Can long-read sequencing tackle the barriers, which the next-generation could not? A review

Nikolett Szakállas, Barbara K. Barták, Gábor Valcz, Z. Nagy, István Takács, Béla Molnár
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Abstract

The large-scale heterogeneity of genetic diseases necessitated the deeper examination of nucleotide sequence alterations enhancing the discovery of new targeted drug attack points. The appearance of new sequencing techniques was essential to get more interpretable genomic data. In contrast to the previous short-reads, longer lengths can provide a better insight into the potential health threatening genetic abnormalities. Long-reads offer more accurate variant identification and genome assembly methods, indicating advances in nucleotide deflect-related studies. In this review, we introduce the historical background of sequencing technologies and show their benefits and limits, as well. Furthermore, we highlight the differences between short- and long-read approaches, including their unique advances and difficulties in methodologies and evaluation. Additionally, we provide a detailed description of the corresponding bioinformatics and the current applications.
长读数测序能否解决新一代测序无法解决的障碍?综述
遗传疾病的大规模异质性要求对核苷酸序列的改变进行更深入的研究,以发现新的靶向药物攻击点。新测序技术的出现对于获得更多可解释的基因组数据至关重要。与以往的短读数相比,长读数能更好地洞察潜在的威胁健康的基因异常。长读数可提供更准确的变异识别和基因组组装方法,表明核苷酸偏转相关研究取得了进展。在这篇综述中,我们介绍了测序技术的历史背景,并说明了它们的优势和局限性。此外,我们还强调了短读方法和长读方法之间的差异,包括它们在方法和评估方面的独特进展和困难。此外,我们还详细介绍了相应的生物信息学和当前的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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