We started Trestle after making a few observations:
We have accumulated a large hands-on knowledge base in wet lab research and advanced analytics while working within both academic and private sectors. Our biological expertise includes mechanisms of gene expression, phylogenomics, image analysis, and high-throughput method development. We have a deep interest in how biological systems function and evolve and have spent 25+ combined years developing our biological intuition within academic research labs.
We combine this with 10+ years applying machine learning and optimization models to complex problems ranging from solving the structures of transcription complexes to minimizing vehicle routing costs. As a team, we are well positioned to help you identify the relevant signals hidden within biological data.
For analysis of data from commonly executed experiments, such as RNA-seq or ChIP-seq, we will manage, prepare, and crunch your data using computational pipelines that adhere to best practices while working with you to understand your problem so that we can find the patterns that are relevant to your research. Then, we’ll deliver a mix of standard and custom visualizations to help you share your research story. Other standardized services include streamlining the process of publishing your data and analyses following FAIR (Findable, Accessible, Interoperable, and Reusable) guiding principles.
Our team can be positioned as an extension to yours. With this option, we agree on how much of our time you need on a monthly basis and determine how we should allocate that time to your projects. You’ll get our combined expertise, not just one of us, and our level of support can be adapted to your needs as they change.
“I have spent the last 15 years in academia developing new high-throughput experimental techniques to investigate protein-nucleic acid interactions involved in gene expression and bacterial development. ”
Explore a partnership with Trestle to make your next experiment more efficient, insightful, and successful.