About EMBL-EBI EMBL’s European Bioinformatics Institute is a data powerhouse, utilised on a global scale to advance scientific discovery through bioinformatics and solutions to some of the world’s mos...

PhD Project - The genomic basis of symbiotic integration at University of Bath, listed on FindAPhD.com

PhD Project - Linking antimicrobial resistance, climate warming, and carbon use efficiency in Arctic soils (HERNANDEZ-GARCIA_UEA_ARIES26) at University of East Anglia, listed on FindAPhD.com

In this Consensus Statement, a consortium of microbiome scientists discuss current sequencing data sharing policies and propose the use of a Data Reuse Information (DRI) tag to promote equitable and collaborative data sharing.

Background Long-read sequencing has revolutionised metagenomics through improved metagenome assembly, taxonomic classification and functional characterisation. Automation can enhance the throughput, reproducibility, and accuracy of library preparation. However, the validation of automated library preparation protocols remains undetermined for metagenomic workflows, which are particularly sensitive to methodological perturbation. Here, we compare long-read metagenomic sequencing of environmental samples through parallel manual and automated protocols. Results Although automated library preparation led to minor reduction in read and contig lengths, taxonomic classification rate and alpha diversity was slightly higher than manual libraries, including the detection of more rare taxa. Despite this, no significant difference in microbial community structure was identified between manual and automated libraries. Conclusions Despite minor differences in sequencing and classification metrics, automated and manual library preparation resulted in comparable characterization of environmental community metagenomes. These findings demonstrate the suitability of automation for high-throughput long-read metagenomics, with broad applicability to automated long-read sequencing for improved efficiency and reproducibility.

In this Consensus Statement, a consortium of microbiome scientists discuss current sequencing data sharing policies and propose the use of a Data Reuse Information (DRI) tag to promote equitable and collaborative data sharing.

The virus-host arms race is a major component of the evolutionary process in all organisms that drove the evolution of a broad variety of immune mechanisms. In the last few years, over 200 distinct an...

This Perspective discusses virus-encoded auxiliary metabolic genes and provides a framework for the biological interpretation of these genes.

Abstract. Split-and-pool barcoding generates thousands of unique barcode strings through sequential ligations in 96-well plates, making single-cell omics m

Cultivation of tropical soil microorganisms combined with physiological experiments and bioinformatics analyses identify a family of clade III lactonase-type nitrous oxide reductases with low sequence...

Abstract. Natural transformation is the only process of gene exchange under the exclusive control of the recipient bacteria. It has often been considered a

Antimicrobial Resistance (AMR) is a major threat to public health. Plasmids are mobile genetic elements that can rapidly spread across bacterial populations, promoting the dissemination of AMR genes i...