The problems of recurrent and anomalous pattern discovery in time series, eg, motifs and
discords, respectively, have received a lot of attention from researchers in the past decade …

The problem of time series motif discovery has received a lot of attention from researchers in
the past decade. Most existing work on finding time series motifs require that the length of …

The problem of identifying frequently occurring patterns, or motifs, in time series data has
received a lot of attention in the past few years. Most existing work on finding time series …

Time series data is ubiquitous and plays an important role in virtually every domain. For
example, in medicine, the advancement of computer technology has enabled more …

Abstract Motivation: Transposable elements (TEs) and repetitive DNA make up a sizable
fraction of Eukaryotic genomes, and their annotation is crucial to the study of the structure …

Background In spite of numerous research efforts on supporting the therapy of diabetes
mellitus, the subject still involves challenges and creates active interest among researchers …

In order to extract phylogenetic information from DNA sequences, the new normalized k-
word average relative distance is proposed in this paper. The proposed measure was tested …

摘要现有的在DNA 序列中识别重复体的算法多数是基于比对的, 对识别速度和吞吐量有很大的
限制. 针对这个问题文中根据一个平衡重复体的长度和频率的定义, 提出了一种基于Ukkonen …

In recent years, the string datasets have increased exponentially, so is the need to process
them. Most of these datasets have been deeply rooted in the field of bioinformatics since the …

Sequence comparison is an important topic in bioinformatics. With the exponential increase
of biological sequences, the traditional protein sequence comparison methods—the …