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Related papers: Data structures to represent a set of k-long DNA s…

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Phylogenetically informed k-mers, or phylo-k-mers for short, are k-mers that are predicted to appear within a given genomic region at predefined locations of a fixed phylogeny. Given a reference alignment for this genomic region and…

Quantitative Methods · Quantitative Biology 2022-09-21 Nikolai Romashchenko , Benjamin Linard , Fabio Pardi , Eric Rivals

The amount of non-unique sequence (non-singletons) in a genome directly affects the difficulty of read alignment to a reference assembly for high throughput-sequencing data. Although a greater length increases the chance for reads being…

Genomics · Quantitative Biology 2017-03-03 Wentian Li , Jan Freudenberg , Pedro Miramontes

Many commonly studied species now have more than one chromosome-scale genome assembly, revealing a large amount of genetic diversity previously missed by approaches that map short reads to a single reference. However, many species still…

Populations and Evolution · Quantitative Biology 2024-09-19 Miles D. Roberts , Olivia Davis , Emily B. Josephs , Robert J. Williamson

A major challenge in next-generation genome sequencing (NGS) is to assemble massive overlapping short reads that are randomly sampled from DNA fragments. To complete assembling, one needs to finish a fundamental task in many leading…

Genomics · Quantitative Biology 2015-05-26 Yang Li , XifengYan

Background: The inception of next generations sequencing technologies have exponentially increased the volume of biological sequence data. Protein sequences, being quoted as the `language of life', has been analyzed for a multitude of…

Quantitative Methods · Quantitative Biology 2020-12-08 Nabil Ibtehaz , S. M. Shakhawat Hossain Sourav , Md. Shamsuzzoha Bayzid , M. Sohel Rahman

String matching algorithm plays the vital role in the Computational Biology. The functional and structural relationship of the biological sequence is determined by similarities on that sequence. For that, the researcher is supposed to aware…

Data Structures and Algorithms · Computer Science 2014-01-30 Pandiselvam. P , Marimuthu. T , Lawrance. R

In the current world due to the huge demand for storage, DNA-based storage solution sounds quite promising because of their longevity, low power consumption, and high capacity. However in real life storing data in the form of DNA is quite…

Information Theory · Computer Science 2024-04-09 Sanket Doshi , Mihir Gohel , Manish K. Gupta

Background: With the fast development of next generation sequencing technologies, increasing numbers of genomes are being de novo sequenced and assembled. However, most are in fragmental and incomplete draft status, and thus it is often…

Genomics · Quantitative Biology 2020-02-28 Binghang Liu , Yujian Shi , Jianying Yuan , Xuesong Hu , Hao Zhang , Nan Li , Zhenyu Li , Yanxiang Chen , Desheng Mu , Wei Fan

This study introduces a novel approach, combining substruct counting, $k$-mers, and Daylight-like fingerprints, to expand the representation of chemical structures in SMILES strings. The integrated method generates comprehensive molecular…

Biomolecules · Quantitative Biology 2024-04-01 Sarwan Ali , Prakash Chourasia , Murray Patterson

In the realm of data analysis and bioinformatics, representing time series data in a manner akin to biological sequences offers a novel approach to leverage sequence analysis techniques. Transforming time series signals into molecular…

Machine Learning · Computer Science 2024-12-31 Sarwan Ali , Tamkanat E Ali , Imdad Ullah Khan , Murray Patterson

This paper describes a new asynchronous algorithm and implementation for the problem of k-mer counting (KC), which concerns quantifying the frequency of length k substrings in a DNA sequence. This operation is common to many computational…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-08 Souvadra Hati , Akihiro Hayashi , Richard Vuduc

The third-generation long reads sequencing technologies, such as PacBio and Nanopore, have great advantages over second-generation Illumina sequencing in de novo assembly studies. However, due to the inherent low base accuracy,…

Genomics · Quantitative Biology 2020-03-27 Hengchao Wang , Bo Liu , Yan Zhang , Fan Jiang , Yuwei Ren , Lijuan Yin , Hangwei Liu , Sen Wang , Wei Fan

We are in the era where the Big Data analytics has changed the way of interpreting the various biomedical phenomena, and as the generated data increase, the need for new machine learning methods to handle this evolution grows. An indicative…

Machine Learning · Computer Science 2020-12-04 Panagiotis Anagnostou , Petros T. Barmbas , Aristidis G. Vrahatis , Sotiris K. Tasoulis

Frequencies of $k$-mers in sequences are sometimes used as a basis for inferring phylogenetic trees without first obtaining a multiple sequence alignment. We show that a standard approach of using the squared-Euclidean distance between…

Populations and Evolution · Quantitative Biology 2016-01-15 Elizabeth S. Allman , John A. Rhodes , Seth Sullivant

Tools that effectively analyze and compare sequences are of great importance in various areas of applied computational research, especially in the framework of molecular biology. In the present paper, we introduce simple geometric criteria…

Quantitative Methods · Quantitative Biology 2013-08-14 Boris Brimkov , Valentin E. Brimkov

The concept of k-spectrum for genomes is here investigated as a basic tool to analyze genomes. Related spectral notions based on k-mers are introduced with some related mathematical properties which are relevant for informational analysis…

Computational Engineering, Finance, and Science · Computer Science 2021-06-30 Vincenzo Bonnici , Giuditta Franco , Vincenzo Manca

In biomedical applications of machine learning, relevant information often has a rich structure that is not easily encoded as real-valued predictors. Examples of such data include DNA or RNA sequences, gene sets or pathways, gene…

Genomics · Quantitative Biology 2019-10-16 Jake Crawford , Casey S. Greene

In this review paper, we delve into the nascent field of molecular data storage, focusing on system implementations and code constructions. We start by providing an overview of basic concepts in synthetic and computational biology.…

Emerging Technologies · Computer Science 2023-10-10 Olgica Milenkovic , Chao Pan

In this paper we study the structure of specific linear codes called DNA codes. The first attempts on studying such codes have been proposed over four element rings which are naturally matched with DNA four letters. Later, double (pair) DNA…

Combinatorics · Mathematics 2017-03-31 Fatmanur Gürsoy , Elif Segah Oztas , Irfan Siap

Sequence classification has numerous applications in various fields. Despite extensive studies in the last decades, many challenges still exist, particularly in pattern-based methods. Existing pattern-based methods measure the…

Machine Learning · Computer Science 2023-10-23 Junjie Dong , Mudi Jiang , Lianyu Hu , Zengyou He