项目中需要64位数的字节转换,主机转换成网路或者相反转换,写了2个函数,有需要的可以参考。
2022-05-20 20:40:54 966B 64位 字节序 转换
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PB如何调用IC卡读卡器函数,如何实现接口程的对接,为此,提供了PB调用IC卡读卡器程的例子代码,方便大家参考!如有需要进行交流,可以给我留言或者加我q80760223进行探讨
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H3C控制线 2022.5.17 console 线的线,通用性最强的一个线
2022-05-18 13:03:33 106KB H3C控制线
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查询windows\Linux小端系统字符串在内存存储字节列,是按字节在内存中的地址从小到大显示的
2022-05-15 09:00:32 2.02MB 源码软件
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用C语言实现二叉树的中线索化,查找*p节点在中下的前驱节点和后继节点。课程设计完整版+详解
2022-05-14 09:07:35 317KB c语言 综合资源 数据结构 课程设计
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四绕组变压器零阻抗算法的探讨.doc
2022-05-11 09:08:27 26KB 算法 文档资料
数字电路习题及解答触发器及 时逻辑电路
2022-05-10 14:34:32 119KB 230kb
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三角矩阵的行列主压缩存储及变换算法.doc
2022-05-09 19:15:02 580KB 矩阵 算法 文档资料 线性代数
遍历线索化二叉树算法的设计与实现实验报告.doc
2022-05-09 19:14:58 594KB 文档资料 算法
MECAT is an ultra-fast Mapping, Error Correction and de novo Assembly Tools for single molecula sequencing (SMRT) reads. MECAT employs novel alignment and error correction algorithms that are much more efficient than the state of art of aligners and error correction tools. MECAT can be used for effectively de novo assemblying large genomes. For example, on a 32-thread computer with 2.0 GHz CPU , MECAT takes 9.5 days to assemble a human genome based on 54x SMRT data, which is 40 times faster than the current PBcR-Mhap pipeline. We also use MECAT to assemble a diploid human genome based on 102x SMRT data only in 25 days. The latter assembly leads a great improvement of quality to the previous genome assembled from the 54x haploid SMRT data. MECAT performance were compared with PBcR-Mhap pipeline, FALCON and Canu(v1.3) in five real datasets. The quality of assembled contigs produced by MECAT is the same or better than that of the PBcR-Mhap pipeline and FALCON. Here are some comparisons on the 32-thread computer with 2.0 GHz CPU and 512 GB RAM memory:
2022-05-09 15:52:17 6.15MB 三代测序
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