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MetaboAnalyst

MetaboAnalyst 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 MetaboAnalyst rather than just read about it. In short: MetaboAnalyst is a set of online tools for metabolomic data analysis and interpretation, created by members of the Wishart Research Group at the University of Alberta. It was first released in May 2009 and version 2.0 was released in January 2012.

Key takeaways

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

Reference excerpt

MetaboAnalyst is a set of online tools for metabolomic data analysis and interpretation, created by members of the Wishart Research Group at the University of Alberta. It was first released in May 2009 and version 2.0 was released in January 2012. MetaboAnalyst provides a variety of analysis methods that have been tailored for metabolomic data. These methods include metabolomic data processing, normalization, multivariate statistical analysis, and data annotation. The current version is focused on biomarker discovery and classification. The version 6.0 contains three new modules - tandem MS spectral processing and compound annotation, dose response analysis for chemical risk assessment, and leveraging metabolite-genome wide association analysis and Mendelian randomization for causal analysis. MetaboAnalyst supports a wide variety of data input types commonly generated by metabolomic studies including GC/LC-MS raw spectra, MS/NMR peak lists, NMR/MS peak intensity table, NMR/MS spectral bins, and metabolite concentrations. MetaboAnalyst has four modules:

Data processing Statistical analysis (one-factor, two-factor, and time-series data) Functional enrichment analysis Metabolic pathway analysis The table below summarizes the main features of each functional module.

MetaboAnalyst generates a PDF report that includes a written record of each analysis step and displays results in graphical and tabular format. Users can also download processed data files and PNG image files. MetaboAnalyst is part of a suite of metabolomics databases that also includes Human Metabolome Database (HMDB), DrugBank, Toxin and Toxin-Target Database, and The Small Molecule Pathway Database. The HMDB has over 7900 human metabolites and roughly 7200 associated DNA and protein sequences, that are linked to these metabolite entries. While DrugBank includes information on 6707 drugs and 4228 non-redundant drug targets, enzymes, transporters, and carriers, T3DB houses over 2900 common toxins and environmental pollutants. The suite is rounded out by SMPDB with its pathway diagrams for more than 350 human metabolic and disease pathways. MetaboAnalyst has been used by >500,000 researchers worldwide since 2018. It currently receives >10,000 jobs submitted from >2000 users per weekday.

See also MetaboAnalyst Website Metabolite Set Enrichment Analysis MetPA Metabolome Metabolomics

References

Worked examples

Example 1 — a first encounter with MetaboAnalyst

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

In research
MetaboAnalyst 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 MetaboAnalyst 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
MetaboAnalyst is common in secondary-school and first-year university syllabi. It links to neighbouring topics Data analysis software, Metabolomic databases, so understanding it makes those chapters shorter.
In everyday life
Look for MetaboAnalyst 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.

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How to study MetaboAnalyst in 20 minutes

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

Frequently asked questions

What is MetaboAnalyst in simple terms?

MetaboAnalyst is a set of online tools for metabolomic data analysis and interpretation, created by members of the Wishart Research Group at the University of Alberta. It was first released in May 2009 and version 2.0 was released in January 2012.

Why does MetaboAnalyst 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 MetaboAnalyst?

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 MetaboAnalyst.

Tags

  • Data analysis software
  • Metabolomic databases

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