Electronic Resource
Eulertigs: Minimum Plain Text Representation of k-mer Sets Without Repetitions in Linear Time
العنوان: | Eulertigs: Minimum Plain Text Representation of k-mer Sets Without Repetitions in Linear Time |
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المؤلفون: | Sebastian Schmidt and Jarno N. Alanko, Schmidt, Sebastian, Alanko, Jarno N. |
بيانات النشر: | Schloss Dagstuhl – Leibniz-Zentrum für Informatik 2022 |
نوع الوثيقة: | Electronic Resource |
مستخلص: | A fundamental operation in computational genomics is to reduce the input sequences to their constituent k-mers. For maximum performance of downstream applications it is important to store the k-mers in small space, while keeping the representation easy and efficient to use (i.e. without k-mer repetitions and in plain text). Recently, heuristics were presented to compute a near-minimum such representation. We present an algorithm to compute a minimum representation in optimal (linear) time and use it to evaluate the existing heuristics. For that, we present a formalisation of arc-centric bidirected de Bruijn graphs and carefully prove that it accurately models the k-mer spectrum of the input. Our algorithm first constructs the de Bruijn graph in linear time in the length of the input strings (for a fixed-size alphabet). Then it uses a Eulerian-cycle-based algorithm to compute the minimum representation, in time linear in the size of the output. |
مصطلحات الفهرس: | Spectrum preserving string sets, Eulerian cycle, Suffix tree, Bidirected arc-centric de Bruijn graph, k-mer based methods, InProceedings, Text, doc-type:ResearchArticle, publishedVersion |
DOI: | 10.4230.LIPIcs.WABI.2022.2 |
URL: | Is Part Of LIPIcs, Volume 242, 22nd International Workshop on Algorithms in Bioinformatics (WABI 2022) |
الاتاحة: | Open access content. Open access content https://creativecommons.org/licenses/by/4.0/legalcode |
ملاحظة: | application/pdf English |
Other Numbers: | DEDAG oai:drops-oai.dagstuhl.de:17036 doi:10.4230/LIPIcs.WABI.2022.2 urn:nbn:de:0030-drops-170361 1358732491 |
المصدر المساهم: | SCHLOSS DAGSTUHL LEIBNIZ ZENTRUM GMBH From OAIster®, provided by the OCLC Cooperative. |
رقم الانضمام: | edsoai.on1358732491 |
قاعدة البيانات: | OAIster |
DOI: | 10.4230.LIPIcs.WABI.2022.2 |
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