The Foundation for Biological Data Science is advancing scalable digital tools to interrogate and interpret the biological information all around us.
Recent Projects
Multiscale analysis of pangenomes
Multiscale analysis of pangenomes enables improved representation of genomic diversity for repetitive and clinically relevant genes Authors: Chen-Shan Chin, Sairam Behera, Asif Khalak, Fritz J. Sedlazeck, Peter H. Sudmant, Justin Wagner & Justin M. Zook
Advancements in sequencing technologies and assembly methods enable the regular production of high-quality genome assemblies characterizing complex regions. However, challenges remain in efficiently interpreting variation at various scales, from smaller tandem repeats to megabase rearrangements, across many human genomes.
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Fast de novo genome assembly using hierarchical indexing
SHIMMER indicies for de novo assembly An indexed reads approach can dramatically accelerate the runtime for de novo genome assembly. The goal of this project is to establish this as a viable approach, towards making de novo genome assembly fast and inexpensive – thereby enabling new biology. Key participants on this project are Dr. C-S Chin and Dr. A Khalak.
News May 2019: Shared this concept at the 2019 SFAF Meeting with a presentation.
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