Evidence map›Paper›PMID 25289699›Full record

ArticlePloS one2014

Indexes of large genome collections on a PC.

Agnieszka Danek, Sebastian Deorowicz, Szymon Grabowski

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. A variant selection framework for genome graphs.Bioinformatics (Oxford, England) · 2021
    Article
  4. Efficient Construction of a Complete Index for Pan-Genomics Read Alignment.Journal of computational biology : a journal of computational molecular cell biology · 2020
    Article
  5. Bit-parallel sequence-to-graph alignment.Bioinformatics (Oxford, England) · 2019
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Searching and Indexing Genomic Databases via Kernelization.Frontiers in bioengineering and biotechnology · 2015
    Review
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Agnieszka DanekInstitute of Informatics, Silesian University of Technology, Gliwice, Poland.
Sebastian DeorowiczInstitute of Informatics, Silesian University of Technology, Gliwice, Poland.
Szymon GrabowskiInstitute of Applied Computer Science, Lodz University of Technology, Łódź, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The availability of thousands of individual genomes of one species should boost rapid progress in personalized medicine or understanding of the interaction between genotype and phenotype, to name a few applications. A key operation useful in such analyses is aligning sequencing reads against a collection of genomes, which is costly with the use of existing algorithms due to their large memory requirements. We present MuGI, Multiple Genome Index, which reports all occurrences of a given pattern, in exact and approximate matching model, against a collection of thousand(s) genomes. Its unique feature is the small index size, which is customisable. It fits in a standard computer with 16-32 GB, or even 8 GB, of RAM, for the 1000GP collection of 1092 diploid human genomes. The solution is also fast. For example, the exact matching queries (of average length 150 bp) are handled in average time of 39 µs and with up to 3 mismatches in 373 µs on the test PC with the index size of 13.4 GB. For a smaller index, occupying 7.4 GB in memory, the respective times grow to 76 µs and 917 µs. Software is available at http://sun.aei.polsl.pl/mugi under a free license. Data S1 is available at PLOS One online.

Indexed as

Abstracting and IndexingComputersGenomeGenomicsAlgorithmsComputational BiologyDatasets as Topic

Identifiers

PMID25289699
PMCPMC4188820

What OpenQuestion holds

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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.