K-mer can be used for the description of biological sequences and k-mer distribution is a tool for solving sequences analysis problems in bioinformatics.We can use k-mer vector as a representation method of the k-mer ...K-mer can be used for the description of biological sequences and k-mer distribution is a tool for solving sequences analysis problems in bioinformatics.We can use k-mer vector as a representation method of the k-mer distribution of the biological sequence.Problems,such as similarity calculations or sequence assembly,can be described in the k-mer vector space.It helps us to identify new features of an old sequence-based problem in bioinformatics and develop new algorithms using the concepts and methods from linear space theory.In this study,we defined the k-mer vector space for the generalized biological sequences.The meaning of corresponding vector operations is explained in the biological context.We presented the vector/matrix form of several widely seen sequence-based problems,including read quantification,sequence assembly,and pattern detection problem.Its advantages and disadvantages are discussed.Also,we implement a tool for the sequence assembly problem based on the concepts of k-mer vector methods.It shows the practicability and convenience of this algorithm design strategy.展开更多
中国龙船花Ixora chinensis是一种兼备药用与观赏价值的传统中药材,解析中国龙船花的基因组特征信息,可为其全基因组测序和药效成分生物合成的分子机制研究奠定理论基础。本研究利用Survey基因组测序技术,使用K-mer分析方法对中国龙船...中国龙船花Ixora chinensis是一种兼备药用与观赏价值的传统中药材,解析中国龙船花的基因组特征信息,可为其全基因组测序和药效成分生物合成的分子机制研究奠定理论基础。本研究利用Survey基因组测序技术,使用K-mer分析方法对中国龙船花基因组特征信息展开评估,获得基因组重复度、杂合度以及GC含量等信息。Survey高通量测序获得Raw Data 47.63 Gb,过滤后Clean data 45.62 Gb。K-mer分析表明,基因组大小588.35 Mb,杂合度1.5598%,重复度64.49%,GC含量35.71%,中国龙船花基因组呈现高杂合度、高重复度、基因组庞大的特征。展开更多
基金the National Natural Science Foundation of China(11771393,11632015)the Natural Sci-ence Foundation of Zhejiang Province,China(LZ14A010002).
文摘K-mer can be used for the description of biological sequences and k-mer distribution is a tool for solving sequences analysis problems in bioinformatics.We can use k-mer vector as a representation method of the k-mer distribution of the biological sequence.Problems,such as similarity calculations or sequence assembly,can be described in the k-mer vector space.It helps us to identify new features of an old sequence-based problem in bioinformatics and develop new algorithms using the concepts and methods from linear space theory.In this study,we defined the k-mer vector space for the generalized biological sequences.The meaning of corresponding vector operations is explained in the biological context.We presented the vector/matrix form of several widely seen sequence-based problems,including read quantification,sequence assembly,and pattern detection problem.Its advantages and disadvantages are discussed.Also,we implement a tool for the sequence assembly problem based on the concepts of k-mer vector methods.It shows the practicability and convenience of this algorithm design strategy.
文摘中国龙船花Ixora chinensis是一种兼备药用与观赏价值的传统中药材,解析中国龙船花的基因组特征信息,可为其全基因组测序和药效成分生物合成的分子机制研究奠定理论基础。本研究利用Survey基因组测序技术,使用K-mer分析方法对中国龙船花基因组特征信息展开评估,获得基因组重复度、杂合度以及GC含量等信息。Survey高通量测序获得Raw Data 47.63 Gb,过滤后Clean data 45.62 Gb。K-mer分析表明,基因组大小588.35 Mb,杂合度1.5598%,重复度64.49%,GC含量35.71%,中国龙船花基因组呈现高杂合度、高重复度、基因组庞大的特征。
