Results 51 to 60 of about 411,688 (293)

Whole genome sequencing-based classification of human-related Haemophilus species and detection of antimicrobial resistance genes

open access: yesGenome Medicine, 2022
Background Bacteria belonging to the genus Haemophilus cause a wide range of diseases in humans. Recently, H. influenzae was classified by the WHO as priority pathogen due to the wide spread of ampicillin resistant strains. However, other Haemophilus spp.
Margo Diricks   +9 more
doaj   +1 more source

A comparison and evaluation of five biclustering algorithms by quantifying goodness of biclusters for gene expression data [PDF]

open access: yesBioData Mining, 2012
Abstract Background Several biclustering algorithms have been proposed to identify biclusters, in which genes share similar expression patterns across a number of conditions. However, different algorithms would yield different biclusters and further lead to distinct conclusions. Therefore, some testing and comparisons
Li Li   +5 more
openaire   +3 more sources

String Matching with Multicore CPUs: Performing Better with the Aho-Corasick Algorithm

open access: yes, 2014
Multiple string matching is known as locating all the occurrences of a given number of patterns in an arbitrary string. It is used in bio-computing applications where the algorithms are commonly used for retrieval of information such as sequence analysis
Arudchutha, S.   +2 more
core   +1 more source

Competent genetic-evolutionary optimization of water distribution systems [PDF]

open access: yes, 2001
A genetic algorithm has been applied to the optimal design and rehabilitation of a water distribution system. Many of the previous applications have been limited to small water distribution systems, where the computer time used for solving the problem ...
Simpson, A., Wu, Z.
core   +1 more source

An effective non-parametric method for globally clustering genes from expression profiles

open access: yes, 2007
Clustering is widely used in bioinformatics to find gene correlation patterns. Although many algorithms have been proposed, these are usually confronted with difficulties in meeting the requirements of both automation and high quality.
AK Jain   +20 more
core   +1 more source

FreePSI: an alignment-free approach to estimating exon-inclusion ratios without a reference transcriptome. [PDF]

open access: yes, 2017
Alternative splicing plays an important role in many cellular processes of eukaryotic organisms. The exon-inclusion ratio, also known as percent spliced in, is often regarded as one of the most effective measures of alternative splicing events.
Jiang, Tao   +4 more
core   +1 more source

An intracellular transporter mitigates the CO2‐induced decline in iron content in Arabidopsis shoots

open access: yesFEBS Letters, EarlyView.
This study identifies a gene encoding a transmembrane protein, MIC, which contributes to the reduction of shoot Fe content observed in plants under elevated CO2. MIC is a putative Fe transporter localized to the Golgi and endosomal compartments. Its post‐translational regulation in roots may represent a potential target for improving plant nutrition ...
Timothy Mozzanino   +7 more
wiley   +1 more source

Interval-value Based Particle Swarm Optimization algorithm for cancer-type specific gene selection and sample classification

open access: yesGenomics Data, 2015
Microarray technology allows simultaneous measurement of the expression levels of thousands of genes within a biological tissue sample. The fundamental power of microarrays lies within the ability to conduct parallel surveys of gene expression using ...
D. Ramyachitra, M. Sofia, P. Manikandan
doaj   +1 more source

Evolutionary Fuzzy Clustering Algorithm with Knowledge-Based Evaluation and Applications for Gene Expression Profiling

open access: yesJournal of Computational and Theoretical Nanoscience, 2005
In microarray data analysis, clustering is a method that groups thousands of genes by their similarities of expression levels, helping to analyze gene expression profiles. This method has been used for identifying unknown functions of genes. The fuzzy clustering method assigns one sample to multiple groups according to their degrees of membership. This
Han-Saem Park, Si-Ho Yoo, Sung-Bae Cho
openaire   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

open access: yesMolecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan   +9 more
wiley   +1 more source

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