Additional file 11: of A comparative evaluation of hybrid error correction methods for error-prone long reads
收藏DataCite Commons2024-02-19 更新2024-07-27 收录
下载链接:
https://springernature.figshare.com/articles/dataset/Additional_file_11_of_A_comparative_evaluation_of_hybrid_error_correction_methods_for_error-prone_long_reads/7672229
下载链接
链接失效反馈官方服务:
资源简介:
Table S9. Memory usage performance statistics by the preprocessing modules of five error correction methods (unit: G). (XLSX 14 kb)
提供机构:
figshare
创建时间:
2019-02-05



