Evidence map›Paper›PMID 24433564›Full record

ArticleBMC research notes2014

XS: a FASTQ read simulator.

Diogo Pratas, Armando J Pinho, João M O S Rodrigues

Abstract read
In one paragraph

Article in BMC research notes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Boquila: NGS read simulator to eliminate read nucleotide bias in sequence analysis.Turkish journal of biology = Turk biyoloji dergisi · 2023
    Article
  3. A broad survey of DNA sequence data simulation tools.Briefings in functional genomics · 2020
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. RNF: a general framework to evaluate NGS read mappers.Bioinformatics (Oxford, England) · 2016
    Article
  10. 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.

Diogo PratasSignal Processing Lab, IEETA/DETI University of Aveiro, Aveiro 3810-193, Portugal. pratas@ua.pt.
Armando J Pinho
João M O S Rodrigues

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe emerging next-generation sequencing (NGS) is bringing, besides the natural huge amounts of data, an avalanche of new specialized tools (for analysis, compression, alignment, among others) and large public and private network infrastructures. Therefore, a direct necessity of specific simulation tools for testing and benchmarking is rising, such as a flexible and portable FASTQ read simulator, without the need of a reference sequence, yet correctly prepared for producing approximately the same characteristics as real data.

findingsWe present XS, a skilled FASTQ read simulation tool, flexible, portable (does not need a reference sequence) and tunable in terms of sequence complexity. It has several running modes, depending on the time and memory available, and is aimed at testing computing infrastructures, namely cloud computing of large-scale projects, and testing FASTQ compression algorithms. Moreover, XS offers the possibility of simulating the three main FASTQ components individually (headers, DNA sequences and quality-scores).

conclusionsXS provides an efficient and convenient method for fast simulation of FASTQ files, such as those from Ion Torrent (currently uncovered by other simulators), Roche-454, Illumina and ABI-SOLiD sequencing machines. This tool is publicly available at http://bioinformatics.ua.pt/software/xs/.

Indexed as

AlgorithmsComputational BiologyHigh-Throughput Nucleotide SequencingReproducibility of ResultsSequence Analysis, DNASoftware

Identifiers

PMID24433564
PMCPMC3927261

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.