computer science

Proteomics Standards Initiative

Proteomics Standards Initiative 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 Proteomics Standards Initiative rather than just read about it. In short: The Proteomics Standards Initiative (PSI) is a working group of the Human Proteome Organization. It aims to define data standards for proteomics to facilitate data comparison, exchange and verification.

Key takeaways

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

Reference excerpt

The Proteomics Standards Initiative (PSI) is a working group of the Human Proteome Organization. It aims to define data standards for proteomics to facilitate data comparison, exchange and verification. The Proteomics Standards Initiative focuses on the following subjects: minimum information about a proteomics experiment defines the metadata that should be provided along with a proteomics experiment. a data markup language for encoding the data, and metadata ontologies for consistent annotation and representation.

Minimum information about a proteomics experiment Minimum information about a proteomics experiment (MIAPE) is a minimum information standard, created by the Proteomics Standards Initiative of the Human Proteome Organization, for reporting proteomics experiments. You can't just introduce the results of an analysis, it is intended to specify all the information necessary to interpret the experiment results unambiguously and to potentially reproduce the experiment. While the MIAPE guidelines define the content required for compliant reports, it does not specify the format in which this data should be presented (which is left to the corresponding *ML format, also defined by PSI), nor does it define how to perform experiments.

Working groups Several working groups work on several documents covering the different areas of proteomics: The gel electrophoresis working group defined reporting requirements for gel electrophoresis experiments. The document is at the stage of a recommendation and has been published. The corresponding data exchange format is called GelML, and a stable version was released in late 2007. The gel electrophoresis working group also focuses on image analysis with the gel image informatics recommendation that is currently in the public review phase while the corresponding exchange format is only a draft (as of April 2009). The sample processing working group defines requirements concerning all the sample pre-processing steps that are carried out before gel electrophoresis or mass spectrometry is applied. Two documents concerning column chromatography and capillary electrophoresis are in the early draft stages and the Sample preparation and handling is still a project (as of April 2009). The data exchange format (spML) is also under development. Mass spectrometry and mass spectrometry informatics documents have been published as recommendations by the mass spectrometry working group. The working group has released several data exchange format: the mzML, for the capture of data generated by a mass spectrometer, which is a merge of the previous mzData (developed by PSI) and mzXML (developed at the Seattle Proteome Center at the Institute for Systems Biology); mzIdentML, for Mass spectra informatics analysis that capture the results of the identification of proteins and peptides from mass spectrometry data; and TraML, for selected reaction monitoring input file. Finally, they develop MS CV, a controlled vocabulary to use with the previous file formats. The molecular interactions working group of PSI only works on PSI MI XML, a data exchange format, and on its corresponding ontologies. They have published the MIMIx guidelines (minimum information about a molecular interaction experiment) Study design and sample generation and statistical analysis of data MIAPE recommendations are also being planned or drafted.

Standard-compliant proteomics repositories Several standard-compliant proteomics repositories exist, allowing researchers to publish their data while enforcing MIAPE guidelines. For example: MIAPEGelDB (for gel electrophoresis data), PRIDE (for mass spectrometry data), and ProteoRed MIAPE Generator tool (for gel electrophoresis and mass spectrometry data) It is expected that journal editors will eventually request authors to publish all their data to such repositories before publication.

Similar initiatives There are similar initiatives that try to define minimal requirements. For microarrays the MGED Society defined the minimum information about a microarray experiment (MIAME). The standards for reporting of diagnostic accuracy (STARD) is available for studies reporting medical diagnosis accuracies.

References

External links PSI web site (psidev.info)

Worked examples

Example 1 — a first encounter with Proteomics Standards Initiative

Start with the simplest possible case. Write down what Proteomics Standards Initiative 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 Proteomics Standards Initiative 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 Proteomics Standards Initiative 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 Proteomics Standards Initiative

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

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

Frequently asked questions

What is Proteomics Standards Initiative in simple terms?

Why does Proteomics Standards Initiative 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 Proteomics Standards Initiative?

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 Proteomics Standards Initiative.