Holly Bik joined the lab as a new postdoc at the beginning of 2012, bringing in a focus on microbial eukaryotes. She is currently involved in the development the PhyloSift pipeline (phylogeny-based taxonomy from environmental metagenomes), as well as on multiple outreach/communication activities. For more about Holly, see some of her various social media activities:
- Dr. Holly Bik | Deep Sea News
- @Dr_Bik – Twitter
- Holly’s personal Homepage
- Holly Bik – Google Profile
Holly’s long-term research interests lie at the interface between biology and computer/physical science, focusing on high-throughput sequencing as an approach for understanding the biodiversity of (historically neglected) microbial eukaryote taxa. Microbial eukaryotes (organisms 38μm-1mm, such as nematodes, fungi, protists, etc.) are abundant and ubiquitous across every ecosystem on earth, performing key functions such as nutrient cycling and sediment stability in marine habitats. High-throughput biodiversity research specifically aims to 1) improve our ability to understand, predict and mitigate human impacts on natural ecosystems (e.g. anthropogenic impacts stemming from energy production, such as oil spills), and 2) develop new analytical tools that bridge the disciplines of biology and computer/physical science.
High-throughput analysis of microbial eukaryotes is still an emerging field; we currently have a poor understanding of genomic evolution in eukaryotes (e.g. factors influencing intragenomic variation across nuclear rRNA gene arrays, which confounds our ability to link amplicon data to biological species), have very little genomic data available for most taxa, and continue to lack the cyberinfrastructure needed for effective interpretation of large sequence datasets.
Holly works closely with computer scientists and software engineers to inform the development of cutting-edge tools for the primary analysis of large sequence datasets (millions of reads), including: assessing how the clustering of raw sequence reads into Operational Taxonomic Units (OTUs) can differentially affect the biological interpretation of sequence data, phylogenetic pipelines as a robust tool for identifying divergent environmental lineages (interpreting short reads in an evolutionary context), comprehensive ecological analyses (e.g. linking different types of –omic data, OTU network analysis) and visualization as an innovative tool for enabling novel scientific discovery. Over the last few years, Holly has fostered collaborative and interdisciplinary efforts to bridge biology with computational and mathematical disciplines. This focus recently culminated in a funding award for a Catalaysis Meeting at the National Evolutionary Synthesis Center (NESCent)—enabling an intellectually transformative meeting attended by a diverse group of organismal biologists, ecologists, computer scientists, and bioinformaticians.