All tools

Convert between mass, molar concentration and volume for a solution.

Compute molar mass from a chemical formula, including hydrates.

Work out how much stock and diluent to combine for a target concentration.

Plan a dilution series and get the transfer volume for every step.

What to weigh out for a buffer, with the pKa corrected for temperature.

Convert between relative centrifugal field and rotor speed, for a stated radius.

Scale a recipe to a different batch size and keep every concentration the same.

Concentration and purity from A260, with the conversion factor made explicit.

How much stock to add to a culture, and what to weigh to make the stock.

Agarose to weigh for a gel, and which percentage resolves your fragment.

Generate the reverse, complement or reverse complement of a sequence.

Measure GC content and base composition of a nucleotide sequence.

Translate a nucleotide sequence into protein in any reading frame.

Primer Tm under every model at once, with the salt and concentration you actually used.

The reference primer design engine, still the one to beat.

Primer design with a specificity check against a whole genome.

Restriction mapping and digest planning against a real enzyme catalogue.

Cloud plasmid editor and lab notebook, free for academic use.

Free viewer for annotated plasmid maps and sequence files.

CRISPR guide RNA design with off-target scoring.

Similarity search against every public sequence database.

Multiple sequence alignment that scales to thousands of sequences.

Multiple alignment with accuracy modes for difficult sequence sets.

Global pairwise alignment, the reference implementation.

The reference protein sequence and functional annotation database.

Protein family, domain and functional site annotation in one place.

Genome browser with comparative genomics and variation data.

Mass, isoelectric point, extinction coefficient and composition from a sequence.

Superpose two structures and score how similar their folds are, with TM-score.

Predicts protein, DNA, RNA and ligand complexes with AlphaFold 3.

AlphaFold2 and multimer predictions in a notebook, with no local GPU.

Threading-based modelling with function and ligand-site prediction.

Builds ready-to-run input files for molecular dynamics simulations.

Fast 3D structure viewing in the browser; the PDB default.

The Protein Data Bank: every experimentally determined structure.

Convert optical density to cell density and plan culture dilutions.

Turn a chamber count into cells per millilitre, with the counting error stated.

Work out the suspension and medium to seed a plate or flask at a target density.

The zebrafish model organism database: genes, lines and expression.

Drosophila genes, stocks, phenotypes and reagents.

Overlay excitation and emission spectra and see which pairs will separate.

Check a multi-colour panel against your filters before you stain anything.

Förster radius from real spectra, and the artefacts that will spoil the measurement.

Rank fluorophores by what your setup will actually detect, not by ε × Φ alone.

Turn a microscope in 3D, follow the light path, and see what each part is for.

The standard for scientific image analysis, with a plugin for almost everything.

High-throughput image analysis pipelines without writing code.

Multidimensional image viewer built for Python workflows.

Whole-slide and digital pathology image analysis.

Compare two groups and get the effect size and interval, not just a p-value.

Adjust a list of p-values by Benjamini–Hochberg or Bonferroni.

Compare three or more groups, with variance explained and every pair tested.

Pearson or Spearman with a confidence interval on r, plus a fitted line.

Compare counts across categories, with the odds ratio and its interval.

How many replicates you need — worked out before the experiment, not after.

Free statistics software with both classical and Bayesian tests.

The default statistics and graphing package in experimental biology.

Free point-and-click statistics built on R, with a spreadsheet front end.

Estimation plots: effect size with confidence interval, not just a p-value.

The statistical environment nearly all biological methods are written for.

Power analysis and sample size calculation for the standard tests.

Long-established commercial statistics package, common in clinical research.

Commercial statistics package strong in epidemiology and survival analysis.

Plots every replicate and every experiment, instead of hiding both in a bar.

Volcano plots from a results table, with labelling and thresholds you control.

Interactive heatmaps with clustering, in the browser.

Free web platform covering a very wide range of biological plot types.

Scientific diagrams and schematics from a large library of biological icons.

Free vector editor for assembling and labelling multi-panel figures.

The grammar-of-graphics plotting library for R.

Statistical plotting for Python, built on matplotlib.

The reference R package for annotated, publication-grade heatmaps.

Statistical models and hypothesis tests for Python.