ArticleNucleic acids research2024
iM-Seeker: a webserver for DNA i-motifs prediction and scoring via automated machine learning.
Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- QuaDB: A streamlined web tool for identifier-based rapid prediction of putative quadruplex sequences.Human genomics · 2026Article
- Neuid: A Novel Neuron-Enriched LncRNA that Connects Epigenetic Gene Silencing to Alzheimer's Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Strand-asymmetric G-runs and G4s downstream of TSS modulate tumor suppressor gene transcription.Oncogene · 2026Article
- The cellular landscape of i-motifs: genomic insights, methodological challenges, and the road ahead.Genome biology · 2026Review
- Non-B DNA structures and their contributions to genetic diversity, aging, and disease.Nucleic acids research · 2026Review
- High-throughput measurement and prediction of the i-motif DNA stability landscape.Nucleic acids research · 2026Article
- In silico mapping of non-canonical DNA structures across the human ribosomal DNA locus.G3 (Bethesda, Md.) · 2026Article
- The Influence of CG sites on dynamic DNA sequence mutagenesis in the genomic evolution of mammalian lifespan.Nucleic acids research · 2025Article
- G-quadruplex and i-motif DNA structures form in the promoter of the key innate immune adaptorCell reports. Physical science · 2025Article
- Non-canonical DNA in human and other ape telomere-to-telomere genomes.Nucleic acids research · 2025Article
- Non-canonical DNA in human and other ape telomere-to-telomere genomes.bioRxiv : the preprint server for biology · 2025Article
- Sequence-based prioritization of i-Motif candidates in the human genome.Frontiers in bioinformatics · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
DNA, beyond its canonical B-form double helix, adopts various alternative conformations, among which the i-motif, emerging in cytosine-rich sequences under acidic conditions, holds significant biological implications in transcription modulation and telomere biology. Despite recognizing the crucial role of i-motifs, predictive software for i-motif forming sequences has been limited. Addressing this gap, we introduce 'iM-Seeker', an innovative computational platform designed for the prediction and evaluation of i-motifs. iM-Seeker exhibits the capability to identify potential i-motifs within DNA segments or entire genomes, calculating stability scores for each predicted i-motif based on parameters such as the cytosine tracts number, loop lengths, and sequence composition. Furthermore, the webserver leverages automated machine learning (AutoML) to effortlessly fine-tune the optimal i-motif scoring model, incorporating user-supplied experimental data and customised features. As an advanced, versatile approach, 'iM-Seeker' promises to advance genomic research, highlighting the potential of i-motifs in cell biology and therapeutic applications. The webserver is freely available at https://im-seeker.org.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.