ArticleGenome biology2019
SMURF-seq: efficient copy number profiling on long-read sequencers.
Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 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
8 citing papers in PubMed.
- Nanopore-based random genomic sampling for intraoperative molecular diagnosis.Genome medicine · 2025Article
- Exploiting nanopore sequencing for characterization and grading of IDH-mutant gliomas.Brain pathology (Zurich, Switzerland) · 2024Article
- GLIMMERS: glioma molecular markers exploration using long-read sequencing.Bioinformatics advances · 2024Article
- Beyond assembly: the increasing flexibility of single-molecule sequencing technology.Nature reviews. Genetics · 2023Review
- High resolution copy number inference in cancer using short-molecule nanopore sequencing.Nucleic acids research · 2021Article
- Cell-Free DNA Analysis by Whole-Exome Sequencing for Hepatocellular Carcinoma: A Pilot Study in Thailand.Cancers · 2021Article
- Author Correction: SMURF-seq: efficient copy number profiling on long-read sequencers.Genome biology · 2020Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
Abstract
We present SMURF-seq, a protocol to efficiently sequence short DNA molecules on a long-read sequencer by randomly ligating them to form long molecules. Applying SMURF-seq using the Oxford Nanopore MinION yields up to 30 fragments per read, providing an average of 6.2 and up to 7.5 million mappable fragments per run, increasing information throughput for read-counting applications. We apply SMURF-seq on the MinION to generate copy number profiles. A comparison with profiles from Illumina sequencing reveals that SMURF-seq attains similar accuracy. More broadly, SMURF-seq expands the utility of long-read sequencers for read-counting applications.
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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.