Microbial bioinformatics services
Transform sequencing reads into biological insights
Downstream bioinformatics analysis for microbial genomics, metagenomics, transcriptomics & proteomics. Analysis of existing data; sequencing is arranged separately.
Have sequencing data but need analysis support?
We help you go from raw reads to publication-ready results, including genome assemblies, RNA-seq analysis, MAG recovery, and microbiome profiling. We work with data generated by any sequencing core or commercial provider.
PhD-level scientific expertise
Microbial-focused analysis
Direct scientific communication
Publication-oriented outputs
Who we work with
Bioinformatics support for microbial research
Tailoredomics supports academic researchers, PhD students, postdocs and research groups working with microbial genomics, metagenomics, transcriptomics and other omics-based projects.
01
Academic labs
Support for research groups that need robust analysis and interpretable outputs without expanding an in-house bioinformatics team.
02
PhD students & postdocs
Help with datasets, analyses or methodological bottlenecks that require additional computational expertise.
03
Microbial projects
Focused on bacteria, archaea, microbiomes, environmental samples and omics-based microbial research.
What we offer
Analysis shaped around the research question
The required analysis is defined from your data, project design and scientific objective—not from a fixed menu of modules.
Project-adapted analysis
We define an analytical route that fits the organism, sequencing platform, dataset and research question.
Established methods, combined when needed
A project may require a standard workflow, selected analyses, or a combination of genomic, metagenomic and statistical methods.
Publication-ready outputs
Receive structured results, figures, tables, methods and processed files that can support interpretation and publication.
Bioinformatics services
Core analysis areas
The service pages describe the analyses we commonly perform. They are starting points, not rigid packages.
Metagenomics
Metagenomics Data Analysis
Taxonomic profiling, assembly, binning, MAG recovery, quality assessment and functional analysis.
Microbiome
Microbiome Data Analysis
16S/18S/ITS workflows, diversity, differential abundance, statistics and metadata integration.
Microbial genomics
Microbial Genomics
Genome assembly, annotation, taxonomy, comparative genomics and phylogenomics.
Transcriptomics
Transcriptomics Analysis
RNA-seq processing, differential gene expression and functional interpretation.
Proteomics
Proteomics Analysis
Proteomic data analysis, biological interpretation and support with PRIDE dataset submissions.
Other projects
Project-specific bioinformatics
For projects that combine methods or fall outside a standard service workflow.
Typical project workflow
From first email to usable results
The analytical workflow changes from project to project. The way we work together does not. You bring the dataset, biological question and any analysis path you already have in mind; we translate that into a clear scope, methods and deliverables.
Tailoredomics was built around a simple idea: bioinformatics works better when the analysis is connected to the experiment and the biology behind it.
Project brief
Data + research question
Example: Sequencing reads from bacterial isolates: how are they related, and which genes differ?
Scope & quotation
Methods + outputs + timing
Example: Agree assembly, annotation and genome comparisons, deliverables, price and schedule.
Data transfer
Reads + sample information
Example: Share sequencing-provider files and a sample sheet through the agreed transfer method.
Project-specific analysis
Workflow follows the question
Example: Read QC, assembly assessment, annotation, ANI, phylogenomics and gene-content comparison.
Results & documentation
Figures + tables + files + methods
Example: Receive assemblies, annotations, a phylogenomic tree, comparative tables and documented methods.
Follow-up
Interpretation + clarification
Example: Discuss the biological findings, limitations and questions arising from the results.
Direct scientific communication throughout the project
Start with your question.
Tell us what you have and what you need to find out.
Discuss findings directly.
Questions and intermediate findings can be discussed during analysis.
Agree a suitable approach.
Use established methods or combine analyses as the project requires.
Selected research & projects
Methods demonstrated in published research
Selected publications and collaborations demonstrate the research experience behind Tailoredomics. These include academic work carried out before the service was established.
BMC Genomics · 2024
Comparative microbial genomics & phylogenomics
Comparative analysis of Fervidobacterium, integrating genome sequencing and assembly, annotation, ANI, pangenome analysis and genome-based phylogeny.
Frontiers in Microbiology · 2025
Integrated transcriptomics & proteomics
Combined transcriptomic and proteomic analysis to investigate molecular mechanisms associated with microbial keratin degradation under thermophilic anaerobic conditions.
Frontiers in Cellular and Infection Microbiology · 2021
Clinical mycobiome analysis
Microbiome-analysis contribution to an ITS2 sequencing study investigating salivary fungal communities and their association with clinical variables in oral cancer.
Research-grounded
Methods selected in scientific context, not simply run as a black-box package.
Direct communication
Discuss the project with the people responsible for the analysis.
Reproducible
Documented workflows and methods appropriate to the project.
Useful deliverables
Outputs prepared for interpretation, collaboration and publication.
Rubén Javier-López, PhDMicrobiology · Molecular biology · Bioinformatics
Who is behind Tailoredomics
Built from the lab bench to the command line
Tailoredomics grew from a recurring problem in research: an analysis can be technically correct and still miss the experimental context behind the data.
The core perspective here is deliberately biological. It combines hands-on microbiology and molecular biology—culturing microorganisms, extracting nucleic acids and designing experiments—with the computational work needed to analyse sequencing and omics data. The objective is not simply to run software, but to understand what the experiment is asking and choose an analysis that makes scientific sense.
PhD in Microbiology
Wet-lab research background
Hands-on bioinformatics
Scientist-to-scientist contact
Core specialism: microbial genomics, metagenomics and microbiome analysis. We also support transcriptomics, proteomics and repository submissions for prokaryotic and eukaryotic research, with methods and scope agreed for each project.
Discuss your project
Have sequencing data that needs analysis?
Tell us what data you have, what you are trying to answer and any analysis you already have in mind. We can then define the scope and quotation.
You do not need to upload data at the first contact.
Tell us about your project
Share your name, email, areas of interest and research question through our contact form. You can select more than one analysis area.
Raw data transfer is arranged after discussing the project.