Comparison of methods for biological sequence clustering.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2023.3253138
Abstract: Recent advances in sequencing technology have considerably promoted genomics research by providing high-throughput sequencing economically. This great advancement has resulted in a huge amount of sequencing data. Clustering analysis is powerful to study and probes… read more here.
Keywords: clustering methods; comparison methods; sequence; sequence clustering ... See more keywords
A Randomized Algorithm for a Sequence 2-Clustering Problem
Sign Up to like & getrecommendations! Published in 2018 at "Computational Mathematics and Mathematical Physics"
DOI: 10.1134/s0965542518120138
Abstract: We consider a strongly NP-hard problem of partitioning a finite Euclidean sequence into two clusters of given cardinalities minimizing the sum over both clusters of intracluster sums of squared distances from clusters elements to their… read more here.
Keywords: sequence clustering; randomized algorithm; algorithm sequence; clustering problem ... See more keywords
Beyond HIV outbreaks: protocol, rationale and implementation of a prospective study quantifying the benefit of incorporating viral sequence clustering analysis into routine public health interventions.
Sign Up to like & getrecommendations! Published in 2022 at "BMJ open"
DOI: 10.1136/bmjopen-2021-060184
Abstract: INTRODUCTION HIV continues to have great impact on millions of lives. Novel methods are needed to disrupt HIV transmission networks. In the USA, public health departments routinely conduct contact tracing and partner services and interview… read more here.
Keywords: health; study; sequence clustering; public health ... See more keywords
EdClust: A heuristic sequence clustering method with higher sensitivity.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of bioinformatics and computational biology"
DOI: 10.1142/s0219720021500360
Abstract: The development of high-throughput technologies has produced increasing amounts of sequence data and an increasing need for efficient clustering algorithms that can process massive volumes of sequencing data for downstream analysis. Heuristic clustering methods are… read more here.
Keywords: clustering method; sequence clustering; sequence; sensitivity ... See more keywords