Evidence map›Paper›PMID 22355574›Full record

ArticleScientific reports2011

Next generation sequencing has lower sequence coverage and poorer SNP-detection capability in the regulatory regions.

Weixin Wang, Zhi Wei, Tak-Wah Lam, Junwen Wang

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
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

41 citing papers in PubMed.

  1. Article
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  4. Non-coding driver mutations in human cancer.Nature reviews. Cancer · 2021
    Review
  5. Review
  6. Article
  7. Article
  8. Article
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  12. Cytogenetics and holoprosencephaly: A chromosomal microarray study of 222 individuals with holoprosencephaly.American journal of medical genetics. Part C, Seminars in medical genetics · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Non-coding genetic variation in cancer.Current opinion in systems biology · 2017
    Article
  19. Article
  20. 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.

Weixin WangDepartment of Biochemistry, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Zhi Wei
Tak-Wah Lam
Junwen Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid development of next generation sequencing (NGS) technology provides a new chance to extend the scale and resolution of genomic research. How to efficiently map millions of short reads to the reference genome and how to make accurate SNP calls are two major challenges in taking full advantage of NGS. In this article, we reviewed the current software tools for mapping and SNP calling, and evaluated their performance on samples from The Cancer Genome Atlas (TCGA) project. We found that BWA and Bowtie are better than the other alignment tools in comprehensive performance for Illumina platform, while NovoalignCS showed the best overall performance for SOLiD. Furthermore, we showed that next-generation sequencing platform has significantly lower coverage and poorer SNP-calling performance in the CpG islands, promoter and 5'-UTR regions of the genome. NGS experiments targeting for these regions should have higher sequencing depth than the normal genomic region.

Indexed as

AlgorithmsBase SequenceChromosome MappingDNADNA Mutational AnalysisHumansMolecular Sequence DataPolymorphism, Single NucleotideRegulatory Sequences, Nucleic AcidSequence Analysis, DNADNA

Identifiers

PMID22355574
PMCPMC3216542

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.