ARTIFICIALLY GENERATED DATA SETS FOR TESTING DNA-SEQUENCE ASSEMBLY ALGORITHMS

被引：39

作者：

ENGLE, ML

BURKS, C

机构：

[1] LOS ALAMOS NATL LAB,THEORET BIOL & BIOPHYS GRP,T-10,MS K710,LOS ALAMOS,NM 87545

[2] LOS ALAMOS NATL LAB,CTR HUMAN GENOME STUDIES,LOS ALAMOS,NM 87545

来源：

GENOMICS | 1993年 / 16卷 / 01期

关键词：

D O I：

10.1006/geno.1993.1180

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

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. © 1993 Academic Press, Inc.

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页码：286 / 288

页数：3

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