geneRFinder: gene finding in distinct metagenomic data complexities

geneRFinder: gene finding in distinct metagenomic data complexities

Background: Microbes perform a fundamental economic, social, and environmental role in our society. Metagenomics makes it possible to investigate microbes in their natural environments (the complex communities) and their interactions. The way they act is usually estimated by looking at the functions...

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Bibliographic Details
Main Authors: Alves, R. (Author), Góes, F. (Author), Padovani, K. (Author), Silva, R. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
algorithm
Algorithms
article
Bacteria
benchmarking
Benchmarking
Computational burden
Confidence interval
Critical assessment
Data handling
Decision trees
false discovery rate
False discovery rate
Forecasting
Gene prediction
Genes
high throughput sequencing
High-Throughput Nucleotide Sequencing
HTTP
human
Large dataset
Machine learning
metagenome
Metagenome
metagenomics
Metagenomics
molecular genetics
Molecular Sequence Annotation
Natural environments
Next-generation sequencing
Percentage points
prediction
random forest
Random forest modeling
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