Evidence map›Paper›PMID 29061109›Full record

ArticleBMC genomics2017

dCATCH-Seq: improved sequencing of large continuous genomic targets with double-hybridization.

Yanfeng Zhang, Jun Song, Kenneth Day, Devin Absher

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 45% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Yanfeng ZhangHudsonAlpha Institute for Biotechnology, Huntsville, USA.
Jun SongHudsonAlpha Institute for Biotechnology, Huntsville, USA.
Kenneth DayHudsonAlpha Institute for Biotechnology, Huntsville, USA.
Devin AbsherHudsonAlpha Institute for Biotechnology, Huntsville, USA. dabsher@hudsonalpha.org.
HudsonAlpha Institute for Biotechnology · USID Genomics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTargeted sequencing is a powerful tool with broad application in both basic and translational sciences. Relatively low on-target rates for most current targeted sequencing studies influence the required coverage and data quality for subsequent applications.

resultsWe present an improved targeted sequencing method that uses two rounds of in solution hybridization with probes synthesized from genomic clone templates, termed dCATCH-Seq. Independent captures of two large continuous genomic regions across three cell types within the human major histocompatibility complex (MHC) that spans ~3.5 Mb and a ~250 kb region on chromosome 11 demonstrated that dCATCH-Seq was highly reproducible with ~95% capture specificity. Comprehensive analyses of sequencing data generated using the dCATCH-Seq approach also showed high accuracy in the detection of genetic variants and HLA typing. The double hybridization capture approach can also be coupled with bisulfite sequencing for DNA methylation profiling of both CpG and non-CpG sites.

conclusionsAltogether, dCATCH-Seq is a powerful and scalable targeted sequencing approach to investigate both genetic and epigenetic features.

Indexed as

Epigenesis, GeneticNucleic Acid HybridizationSoftwareB-LymphocytesDNA MethylationGenetic VariationGenome, HumanGenomicsHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNABacDNA methylationHlaHybridizationMhcTargeted sequencing

Identifiers

PMID29061109
PMCPMC5653981
OpenAlexW2766157048

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.