Evidence map›Paper›PMID 26643039›Full record

ArticleGenome medicine2015

ScanIndel: a hybrid framework for indel detection via gapped alignment, split reads and de novo assembly.

Rendong Yang, Andrew C Nelson, Christine Henzler, Bharat Thyagarajan, Kevin A T Silverstein

Abstract read
In one paragraph

Article in Genome medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. IGLV3-21HemaSphere · 2026
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  5. Journal of clinical microbiology · 2023
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  6. High-resolution mapping reveals the mechanism and contribution of genome insertions and deletions to RNA virus evolution.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Article
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  9. Article
  10. Article
  11. Assessing acquired resistance to IDH1 inhibitor therapy by full-exonCold Spring Harbor molecular case studies · 2021
    Article
  12. The Journal of biological chemistry · 2020
    Article
  13. Article
  14. Analyses of molecular and histopathologic features and expression of PRAME by immunohistochemistry in mucosal melanomas.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2019
    Article
  15. Article
  16. Article
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  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

5 authors.

Rendong YangSupercomputing Institute for Advanced Computational Research, University of Minnesota, 117 Pleasant St. SE, RM 541, Minneapolis, MN, 55455, USA. yang4414@umn.edu.
Andrew C NelsonDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA. nels2055@umn.edu.
Christine HenzlerSupercomputing Institute for Advanced Computational Research, University of Minnesota, 117 Pleasant St. SE, RM 541, Minneapolis, MN, 55455, USA. chenzler@umn.edu.
Bharat ThyagarajanDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA. thya0003@umn.edu.
Kevin A T SilversteinSupercomputing Institute for Advanced Computational Research, University of Minnesota, 117 Pleasant St. SE, RM 541, Minneapolis, MN, 55455, USA. kats@umn.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comprehensive identification of insertions/deletions (indels) across the full size spectrum from second generation sequencing is challenging due to the relatively short read length inherent in the technology. Different indel calling methods exist but are limited in detection to specific sizes with varying accuracy and resolution. We present ScanIndel, an integrated framework for detecting indels with multiple heuristics including gapped alignment, split reads and de novo assembly. Using simulation data, we demonstrate ScanIndel's superior sensitivity and specificity relative to several state-of-the-art indel callers across various coverage levels and indel sizes. ScanIndel yields higher predictive accuracy with lower computational cost compared with existing tools for both targeted resequencing data from tumor specimens and high coverage whole-genome sequencing data from the human NIST standard NA12878. Thus, we anticipate ScanIndel will improve indel analysis in both clinical and research settings. ScanIndel is implemented in Python, and is freely available for academic use at https://github.com/cauyrd/ScanIndel.

Indexed as

INDEL MutationAlgorithmsChromosome MappingComputational BiologyGenome, HumanGenomicsHumansSensitivity and SpecificitySequence AlignmentSequence Analysis, DNA

Identifiers

PMID26643039
PMCPMC4671222

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.