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instaGRAAL: chromosome-level quality scaffolding of genomes using a proximity ligation-based scaffolder
Genome Biology ( IF 10.1 ) Pub Date : 2020-06-18 , DOI: 10.1186/s13059-020-02041-z
Lyam Baudry 1, 2 , Nadège Guiglielmoni 1, 3 , Hervé Marie-Nelly 1, 2 , Alexandre Cormier 4 , Martial Marbouty 1 , Komlan Avia 4, 5 , Yann Loe Mie 6 , Olivier Godfroy 4 , Lieven Sterck 7, 8 , J Mark Cock 4 , Christophe Zimmer 9 , Susana M Coelho 4 , Romain Koszul 1
Affiliation  

Hi-C exploits contact frequencies between pairs of loci to bridge and order contigs during genome assembly, resulting in chromosome-level assemblies. Because few robust programs are available for this type of data, we developed instaGRAAL, a complete overhaul of the GRAAL program, which has adapted the latter to allow efficient assembly of large genomes. instaGRAAL features a number of improvements over GRAAL, including a modular correction approach that optionally integrates independent data. We validate the program using data for two brown algae, and human, to generate near-complete assemblies with minimal human intervention.

中文翻译:

instaGRAAL:使用基于邻近连接的支架的基因组染色体水平质量支架

Hi-C 在基因组组装过程中利用基因座对之间的接触频率来桥接和排序重叠群,从而产生染色体水平的组装。由于很少有强大的程序可用于此类数据,因此我们开发了 instaGRAAL,这是对 GRAAL 程序的彻底改革,该程序对后者进行了调整以允许高效组装大型基因组。instaGRAAL 与 GRAAL 相比有许多改进,包括模块化校正方法,可选择集成独立数据。我们使用两种褐藻和人类的数据验证该程序,以在最少的人工干预下生成近乎完整的组件。
更新日期:2020-06-18
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