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Fitness Browser

kescience_fitnessbrowser

Primary

Philosophy

Connect genotype to phenotype through systematic mutagenesis. Understand which genes are essential for growth, which provide advantages under specific conditions, and how genetic background affects fitness.

Data sources: RB-TnSeq experiments KEGG MetaCyc SEED

Citation & Attribution

Provider: Price Lab, LBNL

Cite as: Price MN et al. (2018) Mutant phenotypes for thousands of bacterial genes of unknown function. Nature 557:503-509

DOI: 10.1038/s41586-018-0124-0

Website: https://fit.genomics.lbl.gov/

Scale

40+
organisms
1000+
experiments
90+
tables

Schema Browser

experiment 7,552 rows

Column Type Description
orgId string FK -> `organism.orgId`
expName string **Primary Key** (with orgId). Experiment identifier
expDesc string Short condition description
expDescLong string Detailed condition description
expGroup string Experiment group (e.g., "stress", "carbon source", "lb")
media string Growth medium used
mediaStrength string Medium concentration
temperature string Growth temperature
pH string pH value
vessel string Growth vessel type
aerobic string Aerobic/Anaerobic
liquid string Liquid/Solid
shaking string Shaking method
condition_1 string Primary condition/compound
units_1 string Units for condition_1
concentration_1 string Concentration of condition_1
condition_2..4 string Additional conditions (up to 4)
mutantLibrary string Mutant library used
person string Experimenter
dateStarted string Experiment date
pubId string Publication reference
nMapped string Number of mapped reads
nUsed string Number of usable insertions
gMed string Median reads per gene
cor12 string Correlation between replicates
mad12 string Median absolute deviation
maxFit string Maximum fitness score

Sample Queries

Get organisms in the fitness browser

SELECT *
FROM kescience_fitnessbrowser.organism
LIMIT 20

Get fitness scores for a gene

SELECT
  e.condition,
  f.fitness,
  f.t_score
FROM kescience_fitnessbrowser.fitness f
JOIN kescience_fitnessbrowser.experiment e
  ON f.experiment_id = e.experiment_id
WHERE f.gene_id = 'YOUR_GENE_ID'
ORDER BY ABS(f.fitness) DESC
LIMIT 20

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Start Exploring

Access the full Fitness Browser data through BERDL JupyterHub.

Open JupyterHub