work. Corresponding author: vy@rice.eduAbstractAs sequencing techniques advance in precision, affordability, and diversity, an abundance of heterogeneous sequencing data has...
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