ReviewCell reports methods2025
Methods, applications, and computational challenges in bait capture enrichment.
Review in Cell reports methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- A mitochondrial DNA metabarcoding system based on tNGS enables multiplex identification of vertebrate species in samples containing degraded and mixed DNA.International journal of legal medicine · 2026Article
- RAmpSim: a thermodynamic simulator for hybridization capture in metagenomic sequencing.Bioinformatics (Oxford, England) · 2026Article
- A Roadmap for Using Hybridisation Capture-Based Target Enrichment of Ancient Environmental DNA in Palaeoecology.Molecular ecology resources · 2026Review
- Nanopore direct RNA sequencing and the epitranscriptome: Advances in mapping native RNA landscapes.iMeta · 2026Review
- RAmpSim: A Thermodynamic Simulator for Hybridization Capture in Metagenomic Sequencing.bioRxiv : the preprint server for biology · 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
Abstract
Bait capture enrichment techniques have revolutionized our understanding of complex biological systems by enabling the selective isolation of specific genomic regions for detailed study. This review offers a comprehensive examination of bait capture enrichment, evaluating its advantages, limitations, and applications. We explore the computational challenges inherent in bait capture enrichment, including bait design, deduplication, variant detection, and the modeling of off-target binding. Current solutions and open problems in these areas are discussed, highlighting potential future research directions. By addressing these challenges and improving bait capture methodologies, we can enhance the ability to investigate genomic regions of interest with greater precision and efficiency, ultimately advancing our understanding of fundamental genetic and biological processes.
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.