ArticleslgStudy

biology

PhenomicDB

PhenomicDB is a biology topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand PhenomicDB rather than just read about it. In short: PhenomicDB is a free phenotype oriented database. It contains data for some of the main model organisms such as Homo sapiens, Mus musculus, Drosophila melanogaster, and others.

Key takeaways

  • PhenomicDB belongs to biology; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect PhenomicDB to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of PhenomicDB from memory before moving on to harder problems.

Reference excerpt

PhenomicDB is a free phenotype oriented database. It contains data for some of the main model organisms such as Homo sapiens, Mus musculus, Drosophila melanogaster, and others. PhenomicDB merges and structures phenotypic data from various public sources: WormBase, FlyBase, NCBI Gene, MGI and ZFIN using clustering algorithms. The website is now offline.

References

Further reading Groth P, Kalev I, Kirov I, Traikov B, Leser U, Weiss B (August 2010). "Phenoclustering: online mining of cross-species phenotypes". Bioinformatics. 26 (15): 1924–5. doi:10.1093/bioinformatics/btq311. PMC 2905556. PMID 20562418. Groth P, Pavlova N, Kalev I, Tonov S, Georgiev G, Pohlenz HD, Weiss B (January 2007). "PhenomicDB: a new cross-species genotype/phenotype resource". Nucleic Acids Research. 35 (Database issue): D696–9. doi:10.1093/nar/gkl662. PMC 1781118. PMID 16982638. Kahraman A, Avramov A, Nashev LG, Popov D, Ternes R, Pohlenz HD, Weiss B (February 2005). "PhenomicDB: a multi-species genotype/phenotype database for comparative phenomics". Bioinformatics. 21 (3): 418–20. doi:10.1093/bioinformatics/bti010. PMID 15374875. Groth, Philip; Weiss, Bertram (2006). "Phenotype Data: A Neglected Resource in Biomedical Research?". Current Bioinformatics. 1 (3): 347–358. CiteSeerX 10.1.1.327.800. doi:10.2174/157489306777828008. {{cite journal}}: Cite uses deprecated parameter |citeseerx= (help) Groth, Philip; Weiss, Bertram; Pohlenz, Hans-Dieter; Leser, Ulf (2008). "Mining phenotypes for gene function prediction". BMC Bioinformatics. 9: 136. doi:10.1186/1471-2105-9-136. PMC 2311305. PMID 18315868.

External links Official website

Worked examples

Example 1 — a first encounter with PhenomicDB

Start with the simplest possible case. Write down what PhenomicDB claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to PhenomicDB before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about PhenomicDB ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of PhenomicDB

In research
PhenomicDB appears in biology research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses PhenomicDB in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
PhenomicDB is common in secondary-school and first-year university syllabi. It links to neighbouring topics Bioinformatics stubs, Biological databases, Phenomics, so understanding it makes those chapters shorter.
In everyday life
Look for PhenomicDB outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study PhenomicDB in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what PhenomicDB means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain PhenomicDB out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is PhenomicDB in simple terms?

PhenomicDB is a free phenotype oriented database. It contains data for some of the main model organisms such as Homo sapiens, Mus musculus, Drosophila melanogaster, and others.

Why does PhenomicDB matter?

Because it connects several biology ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study PhenomicDB?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on PhenomicDB.

Tags

  • Bioinformatics stubs
  • Biological databases
  • Phenomics

Keep exploring