Zhong Wang

TL;DR: This study revealed, for the first time, the genome prevalence of polycistronic transcription in a subset of fungi and systematically demonstrated that short-read assembly is insufficient for mRNA isoform discovery, especially for isoform-rich loci.

TL;DR: An efficient software suite that estimates similarities between genomes based on their k-mer matches, and subsequently uses these similarities for classification, clustering, and visualization, and demonstrates that Genome Constellation can tackle the computational and algorithmic challenges in large-scale taxonomy analyses in metagenomics.

TL;DR: This work extended their previous read clustering software, SpaRC, by exploiting statistics derived from multiple samples in a dataset to reduce the under-clustering problem and demonstrate that this method has the potential to cluster almost all of the short reads from genomes with sufficient sequencing coverage.

TL;DR: A Apache Spark-based scalable sequence clustering application, SparkReadClust (SpaRC), that partitions the reads based on their molecule of origin to enable downstream assembly optimization and suggests SpaRC provides a scalable solution for clustering billions of reads from the next-generation sequencing experiments.

TL;DR: The results suggest integrating heterogeneous technologies such as Hadoop and MPI is quite efficient to solve large genomics problems that are both data-intensive and compute-intensive.