Limin Fu

TL;DR: A new CD-HIT program accelerated with a novel parallelization strategy and some other techniques to allow efficient clustering of such datasets to reduce sequence redundancy and improve the performance of other sequence analyses is developed.

TL;DR: A new web server, CD-HIT Suite, is developed for clustering a user-uploaded sequence dataset or comparing it to another dataset at different identity levels and users can now interactively explore the clusters within web browsers.

TL;DR: The FLAME algorithm has intrinsic advantages, such as the ability to capture non-linear relationships and non-globular clusters, the automated definition of the number of clusters, and the identification of cluster outliers, i.e. genes that are not assigned to any cluster.

TL;DR: The rapid advances of high-throughput sequencing technologies dramatically prompted metagenomic studies of microbial communities that exist at various environments pose tremendous challenges in data analysis, and sequence clustering methods can directly answer many of the fundamental questions by grouping similar sequences into families.

TL;DR: A method for identification of exact and nearly identical duplicates from pyrosequencing reads using an all-against-all sequence comparison and clusters the duplicates into groups using an algorithm modified from the previous sequence clustering method cd-hit.org.