Using high performance computing to model cellular embryogenesis Conference Paper


Authors: Vanloo, G.; Wong, K.; Ng, C.; Ramsey, B.; Bao, Z.; Osborne, K.; Wang, D.
Title: Using high performance computing to model cellular embryogenesis
Conference Title: XSEDE16 Conference on Diversity, Big Data, and Science at Scale
Abstract: C. elegans is a primitive multicellular organism (worm) that shares many important biological characteristics that arise as complications within human beings. [1] It begins as a single cell and then undergoes a complex embryogenesis to form a complete animal. Using experimental data, the early stages of life of the cells are simulated by computers. The goal of this project is to use this simulation to compare the embryogenesis stage of C. elegans cells with that of human cells. Since the simulation involves the manipulation of many files and large amounts of data, the power provided by supercomputers and parallel programming is required. © 2016 ACM.
Keywords: cytology; simulation; animal cell culture; cells; c. elegans; elegans; big data; netlogo; parallel programing; repasthpc; visit; parallel programming; supercomputers
Journal Title ACM International Conference Proceeding Series
Conference Dates: 2016 Jul 17-21
Conference Location: Miami, USA
ISBN: 978-1-4503-4755-6
Publisher: Association for Computing Machinery  
Location: New York, NY
Date Published: 2016-01-01
Start Page: a12
Language: English
DOI: 10.1145/2949550.2949576
PROVIDER: scopus
DOI/URL:
Notes: Conference Paper -- Conference code: 123713 -- Export Date: 2 November 2016 -- Cray; DataDirect Networks; Dell; et al.; Hewlett Packard Enterprise; Intel -- 17 July 2016 through 21 July 2016 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Zhirong Bao
    56 Bao