Utilization of Machine-Learning Methodologies in Order to Understand Complex Evolutionary and Functional Links among Bacterial Genomes
type: Dataset
description: International audience
landing page: IFCS2013 Book of abstracts
keyword: analytical-pipeline
keyword: classification
keyword: comparative-genomics
keyword: conference-papers
keyword: gene-ontologies
keyword: homology-search
keyword: infoeu-reposemanticsconferenceobject
keyword: infoinfo-bicomputer-science-csbioinformatics-q-bioqm
keyword: sdvbibslife-sciences-q-bioquantitative-methods-q-bioqm
keyword: sdvbidevolife-sciences-q-biobiodiversitypopulations-and-evolution-q-biope
issued: 2026-05-05T09:50:14.984324
modified: 2026-05-05T09:50:14.984328
language: en
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Utilization of Machine-Learning Methodologies in Order to Understand Complex Evolutionary and Functional Links among Bacterial Genomes
type: Distribution
format: HTML
access URL: https://hal.science/hal-00999074
issued: 2026-05-05T09:50:14.990011
modified: 2026-05-05T09:50:14.972172