Publication Details

On Heuristic Methods In Next-Generation Sequencing Data Analysis

VOGEL, I. On Heuristic Methods In Next-Generation Sequencing Data Analysis. 2012. p. 0-0.

Czech title

O heuristických metodách v analýze dat z next-generation sekvenování

Type

miscellaneous

Language

English

Authors

Vogel Ivan, Ing., Ph.D.

Abstract

This paper presents an advanced workflow for repetitive element reconstruction
from the sequenced genomes . This workflow is good motivation for optimizations
concerning the fast similarity
sequence search among NGS data. Some hashing techniques such as
locality-sensitive hashing and positional hashing for fast similarity candidate
estimations are proposed, as well as the algorithm
BayesLSH which combines Bayesian inference and locality-sensitive hashing. The
hypothesis is proposed that future combination of BayesLSH and positional hashing
can bring better results concerning
speed and efficiency.

Published

2012

Pages

BibTeX

@misc{BUT192810,
  author="Ivan {Vogel}",
  title="On Heuristic Methods In Next-Generation Sequencing Data Analysis",
  year="2012",
  pages="5",
  note="miscellaneous"
}