computer science

QIIME

QIIME is a computer science 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 QIIME rather than just read about it. In short: QIIME (English: ch-eye-m) is a bioinformatics data science platform, originally developed for analysis of high-throughput microbiome marker gene (e.g., 16S or 18S rRNA genes) amplicon sequencing data. There have been two major versions of the QIIME platform, QIIME 1 and QIIME 2.

Key takeaways

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

Reference excerpt

QIIME (English: ch-eye-m) is a bioinformatics data science platform, originally developed for analysis of high-throughput microbiome marker gene (e.g., 16S or 18S rRNA genes) amplicon sequencing data. There have been two major versions of the QIIME platform, QIIME 1 and QIIME 2. While microbiome marker gene analysis continues to be a major focus in QIIME 2, the developers describe it as a microbiome multi-omics platform, and support exists or is being added for analysis of shotgun metagenomics and metatranscriptomics data, as well as metabolomics mass spectrometry data. Development of QIIME 1 was initiated in the Knight Lab at the University of Colorado at Boulder, and the first version of QIIME 1 was released on 26 January 2010. Beginning in August 2011, QIIME 1 development was led as a collaboration between the Caporaso Lab at Northern Arizona University and the Knight Lab. In January 2018, QIIME 2 succeeded QIIME 1. QIIME 2 development is led by the Caporaso Lab, but the project remains a community effort, with developers dispersed around the world. QIIME 2 users and developers can get help with the platform and network using the QIIME 2 Forum. "QIIME" was originally coined as an acronym for Quantitative Insights Into Microbial Ecology, but since the development of QIIME 2 this acronym has not been used (e.g., the acronym was not referenced in the publication on QIIME 2).

See also QIIME 2 website Microbial ecology Microbiome

References

Worked examples

Example 1 — a first encounter with QIIME

Start with the simplest possible case. Write down what QIIME claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, 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 QIIME 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 QIIME 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 QIIME

In research: QIIME appears in computer science 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 QIIME 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: QIIME is common in secondary-school and first-year university syllabi. It links to neighbouring topics Bioinformatics software, Metagenomics, Metagenomics software, so understanding it makes those chapters shorter.
In everyday life: Look for QIIME 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 QIIME in 20 minutes

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

Frequently asked questions

What is QIIME in simple terms?

Why does QIIME matter?

Because it connects several computer science 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 QIIME?

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 QIIME.