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JUGAS, R. VÍTEK, M. SEDLÁŘ, K. ŠKUTKOVÁ, H.
Original Title
Cross-Correlation Based Detection of Contigs Overlaps
Type
conference paper
Language
English
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.
Keywords
bioinformatics; genomic signal processing;assembly; correlation
Authors
JUGAS, R.; VÍTEK, M.; SEDLÁŘ, K.; ŠKUTKOVÁ, H.
Released
25. 5. 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" }