If you have assembled a bacterial or archaeal genome, the next question is usually straightforward: which annotation pipeline should you use? Three of the most widely used options are Prokka, NCBI PGAP, and RAST. All…
A low RNA-seq mapping rate is one of the most common warning signs in transcriptomics analysis. If too many reads fail to align to the reference genome or transcriptome, downstream results such as gene counts,…
Introduction Bacterial genomes vary widely in size depending on their ecology, lifestyle, and evolutionary history. Understanding the average bacterial genome size is essential for designing sequencing experiments, estimating coverage, and interpreting genomic complexity. In this…
Introduction Shotgun metagenomics allows researchers to sequence all genetic material in an environmental sample. However, after assembly, the resulting dataset contains thousands of contigs from multiple organisms. To reconstruct individual microbial genomes, these contigs must…
Learn how to assemble a bacterial genome from Oxford Nanopore sequencing reads. This guide explains the complete genome assembly workflow using long-read sequencing data.
Introduction Metagenomics has transformed the study of microbial communities by enabling researchers to analyze DNA directly from environmental samples. Instead of isolating organisms in culture, sequencing environmental DNA allows scientists to explore the genomic diversity…
Introduction Choosing the correct RNA-seq sequencing depth is one of the most important decisions when designing a transcriptomics experiment. Sequencing too few reads can reduce the ability to detect differentially expressed genes, while excessive sequencing…
A practical guide to the bacterial genome assembly pipeline, from raw sequencing reads to polished assemblies and functional genome annotation.
A step-by-step guide to RNA-seq data analysis, from FASTQ quality control to differential gene expression and pathway enrichment.
Introduction Microbial communities are extraordinarily complex. Even in apparently simple environments, bacteria, archaea, and microbial eukaryotes coexist in highly structured ecosystems where individual cells can differ dramatically in function, metabolism, and genetic content. Traditional bulk…