Sequencing Data Processing
Here you will find the current list of BioFigR services that focus on the processing of raw sequencing reads into usable data.
BioFigR is actively building its solutions for -omics pipelines and related workflows. As there are many development opportunities, reach out to discuss and shape priorities.
Genomics Services
Mitochondrial
DNA Analysis
Profile mitochondrial variants and heteroplasmy from WGS or targeted sequencing.
BioFigR can perform mtDNA assembly and subsequently variant calling.
Deliverables include annotated variants, coverage metrics, and summary reports.
Assemble and analyse mitochondrial genomes from short-read sequencing data.
Transcriptomics Services
Bulk
RNA-seq
Bulk RNA-seq measures genome-wide transcript abundance.
BioFigR performs QC, alignment, quantification, and differential-expression analysis.
Outputs include count matrices, normalised expression, and annotated results.
Quantify gene expression across whole transcriptomes using bulk RNA-seq.
Epigenomics Services
CUT&RUN CUT&TAG
CUT-based assays provide targeted cleavage at protein–DNA binding sites with minimal background.
BioFigR performs QC, alignment, peak detection, and occupancy profiling.
Outputs include clean peak sets, annotated regions, and high-resolution signal tracks.
High-precision mapping of chromatin-bound factors using CUT&RUN or CUT&Tag.
Microbial and Metagenomics Services
Viral
Metagenomics
Viral composition is overlooked in many standard pipelines.
BioFigR performs rigorous QC, host depletion, assembly, and sensitive taxonomic classification of viral and phage sequences.
Output of clean contigs and abundance matrices for downstream analyses.
Identify known and unknown viral sequences directly from shotgun or viral-enriched FASTQ data.
eDNA
Metabarcoding
.png)
Environmental DNA datasets often suffer from low biomass and inflated false-positive calls.
BioFigR performs strict QC, filtering, chimera removal, and robust denoising to recover reliable ASVs.
Deliverables include curated feature tables, diversity metrics, and outputs for ecological interpretation.
Characterise micro- or macrobiology composition from environmental samples using taxonomic assignment of eDNA sequence data.