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本文引用的文献

1
Discovering simple regions in biological sequences associated with scoring schemes.发现与评分方案相关的生物序列中的简单区域。
J Comput Biol. 2003;10(2):171-85. doi: 10.1089/106652703321825955.
2
Construction of stochastic context trees for genetic texts.用于基因文本的随机上下文树构建。
In Silico Biol. 2002;2(3):233-47.
3
Meta-analysis of indels causing human genetic disease: mechanisms of mutagenesis and the role of local DNA sequence complexity.导致人类遗传疾病的插入缺失的荟萃分析：诱变机制及局部DNA序列复杂性的作用
Hum Mutat. 2003 Jan;21(1):28-44. doi: 10.1002/humu.10146.
4
Genome size and the accumulation of simple sequence repeats: implications of new data from genome sequencing projects.基因组大小与简单序列重复序列的积累：来自基因组测序项目新数据的启示
Genetica. 2002 May;115(1):93-103. doi: 10.1023/a:1016028332006.
5
Sequence complexity profiles of prokaryotic genomic sequences: a fast algorithm for calculating linguistic complexity.原核生物基因组序列的序列复杂性概况：一种计算语言复杂性的快速算法。
Bioinformatics. 2002 May;18(5):679-88. doi: 10.1093/bioinformatics/18.5.679.
6
Detecting cryptically simple protein sequences using the SIMPLE algorithm.使用SIMPLE算法检测隐蔽的简单蛋白质序列。
Bioinformatics. 2002 May;18(5):672-8. doi: 10.1093/bioinformatics/18.5.672.
7
Entropy and complexity of finite sequences as fluctuating quantities.作为波动量的有限序列的熵与复杂性。
Biosystems. 2002 Jan;64(1-3):23-32. doi: 10.1016/s0303-2647(01)00171-x.
8
Discovering patterns in Plasmodium falciparum genomic DNA.发现恶性疟原虫基因组DNA中的模式。
Mol Biochem Parasitol. 2001 Dec;118(2):175-86. doi: 10.1016/s0166-6851(01)00388-7.
9
SpliceDB: database of canonical and non-canonical mammalian splice sites.SpliceDB：哺乳动物标准和非标准剪接位点数据库。
Nucleic Acids Res. 2001 Jan 1;29(1):255-9. doi: 10.1093/nar/29.1.255.
10
A Compression Algorithm for DNA Sequences and Its Applications in Genome Comparison.一种用于DNA序列的压缩算法及其在基因组比较中的应用。
Genome Inform Ser Workshop Genome Inform. 1999;10:51-61.

复杂性：一个用于分析DNA序列复杂性的互联网资源。

Complexity: an internet resource for analysis of DNA sequence complexity.

作者信息

Orlov Y L, Potapov V N

机构信息

Institute of Mathematics SB RAS, prosp. Koptyuga 4, Novosibirsk, 630090 Russia.

出版信息

Nucleic Acids Res. 2004 Jul 1;32(Web Server issue):W628-33. doi: 10.1093/nar/gkh466.

DOI:10.1093/nar/gkh466
PMID:15215465
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC441604/
Abstract

The search for DNA regions with low complexity is one of the pivotal tasks of modern structural analysis of complete genomes. The low complexity may be preconditioned by strong inequality in nucleotide content (biased composition), by tandem or dispersed repeats or by palindrome-hairpin structures, as well as by a combination of all these factors. Several numerical measures of textual complexity, including combinatorial and linguistic ones, together with complexity estimation using a modified Lempel-Ziv algorithm, have been implemented in a software tool called 'Complexity' (http://wwwmgs.bionet.nsc.ru/mgs/programs/low_complexity/). The software enables a user to search for low-complexity regions in long sequences, e.g. complete bacterial genomes or eukaryotic chromosomes. In addition, it estimates the complexity of groups of aligned sequences.

摘要

寻找低复杂度的DNA区域是现代全基因组结构分析的关键任务之一。低复杂度可能由核苷酸含量的强烈不均衡（偏向性组成）、串联或分散重复序列、回文-发夹结构以及所有这些因素的组合所导致。文本复杂度的几种数值度量方法，包括组合和语言学方法，以及使用改进的莱姆佩尔-齐夫算法进行的复杂度估计，已在一个名为“Complexity”的软件工具（http://wwwmgs.bionet.nsc.ru/mgs/programs/low_complexity/）中实现。该软件能让用户在长序列（如完整的细菌基因组或真核染色体）中搜索低复杂度区域。此外，它还能估计比对序列组的复杂度。