Biology & lab sciences
bi·ol·o·gy · bios: life · logos: study
Biology is the study of living organisms, divided into many specialized fields that cover their morphology, physiology, anatomy, behavior, origin, and distribution. In the lab sciences, careful controls and repetition are what turn an observation into evidence.
- Change one thing at a time; hold everything else fixed.
- Run at least three replicates per condition — one run tells you nothing.
- Include a negative and, where possible, a positive control.
- Anything involving vertebrates, human subjects, or pathogens needs adult supervision and approval first.
Related areas & concentrations
Biology sits at the center of the sciences, borrowing tools from chemistry, data, and psychology. Those neighbors are good places to find a method or a mentor.
Related research areas
- Chemistry: the molecules and reactions behind living systems
- Environmental studies: organisms in their ecosystems
- Psychology & neuroscience: behavior, the brain, and the nervous system
Sample concentrations
- Integrative Physiology: how the body's systems work together
- The Gut Microbiome: the community of microbes that shapes health
- Cell Biology: life at the level of the single cell
- Modeling Blood Flow to Fight Cardiovascular Disease: biology met with computation
Four ways into a question
Biology spans molecules to ecosystems. Picking a level tells you what to measure and whether you need a wet lab at all.
Molecular & Cellular
Life at the scale of genes, proteins, and cells — how the machinery inside organisms actually works.
How does a nutrient change the growth rate of a yeast culture?
Organismal & Physiology
Whole organisms — how bodies are built, how they function, and how they behave.
Does time of day change a plant's rate of transpiration?
Ecology & Environment
Populations and ecosystems — how living things interact with each other and their surroundings.
How does leaf litter depth relate to the insects found beneath it?
Computational Biology
Answering biological questions with public data and code — no wet lab required.
How similar is one gene's sequence across three related species?
Turning an interest into a question
A topic isn't a research question. Narrow to one variable you can change, one thing you can measure, and a design you can actually run safely.
Start from something living you can observe or grow
Plants, yeast, invertebrates, and public datasets are all safe, accessible starting points for a student.
Pick one variable and one measurement
Change exactly one thing (your independent variable) and decide precisely what you'll measure in response.
Design controls and replicates
Plan a control group and at least three replicates per condition before you touch a single sample.
Check feasibility and safety
Can you run it in your timeframe — and does it need approval or supervision?
Methods & where to look
Pair a method you can run safely with the databases and literature that professional biologists use.
Common methods
- Controlled experiments: one variable, a control group, replicates.
- Observation with a protocol: behavior logs or field surveys with fixed rules.
- Microscopy & imaging: looking closely and measuring what you see.
- Bioinformatics: analyzing sequences and structures from public databases.
- Statistics: comparing groups and reporting how confident you can be.
Computational and observational projects need no wet lab — a great option if equipment is limited.
Where to find sources
- Literature: PubMed for biomedical papers, plus preprints on bioRxiv.
- Sequence data: NCBI's GenBank and BLAST for genes; the Protein Data Bank (PDB) for structures.
- Biodiversity: GBIF and iNaturalist for ecology and citizen-science data.
- Journals: Nature, Cell, and the open-access PLOS ONE.
A school lab and a science teacher are your best resources for equipment and safety sign-off.
Designing a controlled experiment
What separates a science-fair demo from research is control. Three habits make your result trustworthy.
Control
Change one variable and hold everything else fixed, with a control group that gets no treatment.
Replicate
Repeat every condition at least three times, so a single fluke can't masquerade as a finding.
Compare
Measure the same way every time and compare groups with basic statistics, not just eyeballing.
When in doubt, choose a plant, microbe, invertebrate, or dataset study — and always work under a teacher's guidance in the lab.