computer science

Qlucore

Qlucore 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 Qlucore rather than just read about it. In short: Qlucore is a Swedish Bioinformatics software company founded in the year 2007. It started as a collaborative research project at Lund University, Sweden, supported by researchers at the Departments of Mathematics and Clinical Genetics.

Key takeaways

Qlucore 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 Qlucore to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Qlucore from memory before moving on to harder problems.

Reference excerpt

Qlucore is a Swedish Bioinformatics software company founded in the year 2007. It started as a collaborative research project at Lund University, Sweden, supported by researchers at the Departments of Mathematics and Clinical Genetics. The objective was to address the vast amount of high-dimensional data generated with microarray gene expression analysis. To this end, it was imperative to have an interactive scientific software tool necessary for the conceptualize ideas emanating from the research collaborations. Since then, a new version of the software has been released approximately every nine months. In 2017, Qlucore took a major step in the technology by adding the NGS module including a dynamic and fast Genome browser to enable analysis of data being generated with Next Generation Sequencing (NGS) technologies. Qlucore Omics Explorer is a visualisation based software program that provides for the exploration and visualization of big data. This enables researchers to analyze and explore large data sets (containing up to more than 100 million data samples) on a regular PC or Mac. Qlucore Omics Explorer customers are mainly from the Life Science, Plant, Food, and Biotech industries and from matching academic research areas. In 2020, one more major step was taken by adding a new product line with Qlucore Diagnostics and Qlucore Insights. Qlucore Insights is for research use only, and work is ongoing (2022) to receive regulatory approval (CE) for Qlucore Diagnostics. In the fall of 2021, Qlucore was listed on NASDAQ First North.

References

BBC: Read about how Qlucore Omics Explorer is used at King's College in London to analyze gene expression data from worms. https://news.bbc.co.uk/2/hi/technology/8386807.stm SP2 Magazine: Read about how Qlucore solution enables new working models for biologists and statisticians. Page 33 and onwards. http://www.labnews.co.uk/laboratory_article.php/4795/5/getting-through-the-data-maze Archived 12 September 2009 at the Wayback Machine

Worked examples

Example 1 — a first encounter with Qlucore

Start with the simplest possible case. Write down what Qlucore 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 Qlucore 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 Qlucore 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 Qlucore

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

Read the reference excerpt below once, without taking notes.
Close the page and write down what Qlucore 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 Qlucore out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Qlucore in simple terms?

Why does Qlucore 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 Qlucore?

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 Qlucore.