Results 41 to 50 of about 10,955,529 (276)

Categorization of species based on their microRNAs employing sequence motifs, information-theoretic sequence feature extraction, and k-mers

open access: yesEURASIP Journal on Advances in Signal Processing, 2017
Background Diseases like cancer can manifest themselves through changes in protein abundance, and microRNAs (miRNAs) play a key role in the modulation of protein quantity.
Malik Yousef   +4 more
doaj   +2 more sources

Recombination spot identification Based on gapped k-mers. [PDF]

open access: yesSci Rep, 2016
AbstractRecombination is crucial for biological evolution, which provides many new combinations of genetic diversity. Accurate identification of recombination spots is useful for DNA function study. To improve the prediction accuracy, researchers have proposed several computational methods for recombination spot identification.
Wang R, Xu Y, Liu B.
europepmc   +3 more sources

Inter-chromosomal k-mer distances [PDF]

open access: yesBMC Genomics, 2021
Abstract Background Inversion Symmetry is a generalization of the second Chargaff rule, stating that the count of a string of k nucleotides on a single chromosomal strand equals the count of its inverse (reverse-complement) k-mer.
Alon Kafri, Benny Chor, David Horn
openaire   +4 more sources

Computing Phylo-k-Mers

open access: yesIEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023
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 assuming a phylogenetic model of sequence evolution, we can compute a probability score for any given k-mer at any given ...
Romashchenko, Nikolai   +4 more
openaire   +5 more sources

Robust $$k$$ k -mer frequency estimation using gapped $$k$$ k -mers [PDF]

open access: yesJournal of Mathematical Biology, 2013
Oligomers of fixed length, k, commonly known as k-mers, are often used as fundamental elements in the description of DNA sequence features of diverse biological function, or as intermediate elements in the constuction of more complex descriptors of sequence features such as position weight matrices.
Ghandi, Mahmoud   +2 more
openaire   +3 more sources

Enhanced regulatory sequence prediction using gapped k-mer features. [PDF]

open access: yesPLoS Computational Biology, 2014
Oligomers of length k, or k-mers, are convenient and widely used features for modeling the properties and functions of DNA and protein sequences. However, k-mers suffer from the inherent limitation that if the parameter k is increased to resolve longer ...
Mahmoud Ghandi   +3 more
doaj   +1 more source

Comparative analysis of DNA word abundances in four yeast genomes using a novel statistical background model. [PDF]

open access: yesPLoS ONE, 2013
Previous studies have shown that the identification and analysis of both abundant and rare k-mers or "DNA words of length k" in genomic sequences using suitable statistical background models can reveal biologically significant sequence elements.
Ramkumar Hariharan   +3 more
doaj   +1 more source

A Computational Framework for Pattern Detection on Unaligned Sequences: An Application on SARS-CoV-2 Data

open access: yesFrontiers in Genetics, 2021
The exponential growth of genome sequences available has spurred research on pattern detection with the aim of extracting evolutionary signal. Traditional approaches, such as multiple sequence alignment, rely on positional homology in order to ...
Nikolaos Pechlivanis   +6 more
doaj   +1 more source

TahcoRoll: fast genomic signature profiling via thinned automaton and rolling hash

open access: yesMedical Review, 2021
Genomic signatures like k-mers have become one of the most prominent approaches to describe genomic data. As a result, myriad real-world applications, such as the construction of de Bruijn graphs in genome assembly, have been benefited by recognizing ...
Ju Chelsea J.-T.   +4 more
doaj   +1 more source

Determining population structure from k-mer frequencies

open access: yesProceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, 2022
Abstract Background: Understanding population structure within species provides information on connections among different populations and how they evolve over time. This knowledge is important for studies ranging from evolutionary biology to large-scale variant-trait association studies.
Yana Hrytsenko   +2 more
openaire   +3 more sources

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