Research Projects (4/4):

Biological & Computational Tools

Professor Yemini’s background in biology, genetics, math, computer science, and software development has fueled the creation of several scientific tools. Our software source code is available from Github.

Our most recent tool NeuroPAL and its accompanying software (Yemini et al, Cell 2021), is a method to identify cell-types, in vivo, using color barcodes.

Our previous tools have focused on behavioral phenotypes — for example, Worm Tracker 2.0 (Yemini E et al, Nature Methods 2013) is a high-throughput hardware, software, and analysis pipeline that was used to create a database of nervous-system mutant phenotypes. This database contains 300+ worm strains, represented by nearly 10,000 worms with 700+ phenotypic features/worm.