Categorization of species based on their microRNAs employing sequence motifs, information-theoretic sequence feature extraction, and k-mers

Autor: Malik Yousef, Dawit Nigatu, Dalit Levy, Jens Allmer, Werner Henkel

Publikováno v: EURASIP Journal on Advances in Signal Processing, Vol 2017, Iss 1, Pp 1-10 (2017)

Abstract Background Diseases like cancer can manifest themselves through changes in protein abundance, and microRNAs (miRNAs) play a key role in the modulation of protein quantity. MicroRNAs are used throughout all kingdoms and have been shown to be

Externí odkaz: https://doaj.org/article/0a87c222dcf143208dec07fc908c0c69

Classification of Precursor MicroRNAs from Different Species Based on K-mer Distance Features

Autor: Jens Allmer, Malik Yousef

Publikováno v: Algorithms, Vol 14, Iss 132, p 132 (2021)
Algorithms
Volume 14
Issue 5

MicroRNAs (miRNAs) are short RNA sequences that are actively involved in gene regulation. These regulators on the post-transcriptional level have been discovered in virtually all eukaryotic organisms. Additionally, miRNAs seem to exist in viruses and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ce3d235e8d6c33f293bc17e62d89392
https://www.mdpi.com/1999-4893/14/5/132

Categorization of species based on their microRNAs employing sequence motifs, information-theoretic sequence feature extraction, and k-mers

Autor: Werner Henkel, Malik Yousef, Dawit Nigatu, Dalit Levy, Jens Allmer

Publikováno v: Eurasip Journal on Advances in Signal Processing, 2017
EURASIP Journal on Advances in Signal Processing, Vol 2017, Iss 1, Pp 1-10 (2017)
Eurasip Journal on Advances in Signal Processing 2017 (2017)

Background: Diseases like cancer can manifest themselves through changes in protein abundance, and microRNAs (miRNAs) play a key role in the modulation of protein quantity. MicroRNAs are used throughout all kingdoms and have been shown to be exploite

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40d4946b5638202d523fc3e55da8648d
https://doi.org/10.1186/s13634-017-0506-8

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