ReviewGenome biology2019
When the levee breaks: a practical guide to sketching algorithms for processing the flood of genomic data.
Review in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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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.
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Who cites it
28 citing papers in PubMed.
- A k-mer-based estimator of the substitution rate between repetitive sequences.Algorithms for molecular biology : AMB · 2026Article
- Hash functions in nucleotide sequence analysis.Genome research · 2026Review
- GenCore: Genomic distance estimation using Locally Consistent Parsing.bioRxiv : the preprint server for biology · 2026Article
- Sequence similarity estimation by random subsequence sketching.bioRxiv : the preprint server for biology · 2025Article
- RabbitSketch: a high-performance sketching library for genome analysis.Bioinformatics (Oxford, England) · 2025Article
- Unraveling the hidden complexity of cancer through long-read sequencing.Genome research · 2025Review
- Review
- xRead: a coverage-guided approach for scalable construction of read overlapping graph.GigaScience · 2025Article
- Population structure analysis ofFrontiers in microbiology · 2025Article
- A k-mer-Based Estimator of the Substitution Rate Between Repetitive Sequences.Algorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop) · 2025Article
- When less is more: sketching with minimizers in genomics.Genome biology · 2024Review
- Kssdtree: an interactive Python package for phylogenetic analysis based on sketching technique.Bioinformatics (Oxford, England) · 2024Article
- Duplicated antibiotic resistance genes reveal ongoing selection and horizontal gene transfer in bacteria.Nature communications · 2024Article
- Highly efficient clustering of long-read transcriptomic data with GeLuster.Bioinformatics (Oxford, England) · 2024Article
- Creating and Using Minimizer Sketches in Computational Genomics.Journal of computational biology : a journal of computational molecular cell biology · 2023Review
- RabbitTClust: enabling fast clustering analysis of millions of bacteria genomes with MinHash sketches.Genome biology · 2023Article
- bettercallsal: better calling ofFrontiers in microbiology · 2023Article
- Sketching and sampling approaches for fast and accurate long read classification.BMC bioinformatics · 2022Article
- The minimizer Jaccard estimator is biased and inconsistent.Bioinformatics (Oxford, England) · 2022Article
- Metagenomics: a path to understanding the gut microbiome.Mammalian genome : official journal of the International Mammalian Genome Society · 2021Review
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Considerable advances in genomics over the past decade have resulted in vast amounts of data being generated and deposited in global archives. The growth of these archives exceeds our ability to process their content, leading to significant analysis bottlenecks. Sketching algorithms produce small, approximate summaries of data and have shown great utility in tackling this flood of genomic data, while using minimal compute resources. This article reviews the current state of the field, focusing on how the algorithms work and how genomicists can utilize them effectively. References to interactive workbooks for explaining concepts and demonstrating workflows are included at https://github.com/will-rowe/genome-sketching .
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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.