Search bioRxiv⌕ Search

Biology subjects

Permana, B.

Publications and source records attributed to Permana, B..

2 recordsLinked to original sources

Interactive data analysis and reporting with SCIFR: A Single-File SPA Approach

The increasing complexity and scale of genomics data demand reporting solutions that are both interactive and easy to share. Here, we present SCIFR, a framework for creating self-contained, single-file interactive reports. SCIFR merges template-based flexibility with web app interactivity. Demonstrated with BLITSFR (comparative genomics) and METAXSFR (metagenomics), SCIFR outperforms established frameworks in efficiency and usability. The platform and tools are openly available, enabling next-generation, shareable reporting across diverse applications.

bioinformatics↗

Identification of new genes on a whole genome scale using saturated reporter transposon mutagenesis

Small or overlapping genes are prevalent across all domains of life but are often overlooked for annotation and function because of challenges in their detection. The advent of high-density mutagenesis and data-mining studies suggest the existence of further coding potential within bacterial genomes. To overcome limitations in existing protein detection methods, we applied a genetics-based approach. We combined transposon insertion sequencing with a translation reporter to identify translated open reading frames throughout the genome at scale, independent of genome annotation. We applied our method to the well-characterised species Escherichia coli and identified [~]200 putative novel protein coding sequences (CDS). These are mostly short CDSs (<50 amino acids) and in some cases highly conserved. We validated the expression of selected CDSs demonstrating the utility of this approach. Despite the extensive study of E. coli, this method revealed proteins that have not been described previously, including proteins that are conserved and neighbour functionally important genes, suggesting significant functional roles of these small proteins. We present this as a complementary method to whole cell proteomics and ribosome trapping for condition-dependent identification of protein CDSs, and as a high-throughput method for testing conditional gene expression. We anticipate this technique will be a starting point for future high-throughput genetics investigations to determine the existence of unannotated genes in multiple bacterial species.

microbiology↗