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Moreover, LRScaf has the shortest run time compared with other scaffolders, and the peak RAM of LRScaf remains practical for large genomes (e.g., 20.3 and 62.6 GB on CHM1 and NA12878, respectively). Besides, LRScaf generates the best contiguous NGA50 on A. LRScaf significantly improves the contiguity of draft assemblies, e.g., increasing the NGA50 value of CHM1 from 127.1 kbp to 9.4 Mbp using 20-fold coverage PacBio dataset and the NGA50 value of NA12878 from 115.3 kbp to 12.9 Mbp using 35-fold coverage Nanopore dataset. In this study, we summarise a comprehensive performance assessment for state-of-the-art scaffolders and LRScaf on seven organisms, i.e., E. We develop a scalable and computationally efficient scaffolder, Long Reads Scaffolder (LRScaf, ), that is capable of significantly boosting assembly contiguity using long reads. Hybrid assembly on large genomes remains challenging, however. There are SSPACE-LongRead, OPERA-LG, SMIS, npScarf, DBG2OLC, Unicycler, and LINKS. To date, a few algorithms that are capable of improving draft assemblies have released. Long reads are promising for enhancing the quality of fragmented draft assemblies constructed from next-generation sequencing (NGS) technologies. The advent of third-generation sequencing (TGS) technologies opens the door to improve genome assembly.