Searching journal content for articles similar to Guiblet et al. 31 (7): 1136.

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  1. Resource: Quadrupia provides a comprehensive catalog of G-quadruplexes across genomes from the tree of life
    • Nikol Chantzi,
    • Akshatha Nayak,
    • Fotis A. Baltoumas,
    • Eleni Aplakidou,
    • Shiau Wei Liew,
    • Jesslyn Elvaretta Galuh,
    • Michail Patsakis,
    • Austin Montgomery,
    • Camille Moeckel,
    • Ioannis Mouratidis,
    • Saiful Arefeen Sazed,
    • Wilfried Guiblet,
    • Panagiotis Karmiris-Obratański,
    • Guliang Wang,
    • Apostolos Zaravinos,
    • Karen M. Vasquez,
    • Chun Kit Kwok,
    • Georgios A. Pavlopoulos,
    • and Ilias Georgakopoulos-Soares
    Genome Res. November 2025 35: 2578-2600; Published in Advance August 26, 2025, doi:10.1101/gr.279790.124
    ...alignments, profile hidden Markov models, and cross-references to G-quadruplex 3D structures. Examination of G-quadruplexes across functional genomic elements in different taxa indicates preferential orientation and positioning, with significant differences between individual taxonomic groups. For example...
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  2. Research: Long-read sequencing technology indicates genome-wide effects of non-B DNA on polymerization speed and error rate
    • Wilfried M. Guiblet,
    • Marzia A. Cremona,
    • Monika Cechova,
    • Robert S. Harris,
    • Iva Kejnovská,
    • Eduard Kejnovsky,
    • Kristin Eckert,
    • Francesca Chiaromonte,
    • and Kateryna D. Makova
    Genome Res. December 2018 28: 1767-1778; Published in Advance November 6, 2018, doi:10.1101/gr.241257.118
    ...simultaneous examination of DNA polymerization kinetics and errors in the human sequenced with Single-Molecule Real-Time (SMRT) technology. We show that polymerization speed differs between non-B and B-DNA: It decelerates at G-quadruplexes and fluctuates periodically at disease-causing tandem repeats...
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  3. Perspective: Challenges in identifying mRNA transcript starts and ends from long-read sequencing data
    • Ezequiel Calvo-Roitberg,
    • Rachel F. Daniels,
    • and Athma A. Pai
    Genome Res. November 2024 34: 1719-1734; doi:10.1101/gr.279559.124
    ...at the terminal ends of transcripts because there are no common features to define reads from these regions (Qin et al. 2018; Cass and Xiao 2019; Fiszbein et al. 2022). The challenge of characterizing mRNA terminal ends in SRS data is also magnified by fragmentation and size selection steps during library...
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