Services

What I can do for your lab.

Consulting across the genomics and bioinformatics workflow, from raw reads to manuscript. Engagements range from a focused analysis or assembly review to an end-to-end genome resource. Every project ends with interpreted results, documented methods, and figures you can use.

S01

Genome assembly & polishing review

Assess and improve a draft, or assemble from raw reads. I evaluate contiguity, completeness, and base accuracy, find what's limiting quality, and polish or re-scaffold to a reference you can confidently annotate and compare.

Deliverables

  • QC report: contiguity, BUSCO, QV
  • Polished / curated assembly
  • Contaminant & organelle screen
  • Recommendations memo

Example projects

  • De novo assembly from Nanopore + Illumina
  • Rescue of a fragmented draft
  • Haplotype-aware assembly review

You provide

  • Raw reads or existing assembly
  • Platform & coverage details
  • Genome size / ploidy, if known

S02

Genome annotation (structural)

Predict where the genes are. I build evidence-based structural annotations using RNA-seq and protein evidence, producing gene models you can trust for everything downstream.

Deliverables

  • GFF3 gene models
  • Transcript & protein FASTA
  • Annotation QC (protein BUSCO, stats)
  • Browser-ready tracks

Example projects

  • First annotation of a new genome
  • Re-annotation with added RNA-seq
  • Lifting annotations across assemblies

You provide

  • Assembly
  • Any RNA-seq reads
  • Related-species proteins, if available

S03

Functional annotation

Say what the genes do. I assign putative functions, domains, pathways, and gene families, with attention to the categories that matter for your biology, such as effectors, CAZymes, or resistance genes.

Deliverables

  • Functional tables: GO, KEGG, Pfam/InterPro
  • Curated gene sets of interest
  • Enriched-function summary

Example projects

  • Effector & CAZyme catalog for a pathogen
  • NLR / R-gene survey in a host
  • Secondary-metabolite gene clusters

You provide

  • Gene models or proteins
  • The functional categories you care about

S04

Repeat annotation

Map the repetitive landscape. I identify and classify transposable elements and repeats. This matters for clean gene annotation and for understanding genome size and evolution.

Deliverables

  • De novo repeat library
  • Masked assembly
  • TE classification & landscape
  • Repeat-content report

Example projects

  • TE annotation for a new genome
  • Repeat content across isolates
  • Resolving repeat-driven assembly issues

You provide

  • Assembly
  • Any existing repeat libraries

S05

Comparative genomics

Put your genome in context. I compare genomes to find orthologs, synteny, gene-family expansions and contractions, and lineage-specific features. This is the basis for evolutionary and functional insight.

Deliverables

  • Orthology & synteny analyses
  • Gene-family dynamics
  • Phylogenomic trees
  • Figures: dotplots, trees, UpSet

Example projects

  • Pan-genome of related isolates
  • Synteny across a clade
  • Expansion of a virulence-associated family

You provide

  • Genomes / annotations to compare
  • The comparative question

S06

RNA-seq & transcriptomics

Find out what's expressed, and when. I run differential expression and co-expression analyses, including dual host-pathogen RNA-seq and time courses, and translate them into clear biological findings.

Deliverables

  • QC & alignment
  • Normalized counts & DE tables
  • Enrichment analysis
  • Volcano / MA / heatmap figures

Example projects

  • Host response across infection timepoints
  • Pathogen programs by tissue
  • Treatment vs control with replicates

You provide

  • Raw reads + sample metadata
  • Reference or assembly

S07

DNA methylation & modified bases

Read the epigenome. I analyze cytosine methylation from bisulfite / EM-seq and modified-base signal from Nanopore, with context-aware (CpG / CHG / CHH) profiling and differential methylation.

Deliverables

  • Per-context methylation calls
  • DMR tables
  • Metaplots & genome-wide profiles
  • Cross-platform comparison + methods

Example projects

  • Methylome across developmental stages
  • DMRs during infection
  • Bisulfite vs Nanopore concordance

You provide

  • Reads: bisulfite / EM-seq or Nanopore
  • Reference / assembly
  • Experimental design

S08

Metabarcoding & barcode benchmarking

Know what's in the sample. I build amplicon pipelines (ASV / OTU), assign taxonomy, and benchmark markers, primers, and reference databases so your survey design is defensible.

Deliverables

  • ASV / OTU tables
  • Taxonomic assignment
  • Diversity & composition figures
  • Marker / primer benchmarking report

Example projects

  • Plant DNA metabarcoding of mixed samples
  • Primer comparison for a target group
  • Rhizosphere community profiling

You provide

  • Amplicon reads
  • Marker / primer info
  • Sample metadata

S09

Custom bioinformatics pipelines

Make it reproducible and repeatable. I build documented, parameterized pipelines for your recurring analyses, so your lab can re-run them long after the project ends.

Deliverables

  • Versioned, documented pipeline
  • Environment / config files
  • Usage documentation
  • Handoff session

Example projects

  • Standardized assembly to annotation workflow
  • Lab-wide RNA-seq pipeline
  • Reusable methylation pipeline

You provide

  • Representative data
  • Target compute environment (HPC / cloud / local)

S10

Manuscript-ready figures & methods

Get the manuscript over the line. I produce clean, consistent figures and write the methods and analysis sections, so your results are reproducible and review-ready.

Deliverables

  • Vector / high-res figures
  • Figure legends
  • Methods & supplementary text
  • Reproducible figure code

Example projects

  • Genome resource / announcement package
  • Figure overhaul for revision
  • Methods for a multi-omics paper

You provide

  • Final results / data
  • Target journal style
  • Deadlines

Not sure which of these you need?

Most projects combine a few. Describe your data and your goal, and I'll propose a scope.