ArticleJournal of computational biology : a journal of computational molecular cell biology2022
The Statistics of
Article in Journal of computational biology : a journal of computational molecular cell biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 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
40 citing papers in PubMed.
- Characterization of microbial dark matter at scale with MetaSBT and taxonomy-aware Sequence Bloom Trees.Nature biotechnology · 2026Article
- Estimation of substitution and indel rates via k-mer statistics.Algorithms for molecular biology : AMB · 2026Article
- A k-mer-based estimator of the substitution rate between repetitive sequences.Algorithms for molecular biology : AMB · 2026Article
- The gift of novelty: repeat-robust k-mer-based estimators of mutation rates.Bioinformatics (Oxford, England) · 2026Article
- Min-frame transformation enables more sensitive viral genome alignment.bioRxiv : the preprint server for biology · 2026Article
- The gift of novelty: repeat-robustbioRxiv : the preprint server for biology · 2026Article
- High-resolution metagenome assembly for modern long reads with myloasm.Nature biotechnology · 2026Article
- High-quality metagenome assembly from nanopore reads with nanoMDBG.Nature communications · 2026Article
- Multi-context seeds enable fast and high-accuracy read mapping.Genome biology · 2026Article
- krepp: a k-mer-based maximum pseudo-likelihood method for estimating read distances and genome-wide phylogenetic placement.Genome biology · 2026Article
- Article
- Leveraging FracMinHash Containment for GenomicbioRxiv : the preprint server for biology · 2025Article
- High-resolution metagenome assembly for modern long reads with myloasm.bioRxiv : the preprint server for biology · 2025Article
- Characterization of microbial dark matter at scale with MetaSBT and taxonomy-aware Sequence Bloom Trees.bioRxiv : the preprint server for biology · 2025Article
- Estimation of substitution and indel rates viaAlgorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop) · 2025Article
- Rapid species-level metagenome profiling and containment estimation with sylph.Nature biotechnology · 2025Article
- Estimation of substitution and indel rates viabioRxiv : the preprint server for biology · 2025Article
- Estimating similarity and distance using FracMinHash.Algorithms for molecular biology : AMB · 2025Article
- K-mer-based Approaches to Bridging Pangenomics and Population Genetics.Molecular biology and evolution · 2025Review
- A k-mer-Based Estimator of the Substitution Rate Between Repetitive Sequences.Algorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
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.