Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Nicolae Radu Zabet"'
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-12 (2024)
Abstract Artificial intelligence (AI) is revolutionizing many real-world applications in various domains. In the field of genomics, multiple traditional machine-learning approaches have been used to understand the dynamics of genetic data. These appr
Externí odkaz:
https://doaj.org/article/c530b2d3aadc4a958684f0e901db9c4c
Publikováno v:
Genome Biology, Vol 22, Iss 1, Pp 1-23 (2021)
Abstract Background Enhancers are non-coding regions of the genome that control the activity of target genes. Recent efforts to identify active enhancers experimentally and in silico have proven effective. While these tools can predict the locations
Externí odkaz:
https://doaj.org/article/a7e2a4715eaa4363961c78e7ada16cf1
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 18, Iss , Pp 3590-3605 (2020)
Transcription Factors (TFs) bind to DNA and control activity of target genes. Here, we present ChIPanalyser, a user-friendly, versatile and powerful R/Bioconductor package predicting and modelling the binding of TFs to DNA. ChIPanalyser performs simi
Externí odkaz:
https://doaj.org/article/ac19e7889479437fbac526f7ebf36160
Publikováno v:
Frontiers in Plant Science, Vol 11 (2020)
Externí odkaz:
https://doaj.org/article/103d5853f470453a8ee0499dd3e01f81
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-7 (2017)
Retrotransposons are abundant in eukaryotic genomes. Here, Sanchez et al. show evidence of high-frequency recombination between members of an LTR retrotransposon family during transposition bursts in Arabidopsis.
Externí odkaz:
https://doaj.org/article/42f9da4446054810a6e31b3af2b6a946
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 10, Iss 17, Pp 63-69 (2014)
The organization of binding sites in cis-regulatory elements (CREs) can influence gene expression through a combination of physical mechanisms, ranging from direct interactions between TF molecules to DNA looping and transient chromatin interactions.
Externí odkaz:
https://doaj.org/article/fcbc269fca5b4d4ba1f33ac209ffe600
Publikováno v:
PLoS ONE, Vol 8, Iss 9, p e73714 (2013)
Transcription factors (TFs) are proteins that bind to specific sites on the DNA and regulate gene activity. Identifying where TF molecules bind and how much time they spend on their target sites is key to understanding transcriptional regulation. It
Externí odkaz:
https://doaj.org/article/3dc587d85f52469b9ee08cfef2875646
Autor:
Debosree Pal, Manthan Patel, Fanny Boulet, Jayakumar Sundarraj, Olivia A Grant, Miguel R. Branco, Srinjan Basu, Silvia Santos, Nicolae Radu Zabet, Paola Scaffidi, Madapura M Pradeepa
Mammalian genomes harbour a large number of transposable elements (TEs) and their remnants. Many epigenetic repression mechanisms are known to silence TE transcription. However, TEs are upregulated during early development, neuronal lineage, and canc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a3869984725dc7f6e5c99571609bc4e
https://www.repository.cam.ac.uk/handle/1810/350884
https://www.repository.cam.ac.uk/handle/1810/350884
Publikováno v:
Bioinformatics. 38:3523-3531
Motivation Several computational and statistical methods have been developed to analyze data generated through the 3C-based methods, especially the Hi-C. Most of the existing methods do not account for dependency in Hi-C data. Results Here, we presen
Autor:
Romana T. Pop, Alessandra Pisante, Dorka Nagy, Patrick C. N. Martin, Liudmila A Mikheeva, Ateequllah Hayat, Gabriella Ficz, Nicolae Radu Zabet
Transcription factors (TFs) are proteins that affect gene expression by binding to regulatory regions of DNA in a sequence specific manner. The binding of TFs to DNA is controlled by many factors, including the DNA sequence, concentration of TF, chro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acfc7b28fcbf12e96d94f00ae02783f3
https://doi.org/10.1101/2023.03.15.532796
https://doi.org/10.1101/2023.03.15.532796