Single-cell RNA sequencing (scRNA-seq) offers new opportunities to study gene expression
of tens of thousands of single cells simultaneously. We present DeepImpute, a deep neural …

Background Single-cell RNA sequencing (scRNA-Seq) is an increasingly popular platform
to study heterogeneity at the single-cell level. Computational methods to process scRNA-Seq …

Infectious pathogens can disrupt the microbiome in addition to directly affecting the host.
Impacts of disease may be dependent on the ability of the microbiome to recover from such …

Computational scalability has become an important requirement for processing the massive
amounts of data generated in contemporary sequencing-based experiments. The …

Motivation Metagenomic approaches hold the potential to characterize microbial communities
and unravel the intricate link between the microbiome and biological processes. Assembly …

Alignment of scRNA-Seq data are the first and one of the most critical steps of the scRNA-Seq
analysis workflow, and thus the choice of proper aligners is of paramount importance. …

Resource-constrained island populations have thrived in Hawai’i for over a millennium, but
now face aggressive new challenges to fundamental resources, including the security and …

Studies of the effects of volcanic activity on the Hawaiian Islands are extremely relevant due
to the past and current co‐eruptions at both Mauna Loa and Kīlauea. The Big Island of …

In collaboration with the Center for Microbiome Analysis through Island Knowledge and
Investigations (C-MĀIKI), the Hawaii EPSCoR Ike Wai project and the Hawaii Data Science …

We present GranatumX, a next-generation software environment for single-cell RNA sequencing
(scRNA-seq) data analysis. GranatumX is inspired by the interactive webtool Granatum. …