Publication result detail

Cross-Correlation Based Detection of Contigs Overlaps

JUGAS, R.; VÍTEK, M.; SEDLÁŘ, K.; ŠKUTKOVÁ, H.

Original Title

Cross-Correlation Based Detection of Contigs Overlaps

English Title

Cross-Correlation Based Detection of Contigs Overlaps

Type

Paper in proceedings (conference paper)

Original Abstract

The current methods use string algorithms based on dynamic programming computing with characters (A, C, G, T) representing nucleotides, but if applied to long sequences, e.g. contigs, they tend to be time-consuming. We applied another approach based on genomic signal processing to evaluate the further merging and overlaps between the contigs.

English abstract

The current methods use string algorithms based on dynamic programming computing with characters (A, C, G, T) representing nucleotides, but if applied to long sequences, e.g. contigs, they tend to be time-consuming. We applied another approach based on genomic signal processing to evaluate the further merging and overlaps between the contigs.

Keywords

bioinformatics; genomic signal processing;assembly; correlation

Key words in English

bioinformatics; genomic signal processing;assembly; correlation

Authors

JUGAS, R.; VÍTEK, M.; SEDLÁŘ, K.; ŠKUTKOVÁ, H.

RIV year

2019

Released

25.05.2018

Publisher

IEEE

Location

New York

ISBN

978-953-233-095-3

Book

MIPRO 2018 proceedings

Pages from

155

Pages to

158

Pages count

4

URL

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8400030

BibTex

@inproceedings{BUT149580,
  author="Robin {Jugas} and Martin {Vítek} and Karel {Sedlář} and Helena {Vítková}",
  title="Cross-Correlation Based Detection of Contigs Overlaps",
  booktitle="MIPRO 2018 proceedings",
  year="2018",
  pages="155--158",
  publisher="IEEE",
  address="New York",
  doi="10.23919/MIPRO.2018.8400030",
  isbn="978-953-233-095-3",
  url="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8400030"
}