Peter Kerpedjiev, PhD
Biography
Research Fellow in Biomedical Informatics
Peter was a Postdoctoral Fellow in the lab of Nils Gehlenborg at Harvard Medical School. Previously, he was a PhD student working on modelling the tertiary structure of RNA molecules at the Theoretical Biochemistry Group at the University of Vienna.
News
- HiGlass Released and Preprint Posted
- HiPiler Preprint on the bioRxiv
- Gehlenborg Lab will present five talks at ISMB 2018
- HiGlass Published in Genome Biology
- Papers, Posters, and Presentations at IEEE VIS 2019
Media
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Nature (2017)
The most popular genes in the human genome -
"Peter Kerpedjiev needed a crash course in genetics. A software engineer with some training in bioinformatics, he was pursuing a PhD and thought it would really help to know some fundamentals of biology. If I wanted to have an intelligent conversation with someone, what genes do I need to know about? he wondered."
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Nature News (2017)
TechBlog: HiPiler simplifies chromatin structure analysis -
"Using bioinformatic algorithms, researchers can query chromatin-contact datasets to find all such structures. But these algorithms may return thousands of hits. How is a researcher to study them? Enter HiPiler. Developed by Gehlenborg’s lab in collaboration with the lab of Hanspeter Pfister at the John A. Paulson School of Engineering and Applied Sciences at Harvard, HiPiler excises these features and presents them on a canvas as miniature snippets — basically tiny segments of the full-sized contact map, which users can then organize, sort, and cluster based on parameters such as noise or location."
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Nature News (2017)
Toolbox: Plot a course through the genome -
"Inspired by Google Maps, a suite of tools is allowing researchers to chart the complex conformations of chromosomes."
Publications
- HiGlass: web-based visual exploration and analysis of genome interaction maps
- HiPiler: Visual Exploration Of Large Genome Interaction Matrices With Interactive Small Multiples
- Pattern-Driven Navigation in 2D Multiscale Visualizations with Scalable Insets
- The 4D Nucleome Data Portal as a resource for searching and visualizing curated nucleomics data