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Cited by 324

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Indexing Graphs for Path Queries with Applications in Genome Research

Siren, Jouni, Valimaki, Niko, Makinen, Veli·2014·IEEE/ACM Transactions on Computational Biology and Bioinformatics

Abstract

We propose a generic approach to replace the canonical sequence representation of genomes with graph representations, and study several applications of such extensions. We extend the Burrows-Wheeler transform (BWT) of strings to acyclic directed labeled graphs, to support path queries as an extension to substring searching. We develop, apply, and tailor this technique to a) read alignment on an extended BWT index of a graph representing pan-genome, i.e., reference genome and known variants of it; and b) split-read alignment on an extended BWT index of a splicing graph. Other possible applications include probe/primer design, alignments to assembly graphs, and alignments to phylogenetic tree of partial-order graphs. We report several experiments on the feasibility and applicability of the approach. Especially on highly-polymorphic genome regions our pan-genome index is making a significant improvement in alignment accuracy.

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Metadata

Authors
Siren, J., Valimaki, N., & Makinen, V.
Venue
IEEE/ACM Transactions on Computational Biology and Bioinformatics
Published
2014-03
Volume
11
Issue
2
Pages
375-388
ISSN
1545-5963 (ISSN-L)
OpenAlex
W2011210839
Cited by
324
References
24
Type
paratext
Language
en
Open access
closed

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CoChat. (2026). Citation check: Indexing Graphs for Path Queries with Applications in Genome Research. https://app.cochat.ai/papers/10.1109/tcbb.2013.2297101
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Siren, J., Valimaki, N., & Makinen, V. (2014). Indexing Graphs for Path Queries with Applications in Genome Research. IEEE/ACM Transactions on Computational Biology and Bioinformatics. https://doi.org/10.1109/tcbb.2013.2297101

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.