AIMC Topic: Genome, Bacterial

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An improved method for identification of small non-coding RNAs in bacteria using support vector machine.

Scientific reports
Bacterial small non-coding RNAs (sRNAs) are not translated into proteins, but act as functional RNAs. They are involved in diverse biological processes like virulence, stress response and quorum sensing. Several high-throughput techniques have enable...

Genomic Islands: an overview of current software and future improvements.

Journal of integrative bioinformatics
Microbes are highly diverse and widely distributed organisms. They account for ~60% of Earth’s biomass and new predictions point for the existence of 1011 to 1012 species, which are constantly sharing genes through several different mechanisms....

Genome-wide prediction of prokaryotic two-component system networks using a sequence-based meta-predictor.

BMC bioinformatics
BACKGROUND: Two component systems (TCS) are signalling complexes manifested by a histidine kinase (receptor) and a response regulator (effector). They are the most abundant signalling pathways in prokaryotes and control a wide range of biological pro...

Pre_GI: a global map of ontological links between horizontally transferred genomic islands in bacterial and archaeal genomes.

Database : the journal of biological databases and curation
The Predicted Genomic Islands database (Pre_GI) is a comprehensive repository of prokaryotic genomic islands (islands, GIs) freely accessible at http://pregi.bi.up.ac.za/index.php. Pre_GI, Version 2015, catalogues 26 744 islands identified in 2407 ba...

Analysis of strand-specific RNA-seq data using machine learning reveals the structures of transcription units in Clostridium thermocellum.

Nucleic acids research
Identification of transcription units (TUs) encoded in a bacterial genome is essential to elucidation of transcriptional regulation of the organism. To gain a detailed understanding of the dynamically composed TU structures, we have used four strand-...

EcoliNet: a database of cofunctional gene network for Escherichia coli.

Database : the journal of biological databases and curation
During the past several decades, Escherichia coli has been a treasure chest for molecular biology. The molecular mechanisms of many fundamental cellular processes have been discovered through research on this bacterium. Although much basic research n...

Assessment for antibiotic resistance in : A practical and interpretable machine learning model based on genome-wide genetic variation.

Virulence
() antibiotic resistance poses a global health threat. Accurate identification of antibiotic resistant strains is essential for the control of infection. In the present study, our goal is to leverage the whole-genome data of to develop practical an...

Genomic and machine learning approaches to predict antimicrobial resistance in .

Microbiology spectrum
UNLABELLED: is a multidrug-resistant pathogen, which poses a major challenge to clinical management due to its increasing resistance to common antibiotics, such as levofloxacin (LEV) and trimethoprim-sulfamethoxazole (SXT), and poor clinical respons...

Genomic language models (gLMs) decode bacterial genomes for improved gene prediction and translation initiation site identification.

Briefings in bioinformatics
Accurate bacterial gene prediction is essential for understanding microbial functions and advancing biotechnology. Traditional methods based on sequence homology and statistical models often struggle with complex genetic variations and novel sequence...

Genome Mining and Chemistry-Driven Discovery of a Cell Wall Lipopeptide Signature for subsp. Ancestral Lineage.

ACS infectious diseases
subsp. () causes Johne's disease (JD), a chronic infection responsible for considerable economic losses to dairy industries worldwide. Genetically clonal, has evolved into three distinct genetic lineages designated CII, for bovine strains, and SI ...