Evidence map›Paper›PMID 29621252›Full record

ArticlePloS one2018

Xome-Blender: A novel cancer genome simulator.

Roberto Semeraro, Valerio Orlandini, Alberto Magi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 30% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Boquila: NGS read simulator to eliminate read nucleotide bias in sequence analysis.Turkish journal of biology = Turk biyoloji dergisi · 2023
    Article
  6. Article
  7. Article
  8. Review
  9. PGsim: A Comprehensive and Highly Customizable Personal Genome Simulator.Frontiers in bioengineering and biotechnology · 2020
    Article
  10. Article
  11. simuG: a general-purpose genome simulator.Bioinformatics (Oxford, England) · 2019
    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

3 authors at 2 institutions in 1 country.

Roberto SemeraroDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.ORCID 0000-0003-0601-6903
Valerio OrlandiniMedical Genetics Unit, Meyer Children's University Hospital, Florence, Italy.
Alberto MagiDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
University of Florence · ITMeyer Children's Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The adoption of next generation sequencing based methods in cancer research allowed for the investigation of the complex genetic structure of tumor samples. In the last few years, considerable importance was given to the research of somatic variants and several computational approaches were developed for this purpose. Despite continuous improvements to these programs, the validation of their results it's a hard challenge due to multiple sources of error. To overcome this drawback different simulation approaches are used to generate synthetic samples but they are often based on the addition of artificial mutations that mimic the complexity of genomic variations. For these reasons, we developed a novel software, Xome-Blender, that generates synthetic cancer genomes with user defined features such as the number of subclones, the number of somatic variants and the presence of copy number alterations (CNAs), without the addition of any synthetic element. The singularity of our method is the "morphological approach" used to generate mutation events. To demonstrate the power of our tool we used it to address the hard challenge of evaluating the performance of nine state-of-the-art somatic variant calling methods for small and large variants (VarScan2, MuTect, Shimmer, BCFtools, Strelka, EXCAVATOR2, Control-FREEC and CopywriteR). Through these analyses we observed that by using Xome-Blender data it is possible to appraise small differences between their performance and we have designated VarScan2 and EXCAVATOR2 as best tool for this kind of applications. Xome-Blender is unix-based, licensed under the GPLv3 and freely available at https://github.com/rsemeraro/XomeBlender.

Indexed as

Computer SimulationSoftwareComputational BiologyDatabases, GeneticDNA Copy Number VariationsGenomicsHumansMutationNeoplasmsPolymorphism, Single NucleotideReproducibility of ResultsWorkflow

Identifiers

PMID29621252
PMCPMC5886411
OpenAlexW2796038592

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.