用于测试DNA序列组装算法的人工生成数据集。

Artificially generated data sets for testing DNA sequence assembly algorithms.

作者信息

Engle M L, Burks C

机构信息

Theoretical Biology and Biophysics Group, Los Alamos National Laboratory, New Mexico 87545.

出版信息

Genomics. 1993 Apr;16(1):286-8. doi: 10.1006/geno.1993.1180.

DOI:10.1006/geno.1993.1180

PMID:8486376

Abstract

We have developed a set of tools, genfrag, to fragment and optionally mutate a DNA sequence to generate benchmark data sets for testing DNA sequence assembly algorithms. Data parameters can be systematically and independently varied to explore the range of data--and corresponding performance of assembly tools--encountered on large-scale random, or "shot-gun," sequencing projects.

摘要

我们开发了一套名为genfrag的工具，用于对DNA序列进行片段化，并可选择使其发生突变，以生成用于测试DNA序列组装算法的基准数据集。数据参数可以系统地、独立地变化，以探索在大规模随机或“鸟枪法”测序项目中遇到的数据范围以及相应的组装工具性能。