Corpus ID: 31147245

Sustainable Software Development for Next-Gen Sequencing (NGS) Bioinformatics on Emerging Platforms

@article{Swenson2013SustainableSD,
  title={Sustainable Software Development for Next-Gen Sequencing (NGS) Bioinformatics on Emerging Platforms},
  author={Shel Swenson and Yogesh L. Simmhan and Viktor K. Prasanna and Manish Parashar and E. Jason Riedy and David A. Bader and Richard W. Vuduc},
  journal={ArXiv},
  year={2013},
  volume={abs/1309.1828}
}
  • Shel Swenson, Yogesh L. Simmhan, +4 authors Richard W. Vuduc
  • Published 2013
  • Mathematics, Computer Science
  • ArXiv
  • DNA sequence analysis is fundamental to life science research. The rapid development of next generation sequencing (NGS) technologies, and the richness and diversity of applications it makes feasible, have created an enormous gulf between the potential of this technology and the development of computational methods to realize this potential. Bridging this gap holds possibilities for broad impacts toward multiple grand challenges and offers unprecedented opportunities for software innovation and… CONTINUE READING

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