ArticleBioinformatics (Oxford, England)2018
IWTomics: testing high-resolution sequence-based 'Omics' data at multiple locations and scales.
Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Nuclear mitochondrial sequences in great ape telomere-to-telomere genomes.Genome research · 2026Article
- Direct detection of alternative DNA conformations with long-read sequencing and machine learning approaches.bioRxiv : the preprint server for biology · 2026Article
- Urban Life Shapes Genetic Diversity in the Green Anole, Anolis carolinensis.Molecular ecology · 2025Article
- Deep statistical modelling of nanopore sequencing translocation times reveals latent non-B DNA structures.Bioinformatics (Oxford, England) · 2023Article
- Functional data analysis characterizes the shapes of the first COVID-19 epidemic wave in Italy.Scientific reports · 2021Article
- Non-B DNA: a major contributor to small- and large-scale variation in nucleotide substitution frequencies across the genome.Nucleic acids research · 2021Article
- Human L1 Transposition Dynamics Unraveled with Functional Data Analysis.Molecular biology and evolution · 2020Article
- Functional data analysis for computational biology.Bioinformatics (Oxford, England) · 2019Article
- Long-read sequencing technology indicates genome-wide effects of non-B DNA on polymerization speed and error rate.Genome research · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Summary: With increased generation of high-resolution sequence-based 'Omics' data, detecting statistically significant effects at different genomic locations and scales has become key to addressing several scientific questions. IWTomics is an R/Bioconductor package (integrated in Galaxy) that, exploiting sophisticated Functional Data Analysis techniques (i.e. statistical techniques that deal with the analysis of curves), allows users to pre-process, visualize and test these data at multiple locations and scales. The package provides a friendly, flexible and complete workflow that can be employed in many genomic and epigenomic applications. Availability and implementation: IWTomics is freely available at the Bioconductor website (http://bioconductor.org/packages/IWTomics) and on the main Galaxy instance (https://usegalaxy.org/). Supplementary information: Supplementary data are available at Bioinformatics online.
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Identifiers
What OpenQuestion holds
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.