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Documents authored by Mäkinen, Veli

Document
DOI: 10.4230/LIPIcs.WABI.2023.10
Finding Maximal Exact Matches in Graphs

Authors: Nicola Rizzo, Manuel Cáceres, and Veli Mäkinen

Published in: LIPIcs, Volume 273, 23rd International Workshop on Algorithms in Bioinformatics (WABI 2023)

Abstract
We study the problem of finding maximal exact matches (MEMs) between a query string Q and a labeled graph G. MEMs are an important class of seeds, often used in seed-chain-extend type of practical alignment methods because of their strong connections to classical metrics. A principled way to speed up chaining is to limit the number of MEMs by considering only MEMs of length at least κ (κ-MEMs). However, on arbitrary input graphs, the problem of finding MEMs cannot be solved in truly sub-quadratic time under SETH (Equi et al., ICALP 2019) even on acyclic graphs. In this paper we show an O(n⋅ L ⋅ d^{L-1} + m + M_{κ,L})-time algorithm finding all κ-MEMs between Q and G spanning exactly L nodes in G, where n is the total length of node labels, d is the maximum degree of a node in G, m = |Q|, and M_{κ,L} is the number of output MEMs. We use this algorithm to develop a κ-MEM finding solution on indexable Elastic Founder Graphs (Equi et al., Algorithmica 2022) running in time O(nH² + m + M_κ), where H is the maximum number of nodes in a block, and M_κ is the total number of κ-MEMs. Our results generalize to the analysis of multiple query strings (MEMs between G and any of the strings). Additionally, we provide some preliminary experimental results showing that the number of graph MEMs is an order of magnitude smaller than the number of string MEMs of the corresponding concatenated collection.
Cite as

Nicola Rizzo, Manuel Cáceres, and Veli Mäkinen. Finding Maximal Exact Matches in Graphs. In 23rd International Workshop on Algorithms in Bioinformatics (WABI 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 273, pp. 10:1-10:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{rizzo_et_al:LIPIcs.WABI.2023.10,
  author =	{Rizzo, Nicola and C\'{a}ceres, Manuel and M\"{a}kinen, Veli},
  title =	{{Finding Maximal Exact Matches in Graphs}},
  booktitle =	{23rd International Workshop on Algorithms in Bioinformatics (WABI 2023)},
  pages =	{10:1--10:17},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-294-5},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{273},
  editor =	{Belazzougui, Djamal and Ouangraoua, A\"{i}da},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.WABI.2023.10},
  URN =		{urn:nbn:de:0030-drops-186364},
  doi =		{10.4230/LIPIcs.WABI.2023.10},
  annote =	{Keywords: Sequence to graph alignment, bidirectional BWT, r-index, suffix tree, founder graphs}
}
Document
DOI: 10.4230/LIPIcs.CPM.2023.9
From Bit-Parallelism to Quantum String Matching for Labelled Graphs

Authors: Massimo Equi, Arianne Meijer-van de Griend, and Veli Mäkinen

Published in: LIPIcs, Volume 259, 34th Annual Symposium on Combinatorial Pattern Matching (CPM 2023)

Abstract
Many problems that can be solved in quadratic time have bit-parallel speed-ups with factor w, where w is the computer word size. A classic example is computing the edit distance of two strings of length n, which can be solved in O(n²/w) time. In a reasonable classical model of computation, one can assume w = Θ(log n), and obtaining significantly better speed-ups is unlikely in the light of conditional lower bounds obtained for such problems. In this paper, we study the connection of bit-parallelism to quantum computation, aiming to see if a bit-parallel algorithm could be converted to a quantum algorithm with better than logarithmic speed-up. We focus on string matching in labeled graphs, the problem of finding an exact occurrence of a string as the label of a path in a graph. This problem admits a quadratic conditional lower bound under a very restricted class of graphs (Equi et al. ICALP 2019), stating that no algorithm in the classical model of computation can solve the problem in time O(|P||E|^(1-ε)) or O(|P|^(1-ε)|E|). We show that a simple bit-parallel algorithm on such restricted family of graphs (level DAGs) can indeed be converted into a realistic quantum algorithm that attains subquadratic time complexity O(|E|√|P|).
Cite as

Massimo Equi, Arianne Meijer-van de Griend, and Veli Mäkinen. From Bit-Parallelism to Quantum String Matching for Labelled Graphs. In 34th Annual Symposium on Combinatorial Pattern Matching (CPM 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 259, pp. 9:1-9:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{equi_et_al:LIPIcs.CPM.2023.9,
  author =	{Equi, Massimo and Meijer-van de Griend, Arianne and M\"{a}kinen, Veli},
  title =	{{From Bit-Parallelism to Quantum String Matching for Labelled Graphs}},
  booktitle =	{34th Annual Symposium on Combinatorial Pattern Matching (CPM 2023)},
  pages =	{9:1--9:20},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-276-1},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{259},
  editor =	{Bulteau, Laurent and Lipt\'{a}k, Zsuzsanna},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CPM.2023.9},
  URN =		{urn:nbn:de:0030-drops-179637},
  doi =		{10.4230/LIPIcs.CPM.2023.9},
  annote =	{Keywords: Bit-parallelism, quantum computation, string matching, level DAGs}
}
Document
DOI: 10.4230/LIPIcs.CPM.2022.19
Indexable Elastic Founder Graphs of Minimum Height

Authors: Nicola Rizzo and Veli Mäkinen

Published in: LIPIcs, Volume 223, 33rd Annual Symposium on Combinatorial Pattern Matching (CPM 2022)

Abstract
Indexable elastic founder graphs have been recently proposed as a data structure for genomics applications supporting fast pattern matching queries. Consider segmenting a multiple sequence alignment MSA[1..m,1..n] into b blocks MSA[1..m,1..j₁], MSA[1..m,j₁+1..j₂], …, MSA[1..m,j_{b-1}+1..n]. The resulting elastic founder graph (EFG) is obtained by merging in each block the strings that are equivalent after the removal of gap symbols, taking the strings as the nodes of the block and the original MSA connections as edges. We call an elastic founder graph indexable if a node label occurs as a prefix of only those paths that start from a node of the same block. Equi et al. (ISAAC 2021) showed that such EFGs support fast pattern matching and studied their construction maximizing the number of blocks and minimizing the maximum length of a block, but left open the case of minimizing the maximum number of distinct strings in a block that we call graph height. For the simplified gapless setting, we give an O(mn) time algorithm to find a segmentation of an MSA minimizing the height of the resulting indexable founder graph, by combining previous results in segmentation algorithms and founder graphs. For the general setting, the known techniques yield a linear-time parameterized solution on constant alphabet Σ, taking time O(m n² log|Σ|) in the worst case, so we study the refined measure of prefix-aware height, that omits counting strings that are prefixes of another considered string. The indexable EFG minimizing the maximum prefix-aware height provides a lower bound for the original height: by exploiting exploiting suffix trees built from the MSA rows and the data structure answering weighted ancestor queries in constant time of Belazzougui et al. (CPM 2021), we give an O(mn)-time algorithm for the optimal EFG under this alternative height.
Cite as

Nicola Rizzo and Veli Mäkinen. Indexable Elastic Founder Graphs of Minimum Height. In 33rd Annual Symposium on Combinatorial Pattern Matching (CPM 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 223, pp. 19:1-19:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@InProceedings{rizzo_et_al:LIPIcs.CPM.2022.19,
  author =	{Rizzo, Nicola and M\"{a}kinen, Veli},
  title =	{{Indexable Elastic Founder Graphs of Minimum Height}},
  booktitle =	{33rd Annual Symposium on Combinatorial Pattern Matching (CPM 2022)},
  pages =	{19:1--19:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-234-1},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{223},
  editor =	{Bannai, Hideo and Holub, Jan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CPM.2022.19},
  URN =		{urn:nbn:de:0030-drops-161467},
  doi =		{10.4230/LIPIcs.CPM.2022.19},
  annote =	{Keywords: multiple sequence alignment, pattern matching, data structures, segmentation algorithms, dynamic programming, suffix tree}
}
Document
DOI: 10.4230/LIPIcs.ISAAC.2021.20
Algorithms and Complexity on Indexing Elastic Founder Graphs

Authors: Massimo Equi, Tuukka Norri, Jarno Alanko, Bastien Cazaux, Alexandru I. Tomescu, and Veli Mäkinen

Published in: LIPIcs, Volume 212, 32nd International Symposium on Algorithms and Computation (ISAAC 2021)

Abstract
We study the problem of matching a string in a labeled graph. Previous research has shown that unless the Orthogonal Vectors Hypothesis (OVH) is false, one cannot solve this problem in strongly sub-quadratic time, nor index the graph in polynomial time to answer queries efficiently (Equi et al. ICALP 2019, SOFSEM 2021). These conditional lower-bounds cover even deterministic graphs with binary alphabet, but there naturally exist also graph classes that are easy to index: E.g. Wheeler graphs (Gagie et al. Theor. Comp. Sci. 2017) cover graphs admitting a Burrows-Wheeler transform -based indexing scheme. However, it is NP-complete to recognize if a graph is a Wheeler graph (Gibney, Thankachan, ESA 2019). We propose an approach to alleviate the construction bottleneck of Wheeler graphs. Rather than starting from an arbitrary graph, we study graphs induced from multiple sequence alignments. Elastic degenerate strings (Bernadini et al. SPIRE 2017, ICALP 2019) can be seen as such graphs, and we introduce here their generalization: elastic founder graphs. We first prove that even such induced graphs are hard to index under OVH. Then we introduce two subclasses that are easy to index. Moreover, we give a near-linear time algorithm to construct indexable elastic founder graphs. This algorithm is based on an earlier segmentation algorithm for gapless multiple sequence alignments inducing non-elastic founder graphs (Mäkinen et al., WABI 2020), but uses more involved techniques to cope with repetitive string collections synchronized with gaps. Finally, we show that one of the subclasses admits a reduction to Wheeler graphs in polynomial time.
Cite as

Massimo Equi, Tuukka Norri, Jarno Alanko, Bastien Cazaux, Alexandru I. Tomescu, and Veli Mäkinen. Algorithms and Complexity on Indexing Elastic Founder Graphs. In 32nd International Symposium on Algorithms and Computation (ISAAC 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 212, pp. 20:1-20:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{equi_et_al:LIPIcs.ISAAC.2021.20,
  author =	{Equi, Massimo and Norri, Tuukka and Alanko, Jarno and Cazaux, Bastien and Tomescu, Alexandru I. and M\"{a}kinen, Veli},
  title =	{{Algorithms and Complexity on Indexing Elastic Founder Graphs}},
  booktitle =	{32nd International Symposium on Algorithms and Computation (ISAAC 2021)},
  pages =	{20:1--20:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-214-3},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{212},
  editor =	{Ahn, Hee-Kap and Sadakane, Kunihiko},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2021.20},
  URN =		{urn:nbn:de:0030-drops-154532},
  doi =		{10.4230/LIPIcs.ISAAC.2021.20},
  annote =	{Keywords: orthogonal vectors hypothesis, multiple sequence alignment, segmentation}
}
Document
DOI: 10.4230/LIPIcs.WABI.2020.7
Linear Time Construction of Indexable Founder Block Graphs

Authors: Veli Mäkinen, Bastien Cazaux, Massimo Equi, Tuukka Norri, and Alexandru I. Tomescu

Published in: LIPIcs, Volume 172, 20th International Workshop on Algorithms in Bioinformatics (WABI 2020)

Abstract
We introduce a compact pangenome representation based on an optimal segmentation concept that aims to reconstruct founder sequences from a multiple sequence alignment (MSA). Such founder sequences have the feature that each row of the MSA is a recombination of the founders. Several linear time dynamic programming algorithms have been previously devised to optimize segmentations that induce founder blocks that then can be concatenated into a set of founder sequences. All possible concatenation orders can be expressed as a founder block graph. We observe a key property of such graphs: if the node labels (founder segments) do not repeat in the paths of the graph, such graphs can be indexed for efficient string matching. We call such graphs segment repeat-free founder block graphs. We give a linear time algorithm to construct a segment repeat-free founder block graph given an MSA. The algorithm combines techniques from the founder segmentation algorithms (Cazaux et al. SPIRE 2019) and fully-functional bidirectional Burrows-Wheeler index (Belazzougui and Cunial, CPM 2019). We derive a succinct index structure to support queries of arbitrary length in the paths of the graph. Experiments on an MSA of SARS-CoV-2 strains are reported. An MSA of size 410× 29811 is compacted in one minute into a segment repeat-free founder block graph of 3900 nodes and 4440 edges. The maximum length and total length of node labels is 12 and 34968, respectively. The index on the graph takes only 3% of the size of the MSA.
Cite as

Veli Mäkinen, Bastien Cazaux, Massimo Equi, Tuukka Norri, and Alexandru I. Tomescu. Linear Time Construction of Indexable Founder Block Graphs. In 20th International Workshop on Algorithms in Bioinformatics (WABI 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 172, pp. 7:1-7:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@InProceedings{makinen_et_al:LIPIcs.WABI.2020.7,
  author =	{M\"{a}kinen, Veli and Cazaux, Bastien and Equi, Massimo and Norri, Tuukka and Tomescu, Alexandru I.},
  title =	{{Linear Time Construction of Indexable Founder Block Graphs}},
  booktitle =	{20th International Workshop on Algorithms in Bioinformatics (WABI 2020)},
  pages =	{7:1--7:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-161-0},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{172},
  editor =	{Kingsford, Carl and Pisanti, Nadia},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.WABI.2020.7},
  URN =		{urn:nbn:de:0030-drops-127961},
  doi =		{10.4230/LIPIcs.WABI.2020.7},
  annote =	{Keywords: Pangenome indexing, founder reconstruction, multiple sequence alignment, compressed data structures, string matching}
}
Document
DOI: 10.4230/LIPIcs.CPM.2020.25
Chaining with Overlaps Revisited

Authors: Veli Mäkinen and Kristoffer Sahlin

Published in: LIPIcs, Volume 161, 31st Annual Symposium on Combinatorial Pattern Matching (CPM 2020)

Abstract
Chaining algorithms aim to form a semi-global alignment of two sequences based on a set of anchoring local alignments as input. Depending on the optimization criteria and the exact definition of a chain, there are several O(n log n) time algorithms to solve this problem optimally, where n is the number of input anchors. In this paper, we focus on a formulation allowing the anchors to overlap in a chain. This formulation was studied by Shibuya and Kurochkin (WABI 2003), but their algorithm comes with no proof of correctness. We revisit and modify their algorithm to consider a strict definition of precedence relation on anchors, adding the required derivation to convince on the correctness of the resulting algorithm that runs in O(n log² n) time on anchors formed by exact matches. With the more relaxed definition of precedence relation considered by Shibuya and Kurochkin or when anchors are non-nested such as matches of uniform length (k-mers), the algorithm takes O(n log n) time. We also establish a connection between chaining with overlaps and the widely studied longest common subsequence problem.
Cite as

Veli Mäkinen and Kristoffer Sahlin. Chaining with Overlaps Revisited. In 31st Annual Symposium on Combinatorial Pattern Matching (CPM 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 161, pp. 25:1-25:12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@InProceedings{makinen_et_al:LIPIcs.CPM.2020.25,
  author =	{M\"{a}kinen, Veli and Sahlin, Kristoffer},
  title =	{{Chaining with Overlaps Revisited}},
  booktitle =	{31st Annual Symposium on Combinatorial Pattern Matching (CPM 2020)},
  pages =	{25:1--25:12},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-149-8},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{161},
  editor =	{G{\o}rtz, Inge Li and Weimann, Oren},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CPM.2020.25},
  URN =		{urn:nbn:de:0030-drops-121500},
  doi =		{10.4230/LIPIcs.CPM.2020.25},
  annote =	{Keywords: Sparse Dynamic Programming, Chaining, Maximal Exact Matches, Longest Common Subsequence}
}
Document
Track A: Algorithms, Complexity and Games
DOI: 10.4230/LIPIcs.ICALP.2019.55
On the Complexity of String Matching for Graphs

Authors: Massimo Equi, Roberto Grossi, Veli Mäkinen, and Alexandru I. Tomescu

Published in: LIPIcs, Volume 132, 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019)

Abstract
Exact string matching in labeled graphs is the problem of searching paths of a graph G=(V,E) such that the concatenation of their node labels is equal to the given pattern string P[1..m]. This basic problem can be found at the heart of more complex operations on variation graphs in computational biology, of query operations in graph databases, and of analysis operations in heterogeneous networks. We prove a conditional lower bound stating that, for any constant epsilon>0, an O(|E|^{1 - epsilon} m)-time, or an O(|E| m^{1 - epsilon})-time algorithm for exact string matching in graphs, with node labels and patterns drawn from a binary alphabet, cannot be achieved unless the Strong Exponential Time Hypothesis (SETH) is false. This holds even if restricted to undirected graphs with maximum node degree two, i.e. to zig-zag matching in bidirectional strings, or to deterministic directed acyclic graphs whose nodes have maximum sum of indegree and outdegree three. These restricted cases make the lower bound stricter than what can be directly derived from related bounds on regular expression matching (Backurs and Indyk, FOCS'16). In fact, our bounds are tight in the sense that lowering the degree or the alphabet size yields linear-time solvable problems. An interesting corollary is that exact and approximate matching are equally hard (quadratic time) in graphs under SETH. In comparison, the same problems restricted to strings have linear-time vs quadratic-time solutions, respectively (approximate pattern matching having also a matching SETH lower bound (Backurs and Indyk, STOC'15)).
Cite as

Massimo Equi, Roberto Grossi, Veli Mäkinen, and Alexandru I. Tomescu. On the Complexity of String Matching for Graphs. In 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 132, pp. 55:1-55:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@InProceedings{equi_et_al:LIPIcs.ICALP.2019.55,
  author =	{Equi, Massimo and Grossi, Roberto and M\"{a}kinen, Veli and Tomescu, Alexandru I.},
  title =	{{On the Complexity of String Matching for Graphs}},
  booktitle =	{46th International Colloquium on Automata, Languages, and Programming (ICALP 2019)},
  pages =	{55:1--55:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-109-2},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{132},
  editor =	{Baier, Christel and Chatzigiannakis, Ioannis and Flocchini, Paola and Leonardi, Stefano},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2019.55},
  URN =		{urn:nbn:de:0030-drops-106314},
  doi =		{10.4230/LIPIcs.ICALP.2019.55},
  annote =	{Keywords: exact pattern matching, graph query, graph search, labeled graphs, string matching, string search, strong exponential time hypothesis, heterogeneous networks, variation graphs}
}
Document
DOI: 10.4230/LIPIcs.WABI.2018.15
Minimum Segmentation for Pan-genomic Founder Reconstruction in Linear Time

Authors: Tuukka Norri, Bastien Cazaux, Dmitry Kosolobov, and Veli Mäkinen

Published in: LIPIcs, Volume 113, 18th International Workshop on Algorithms in Bioinformatics (WABI 2018)

Abstract
Given a threshold L and a set R = {R_1, ..., R_m} of m strings (haplotype sequences), each having length n, the minimum segmentation problem for founder reconstruction is to partition [1,n] into set P of disjoint segments such that each segment [a,b] in P has length at least L and the number d(a,b)=|{R_i[a,b] : 1 <= i <= m}| of distinct substrings at segment [a,b] is minimized over [a,b] in P. The distinct substrings in the segments represent founder blocks that can be concatenated to form max{d(a,b) : [a,b] in P} founder sequences representing the original R such that crossovers happen only at segment boundaries. We give an optimal O(mn) time algorithm to solve the problem, improving over earlier O(mn^2). This improvement enables to exploit the algorithm on a pan-genomic setting of input strings being aligned haplotype sequences of complete human chromosomes, with a goal of finding a representative set of references that can be indexed for read alignment and variant calling. We implemented the new algorithm and give some experimental evidence on the practicality of the approach on this pan-genomic setting.
Cite as

Tuukka Norri, Bastien Cazaux, Dmitry Kosolobov, and Veli Mäkinen. Minimum Segmentation for Pan-genomic Founder Reconstruction in Linear Time. In 18th International Workshop on Algorithms in Bioinformatics (WABI 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 113, pp. 15:1-15:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{norri_et_al:LIPIcs.WABI.2018.15,
  author =	{Norri, Tuukka and Cazaux, Bastien and Kosolobov, Dmitry and M\"{a}kinen, Veli},
  title =	{{Minimum Segmentation for Pan-genomic Founder Reconstruction in Linear Time}},
  booktitle =	{18th International Workshop on Algorithms in Bioinformatics (WABI 2018)},
  pages =	{15:1--15:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-082-8},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{113},
  editor =	{Parida, Laxmi and Ukkonen, Esko},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.WABI.2018.15},
  URN =		{urn:nbn:de:0030-drops-93175},
  doi =		{10.4230/LIPIcs.WABI.2018.15},
  annote =	{Keywords: Pan-genome indexing, founder reconstruction, dynamic programming, positional Burrows-Wheeler transform, range minimum query}
}
Document
DOI: 10.4230/DagSemProc.08261.6
An In-Memory XQuery/XPath Engine over a Compressed Structured Text Representation

Authors: Angela Bonifati, Gregory Leighton, Veli Mäkinen, Sebastian Maneth, Gonzalo Navarro, and Andrea Pugliese

Published in: Dagstuhl Seminar Proceedings, Volume 8261, Structure-Based Compression of Complex Massive Data (2008)

Abstract
We describe the architecture and main algorithmic design decisions for an XQuery/XPath processing engine over XML collections which will be represented using a self-indexing approach, that is, a compressed representation that will allow for basic searching and navigational operations in compressed form. The goal is a structure that occupies little space and thus permits manipulating large collections in main memory.
Cite as

Angela Bonifati, Gregory Leighton, Veli Mäkinen, Sebastian Maneth, Gonzalo Navarro, and Andrea Pugliese. An In-Memory XQuery/XPath Engine over a Compressed Structured Text Representation. In Structure-Based Compression of Complex Massive Data. Dagstuhl Seminar Proceedings, Volume 8261, pp. 1-17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{bonifati_et_al:DagSemProc.08261.6,
  author =	{Bonifati, Angela and Leighton, Gregory and M\"{a}kinen, Veli and Maneth, Sebastian and Navarro, Gonzalo and Pugliese, Andrea},
  title =	{{An In-Memory XQuery/XPath Engine over a Compressed Structured Text Representation}},
  booktitle =	{Structure-Based Compression of Complex Massive Data},
  pages =	{1--17},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8261},
  editor =	{Stefan B\"{o}ttcher and Markus Lohrey and Sebastian Maneth and Wojcieh Rytter},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08261.6},
  URN =		{urn:nbn:de:0030-drops-16776},
  doi =		{10.4230/DagSemProc.08261.6},
  annote =	{Keywords: Compressed self-index, compressed XML representation, XPath, XQuery}
}
Document
DOI: 10.4230/DagSemProc.08261.10
Storage and Retrieval of Individual Genomes

Authors: Veli Mäkinen, Gonzalo Navarro, Jouni Sirén, and Niko Välimäki

Published in: Dagstuhl Seminar Proceedings, Volume 8261, Structure-Based Compression of Complex Massive Data (2008)

Abstract
A repetitive sequence collection is one where portions of a emph{base sequence} of length $n$ are repeated many times with small variations, forming a collection of total length $N$. Examples of such collections are version control data and genome sequences of individuals, where the differences can be expressed by lists of basic edit operations. Flexible and efficient data analysis on a such typically huge collection is plausible using suffix trees. However, suffix tree occupies $O(N log N)$ bits, which very soon inhibits in-memory analyses. Recent advances in full-text emph{self-indexing} reduce the space of suffix tree to $O(N log sigma)$ bits, where $sigma$ is the alphabet size. In practice, the space reduction is more than $10$-fold for example on suffix tree of Human Genome. However, this reduction remains a constant factor when more sequences are added to the collection We develop a new self-index suited for the repetitive sequence collection setting. Its expected space requirement depends only on the length $n$ of the base sequence and the number $s$ of variations in its repeated copies. That is, the space reduction is no longer constant, but depends on $N/n$. We believe the structure developed in this work will provide a fundamental basis for storage and retrieval of individual genomes as they become available due to rapid progress in the sequencing technologies.
Cite as

Veli Mäkinen, Gonzalo Navarro, Jouni Sirén, and Niko Välimäki. Storage and Retrieval of Individual Genomes. In Structure-Based Compression of Complex Massive Data. Dagstuhl Seminar Proceedings, Volume 8261, pp. 1-14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{makinen_et_al:DagSemProc.08261.10,
  author =	{M\"{a}kinen, Veli and Navarro, Gonzalo and Sir\'{e}n, Jouni and V\"{a}lim\"{a}ki, Niko},
  title =	{{Storage and Retrieval of Individual Genomes}},
  booktitle =	{Structure-Based Compression of Complex Massive Data},
  pages =	{1--14},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8261},
  editor =	{Stefan B\"{o}ttcher and Markus Lohrey and Sebastian Maneth and Wojcieh Rytter},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08261.10},
  URN =		{urn:nbn:de:0030-drops-16743},
  doi =		{10.4230/DagSemProc.08261.10},
  annote =	{Keywords: Pattern matching, text indexing, compressed data structures, comparative genomics}
}
Document
DOI: 10.4230/DagSemProc.05471.5
Combinatorial Approaches for Mass Spectra Recalibration

Authors: Sebastian Böcker and Veli Mäkinen

Published in: Dagstuhl Seminar Proceedings, Volume 5471, Computational Proteomics (2006)

Abstract
Mass spectrometry has become one of the most popular analysis techniques in Proteomics and Systems Biology. With the creation of larger datasets, the automated recalibration of mass spectra becomes important to ensure that every peak in the sample spectrum is correctly assigned to some peptide and protein. Algorithms for recalibrating mass spectra have to be robust with respect to wrongly assigned peaks, as well as efficient due to the amount of mass spectrometry data. The recalibration of mass spectra leads us to the problem of finding an optimal matching between mass spectra under measurement errors. We have developed two deterministic methods that allow robust computation of such a matching: The first approach uses a computational geometry interpretation of the problem, and tries to find two parallel lines with constant distance that stab a maximal number of points in the plane. The second approach is based on finding a maximal common approximate subsequence, and improves existing algorithms by one order of magnitude exploiting the sequential nature of the matching problem. We compare our results to a computational geometry algorithm using a topological line-sweep.
Cite as

Sebastian Böcker and Veli Mäkinen. Combinatorial Approaches for Mass Spectra Recalibration. In Computational Proteomics. Dagstuhl Seminar Proceedings, Volume 5471, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{bocker_et_al:DagSemProc.05471.5,
  author =	{B\"{o}cker, Sebastian and M\"{a}kinen, Veli},
  title =	{{Combinatorial Approaches for Mass Spectra Recalibration}},
  booktitle =	{Computational Proteomics},
  pages =	{1--6},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5471},
  editor =	{Christian G. Huber and Oliver Kohlbacher and Knut Reinert},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05471.5},
  URN =		{urn:nbn:de:0030-drops-5455},
  doi =		{10.4230/DagSemProc.05471.5},
  annote =	{Keywords: Mass spectrometry recalibration computational geometry}
}
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