Evidence map›Paper›PMID 27087830›Full record

ArticleAlgorithms for molecular biology : AMB2016

Bloom Filter Trie: an alignment-free and reference-free data structure for pan-genome storage.

Guillaume Holley, Roland Wittler, Jens Stoye

Abstract read
In one paragraph

Article in Algorithms for molecular biology : AMB, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

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0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. PanKmer: k-mer-based and reference-free pangenome analysis.Bioinformatics (Oxford, England) · 2023
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  6. Data Structures to Represent a Set ofACM computing surveys · 2022
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  7. Succinct dynamic de Bruijn graphs.Bioinformatics (Oxford, England) · 2021
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  8. Article
  9. A variant selection framework for genome graphs.Bioinformatics (Oxford, England) · 2021
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  10. Article
  11. Article
  12. Representation ofJournal of computational biology : a journal of computational molecular cell biology · 2021
    Article
  13. Buffering updates enables efficient dynamic de Bruijn graphs.Computational and structural biotechnology journal · 2021
    Article
  14. Data structures based onGenome research · 2021
    Review
  15. Article
  16. Pan-genomics in the human genome era.Nature reviews. Genetics · 2020
    Review
  17. An Efficient, Scalable, and Exact Representation of High-Dimensional Color Information Enabled Using de Bruijn Graph Search.Journal of computational biology : a journal of computational molecular cell biology · 2020
    Article
  18. Article
  19. Article
  20. Review
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.

Guillaume HolleyGenome Informatics, Faculty of Technology, Bielefeld University, Bielefeld, Germany ; Center for Biotechnology, Bielefeld University, Bielefeld, Germany ; International Research Training Group 1906, Bielefeld University, Bielefeld, Germany.
Roland WittlerGenome Informatics, Faculty of Technology, Bielefeld University, Bielefeld, Germany ; Center for Biotechnology, Bielefeld University, Bielefeld, Germany ; International Research Training Group 1906, Bielefeld University, Bielefeld, Germany.
Jens StoyeGenome Informatics, Faculty of Technology, Bielefeld University, Bielefeld, Germany ; Center for Biotechnology, Bielefeld University, Bielefeld, Germany ; International Research Training Group 1906, Bielefeld University, Bielefeld, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh throughput sequencing technologies have become fast and cheap in the past years. As a result, large-scale projects started to sequence tens to several thousands of genomes per species, producing a high number of sequences sampled from each genome. Such a highly redundant collection of very similar sequences is called a pan-genome. It can be transformed into a set of sequences "colored" by the genomes to which they belong. A colored de Bruijn graph (C-DBG) extracts from the sequences all colored k-mers, strings of length k, and stores them in vertices.

resultsIn this paper, we present an alignment-free, reference-free and incremental data structure for storing a pan-genome as a C-DBG: the bloom filter trie (BFT). The data structure allows to store and compress a set of colored k-mers, and also to efficiently traverse the graph. Bloom filter trie was used to index and query different pangenome datasets. Compared to another state-of-the-art data structure, BFT was up to two times faster to build while using about the same amount of main memory. For querying k-mers, BFT was about 52-66 times faster while using about 5.5-14.3 times less memory.

conclusionWe present a novel succinct data structure called the Bloom Filter Trie for indexing a pan-genome as a colored de Bruijn graph. The trie stores k-mers and their colors based on a new representation of vertices that compress and index shared substrings. Vertices use basic data structures for lightweight substrings storage as well as Bloom filters for efficient trie and graph traversals. Experimental results prove better performance compared to another state-of-the-art data structure. AVAILABILITY: https://www.github.com/GuillaumeHolley/BloomFilterTrie.

Indexed as

Bloom filterColored de bruijn graphCompressionIndexPan-genomePopulation genomicsSimilar genomesSuccinct data structureTrie

Identifiers

PMID27087830
PMCPMC4832552

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Registered trials

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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.