Results 11 to 20 of about 10,955,529 (276)

MicroRNA categorization using sequence motifs and k-mers. [PDF]

open access: yesBMC Bioinformatics, 2017
Post-transcriptional gene dysregulation can be a hallmark of diseases like cancer and microRNAs (miRNAs) play a key role in the modulation of translation efficiency.
Yousef M, Khalifa W, Acar İE, Allmer J.
europepmc   +7 more sources

CoMeta: classification of metagenomes using k-mers. [PDF]

open access: yesPLoS ONE, 2015
Nowadays, the study of environmental samples has been developing rapidly. Characterization of the environment composition broadens the knowledge about the relationship between species composition and environmental conditions.
Jolanta Kawulok, Sebastian Deorowicz
doaj   +6 more sources

EPIK: precise and scalable evolutionary placement with informative k-mers. [PDF]

open access: yesBioinformatics, 2023
Motivation Phylogenetic placement enables phylogenetic analysis of massive collections of newly sequenced DNA, when de novo tree inference is too unreliable or inefficient. Assuming that a high-quality reference tree is available, the idea is to seek the
Romashchenko N   +3 more
europepmc   +2 more sources

Plasmer: an Accurate and Sensitive Bacterial Plasmid Prediction Tool Based on Machine Learning of Shared k-mers and Genomic Features. [PDF]

open access: yesMicrobiol Spectr, 2023
In this study, we proposed a novel plasmid prediction tool named Plasmer. Technically, unlike existing k-mer or genomic features-based methods, Plasmer is the first tool to combine the advantages of the percent of shared k-mers and the alignment score of
Zhu Q, Gao S, Xiao B, He Z, Hu S.
europepmc   +2 more sources

Locality-preserving minimal perfect hashing of k-mers. [PDF]

open access: yesBioinformatics, 2023
Motivation Minimal perfect hashing is the problem of mapping a static set of n distinct keys into the address space {1,…,n} bijectively. It is well-known that n log 2(e) bits are necessary to specify a minimal perfect hash function (MPHF) f, when no ...
Pibiri GE, Shibuya Y, Limasset A.
europepmc   +3 more sources

Phenetic Comparison of Prokaryotic Genomes Using k-mers. [PDF]

open access: yesMol Biol Evol, 2017
Bacterial genomics studies are getting more extensive and complex, requiring new ways to envision analyses. Using the Ray Surveyor software, we demonstrate that comparison of genomes based on their k-mer content allows reconstruction of phenetic trees ...
Déraspe M   +6 more
europepmc   +5 more sources

General encoding of canonical k-mers

open access: yesPeer Community Journal, 2023
To index or compare sequences efficiently, often k-mers, i.e., substrings of fixed length k, are used. For efficient indexing or storage, k-mers are often encoded as integers, e.g., applying some bijective mapping between all possible σk k-mers and the ...
Wittler, Roland
doaj   +2 more sources

On weighted k-mer dictionaries

open access: yesAlgorithms for Molecular Biology, 2023
We consider the problem of representing a set of $$k$$ k -mers and their abundance counts, or weights, in compressed space so that assessing membership and retrieving the weight of a $$k$$ k -mer is efficient.
Giulio Ermanno Pibiri
doaj   +9 more sources

Flexible protein database based on amino acid k-mers. [PDF]

open access: yesSci Rep, 2022
Identification of proteins is one of the most computationally intensive steps in genomics studies. It usually relies on aligners that do not accommodate rich information on proteins and require additional pipelining steps for protein identification.
Déraspe M   +4 more
europepmc   +2 more sources

SAKE: Strobemer-assisted k-mer extraction.

open access: yesPLoS ONE, 2023
K-mer-based analysis plays an important role in many bioinformatics applications, such as de novo assembly, sequencing error correction, and genotyping.
Miika Leinonen, Leena Salmela
doaj   +5 more sources

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