Hpg pore: an efficient and scalable framework for nanopore sequencing data

HIGHLIGHTS

• who: Joaquin Tarraga from the (UNIVERSITY) have published the research work: HPG pore: an efficient and scalable framework for nanopore sequencing data, in the Journal: (JOURNAL)
• what: The study shows that runtimes in poRe, Poretools and HPG Pore (running locally) are approximately linearly dependent on the number of sequences in the FAST5 file, with a trend towards an increased slope for high numbers of sequences.
• future: HPG Pore can run on both individual computers and in the Hadoop distributed computing framework which allows easy scale-up to manage the large amounts of data . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.