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A comparative benchmark of classic DNA motif discovery tools on synthetic data

Authors :
Castellana, S
Biagini, T
Parca, L
Petrizzelli, F
Bianco, S
Vescovi, A
Carella, M
Mazza, T
Castellana S.
Biagini T.
Parca L.
Petrizzelli F.
Bianco S. D.
Vescovi A. L.
Carella M.
Mazza T.
Castellana, S
Biagini, T
Parca, L
Petrizzelli, F
Bianco, S
Vescovi, A
Carella, M
Mazza, T
Castellana S.
Biagini T.
Parca L.
Petrizzelli F.
Bianco S. D.
Vescovi A. L.
Carella M.
Mazza T.
Publication Year :
2021

Abstract

Hundreds of human proteins were found to establish transient interactions with rather degenerated consensus DNA sequences or motifs. Identifying these motifs and the genomic sites where interactions occur represent one of the most challenging research goals in modern molecular biology and bioinformatics. The last twenty years witnessed an explosion of computational tools designed to perform this task, whose performance has been last compared fifteen years ago. Here, we survey sixteen of them, benchmark their ability to identify known motifs nested in twenty-nine simulated sequence datasets, and finally report their strengths, weaknesses, and complementarity.

Details

Database :
OAIster
Notes :
ELETTRONICO, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1383767278
Document Type :
Electronic Resource