Bitnome | Analysis catalogue
Analysis catalogue
Review input requirements, reporting options, and methodological considerations across our analysis areas.
Genomics & variants
Whole-exome, whole-genome and targeted sequencing.
| Typical input | Read data or variant files; reference assembly; sample metadata. |
|---|---|
| Reporting options | QC summaries, annotated variant tables and a research prioritization record. |
| Method review | Reference-build consistency, coverage, variant filtering and the evidence supporting prioritization. |
| Interpretation | Variant prioritization supports research interpretation and requires assessment of supporting evidence and study context. |
Transcriptomics
Expression patterns and comparisons between study groups.
| Typical input | Read data or count matrix; biological replicates; sample groups and covariates. |
|---|---|
| Reporting options | QC and exploratory plots, differential-expression tables and agreed functional summaries. |
| Method review | Replication, confounding, batch effects, contrasts and multiple-testing correction. |
| Interpretation | Group comparisons require a study design that distinguishes biological effects from batch effects. |
Microbiome & metagenomics
Amplicon and shotgun data, with methods matched to the assay.
| Typical input | Sequencing reads; assay and platform information; sample metadata and controls. |
|---|---|
| Reporting options | Taxonomic profiles, diversity summaries and agreed between-group comparisons. |
| Method review | Marker region, read technology, reference database, contamination and compositionality. |
| Interpretation | Interpret taxonomic resolution and abundance in the context of the assay and reference database. |
Single-cell analysis
Cell-level expression, clusters and annotation evidence.
| Typical input | Count matrix; sample metadata; organism; assay and annotation references. |
|---|---|
| Reporting options | QC summaries, embeddings, cluster marker tables and an annotation record. |
| Method review | Cell filtering, doublets, sample integration, marker evidence and biological replication. |
| Interpretation | Cell-type assignments require marker evidence and biological context; embeddings summarize patterns in the data. |
Custom analysis & reporting
For existing datasets, pipeline review, reanalysis or a specific biological question, begin with a file inventory and previous analysis record. Agree on the methods, output formats and reproducibility requirements before work begins.
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