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Related papers: Genome assembly, from practice to theory: safe, co…

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We study the problem of connecting the parts of a multipartite graph using a minimum number of edges under a matching constraint. We introduce interconnection trees, defined as matchings whose projections onto the quotient graph form a…

Computational Complexity · Computer Science 2026-05-19 Noé Demange , Yann Strozecki

Motivation: Second generation sequencing technology makes it feasible for many researches to obtain enough sequence reads to attempt the de novo assembly of higher eukaryotes (including mammals). De novo assembly not only provides a tool…

Genomics · Quantitative Biology 2010-08-17 Thomas C Conway , Andrew J Bromage

Given $n$ points in the plane, we propose algorithms to compile connected crossing-free geometric graphs into directed acyclic graphs (DAGs). The DAGs allow efficient counting, enumeration, random sampling, and optimization. Our algorithms…

Computational Geometry · Computer Science 2020-01-27 Yu Nakahata , Takashi Horiyama , Shin-ichi Minato , Katsuhisa Yamanaka

Given a graph $G$, the maximal induced subgraphs problem asks to enumerate all maximal induced subgraphs of $G$ that belong to a certain hereditary graph class. While its optimization version, known as the minimum vertex deletion problem in…

Data Structures and Algorithms · Computer Science 2020-04-22 Yixin Cao

Assembling genomic sequences from a set of overlapping reads is one of the most fundamental problems in computational biology. Algorithms addressing the assembly problem fall into two broad categories -- based on the data structures which…

Data Structures and Algorithms · Computer Science 2010-03-10 Vamsi Kundeti , Sanguthevar Rajasekaran , Hieu Dinh

We present a data structure called a history graph that offers a practical basis for the analysis of genome evolution. It conceptually simplifies the study of parsimonious evolutionary histories by representing both substitutions and double…

Genomics · Quantitative Biology 2014-05-13 Benedict Paten , Daniel R. Zerbino , Glenn Hickey , David Haussler

Motivation: Eugene Myers in his string graph paper (Myers, 2005) suggested that in a string graph or equivalently a unitig graph, any path spells a valid assembly. As a string/unitig graph also encodes every valid assembly of reads, such a…

Genomics · Quantitative Biology 2012-05-11 Heng Li

Background Next Generation Sequencing (NGS) has dramatically enhanced our ability to sequence genomes, but not to assemble them. In practice, many published genome sequences remain in the state of a large set of contigs. Each contig…

Data Structures and Algorithms · Computer Science 2018-02-14 Antoine Limasset , Bastien Cazaux , Eric Rivals , Pierre Peterlongo

Reconstructing components of a genomic mixture from data obtained by means of DNA sequencing is a challenging problem encountered in a variety of applications including single individual haplotyping and studies of viral communities.…

Genomics · Quantitative Biology 2019-11-14 Ziqi Ke , Haris Vikalo

In this paper we further investigate the well-studied problem of finding a perfect matching in a regular bipartite graph. The first non-trivial algorithm, with running time $O(mn)$, dates back to K\"{o}nig's work in 1916 (here $m=nd$ is the…

Data Structures and Algorithms · Computer Science 2008-11-18 Ashish Goel , Michael Kapralov , Sanjeev Khanna

Background - The process of generating raw genome sequence data continues to become cheaper, faster, and more accurate. However, assembly of such data into high-quality, finished genome sequences remains challenging. Many genome assembly…

Genomics · Quantitative Biology 2015-02-02 Keith R. Bradnam , Joseph N. Fass , Anton Alexandrov , Paul Baranay , Michael Bechner , İnanç Birol , Sébastien Boisvert , Jarrod A. Chapman , Guillaume Chapuis , Rayan Chikhi , Hamidreza Chitsaz , Wen-Chi Chou , Jacques Corbeil , Cristian Del Fabbro , T. Roderick Docking , Richard Durbin , Dent Earl , Scott Emrich , Pavel Fedotov , Nuno A. Fonseca , Ganeshkumar Ganapathy , Richard A. Gibbs , Sante Gnerre , Élénie Godzaridis , Steve Goldstein , Matthias Haimel , Giles Hall , David Haussler , Joseph B. Hiatt , Isaac Y. Ho , Jason Howard , Martin Hunt , Shaun D. Jackman , David B Jaffe , Erich Jarvis , Huaiyang Jiang , Sergey Kazakov , Paul J. Kersey , Jacob O. Kitzman , James R. Knight , Sergey Koren , Tak-Wah Lam , Dominique Lavenier , François Laviolette , Yingrui Li , Zhenyu Li , Binghang Liu , Yue Liu , Ruibang Luo , Iain MacCallum , Matthew D MacManes , Nicolas Maillet , Sergey Melnikov , Bruno Miguel Vieira , Delphine Naquin , Zemin Ning , Thomas D. Otto , Benedict Paten , Octávio S. Paulo , Adam M. Phillippy , Francisco Pina-Martins , Michael Place , Dariusz Przybylski , Xiang Qin , Carson Qu , Filipe J Ribeiro , Stephen Richards , Daniel S. Rokhsar , J. Graham Ruby , Simone Scalabrin , Michael C. Schatz , David C. Schwartz , Alexey Sergushichev , Ted Sharpe , Timothy I. Shaw , Jay Shendure , Yujian Shi , Jared T. Simpson , Henry Song , Fedor Tsarev , Francesco Vezzi , Riccardo Vicedomini , Jun Wang , Kim C. Worley , Shuangye Yin , Siu-Ming Yiu , Jianying Yuan , Guojie Zhang , Hao Zhang , Shiguo Zhou , Ian F. Korf

Graph embedding, representing local and global neighborhood information by numerical vectors, is a crucial part of the mathematical modeling of a wide range of real-world systems. Among the embedding algorithms, random walk-based algorithms…

Social and Information Networks · Computer Science 2022-07-06 Sarmad N. Mohammed , Semra Gündüç

Dense subgraphs of sparse graphs (communities), which appear in most real-world complex networks, play an important role in many contexts. Computing them however is generally expensive. We propose here a measure of similarities between…

Physics and Society · Physics 2007-05-23 Pascal Pons , Matthieu Latapy

Maximal clique enumeration is a fundamental graph mining task, but its utility is often limited by computational intractability and highly redundant output. To address these challenges, we introduce \emph{$\rho$-dense aggregators}, a novel…

Data Structures and Algorithms · Computer Science 2025-12-04 Noga Alon , Sabyasachi Basu , Shweta Jain , Haim Kaplan , Jakub Łącki , Blair D. Sullivan

In this study, we explore how quantum pathfinding algorithm called Gaussian Amplitude Amplification (GAA) can be used to solve the DNA sequencing problem. To do this, sequencing by hybridization was assumed wherein short fragments of the…

Mesoscale and Nanoscale Physics · Physics 2023-11-01 Richard Marin , Carlos Baldo

DNA self-assembly is an important tool that has a wide range of applications such as building nanostructures, the transport of target virotherapies, and nano-circuitry. Tools from graph theory can be used to encode the biological process of…

Combinatorics · Mathematics 2023-10-09 Cory Johnson , Andrew Lavengood-Ryan

A team consisting of an unknown number of mobile agents, starting from different nodes of an unknown network, possibly at different times, have to meet at the same node. Agents are anonymous (identical), execute the same deterministic…

Data Structures and Algorithms · Computer Science 2016-03-15 Yoann Dieudonné , Andrzej Pelc

Identification of functional elements of a genome often requires dividing a sequence of measurements along a genome into segments differing from adjacent segments. In many applications, the mean of the measured values at multiple genomic…

Applications · Statistics 2015-06-30 S. B. Girimurugan , Jonathan Dennis , Jinfeng Zhang

Recently, Marcus et al. (Bioinformatics 2014) proposed to use a compressed de Bruijn graph to describe the relationship between the genomes of many individuals/strains of the same or closely related species. They devised an $O(n \log g)$…

Data Structures and Algorithms · Computer Science 2016-02-11 Timo Beller , Enno Ohlebusch

Mining cohesive subgraphs from a graph is a fundamental problem in graph data analysis. One notable cohesive structure is $\gamma$-quasi-clique (QC), where each vertex connects at least a fraction $\gamma$ of the other vertices inside.…

Databases · Computer Science 2023-08-29 Kaiqiang Yu , Cheng Long