Results 21 to 30 of about 10,955,304 (331)

Student biocuration projects as a learning environment [version 2; peer review: 2 approved]

open access: yesF1000Research, 2022
Background: Bioinformatics is becoming an essential tool for the majority of biological and biomedical researchers. Although bioinformatics data is exploited by academic and industrial researchers, limited focus is on teaching this area to undergraduates,
Ruth C. Lovering   +2 more
doaj   +1 more source

Capturing heart valve development with Gene Ontology

open access: yesFrontiers in Genetics, 2023
Introduction: The normal development of all heart valves requires highly coordinated signaling pathways and downstream mediators. While genomic variants can be responsible for congenital valve disease, environmental factors can also play a role. Later in
Saadullah H. Ahmed   +4 more
doaj   +1 more source

GOing Forward With the Cardiac Conduction System Using Gene Ontology

open access: yesFrontiers in Genetics, 2022
The cardiac conduction system (CCS) comprises critical components responsible for the initiation, propagation, and coordination of the action potential. Aberrant CCS development can cause conduction abnormalities, including sick sinus syndrome, accessory
Kan Yan Chloe Li   +3 more
doaj   +1 more source

Insights into Online microRNA Bioinformatics Tools

open access: yesNon-Coding RNA, 2023
MicroRNAs (miRNAs) are members of the small non-coding RNA family regulating gene expression at the post-transcriptional level. MiRNAs have been found to have critical roles in various biological and pathological processes.
Diana Luna Buitrago   +2 more
doaj   +1 more source

eggNOG-mapper v2: Functional Annotation, Orthology Assignments, and Domain Prediction at the Metagenomic Scale

open access: yesbioRxiv, 2021
Even though automated functional annotation of genes represents a fundamental step in most genomic and metagenomic workflows, it remains challenging at large scales.
C. Cantalapiedra   +4 more
semanticscholar   +1 more source

Annotation of plasmid genes [PDF]

open access: yesPlasmid, 2017
Good annotation of plasmid genomes is essential to maximise the value of the rapidly increasing volume of plasmid sequences. This short review highlights some of the current issues and suggests some ways forward. Where a well-studied related plasmid system exists we recommend that new annotation adheres to the convention already established for that ...
Thomas, Christopher M   +5 more
openaire   +2 more sources

AMIGene: Annotation of MIcrobial Genes [PDF]

open access: yesNucleic Acids Research, 2003
AMIGene (Annotation of MIcrobial Genes) is an application for automatically identifying the most likely coding sequences (CDSs) in a large contig or a complete bacterial genome sequence. The first step in AMIGene is dedicated to the construction of Markov models that fit the input genomic data (i.e.
Nuel, Gregory   +4 more
openaire   +3 more sources

Gene Ontology Annotations and Resources [PDF]

open access: yesNucleic Acids Research, 2012
The Gene Ontology (GO) Consortium (GOC, http://www.geneontology.org) is a community-based bioinformatics resource that classifies gene product function through the use of structured, controlled vocabularies. Over the past year, the GOC has implemented several processes to increase the quantity, quality and specificity of GO annotations.
Gene Ontology Consortium   +136 more
openaire   +4 more sources

GFAnno: Integrated Method for Plant Flavonoid Biosynthesis Pathway Gene Annotation

open access: yesBeverage Plant Research, 2023
Flavonoids are important secondary metabolites synthesized by tea plants. However, inconsistencies in the variations in gene annotation methods across numerous studies, have hindered the comparison of results from previous studies. In this work, we offer
Li-cheng Du   +5 more
semanticscholar   +1 more source

Parallelizing support vector machines for scalable image annotation [PDF]

open access: yes, 2011
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Machine learning techniques have facilitated image retrieval by automatically classifying and annotating images with keywords.
Alham, Nasullah Khalid
core   +7 more sources

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