science

Influenza Research Database

Influenza Research Database is a 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 Influenza Research Database rather than just read about it. In short: The Influenza Research Database (IRD) is an integrative and comprehensive publicly available database and analysis resource to search, analyze, visualize, save and share data for influenza virus research. IRD is one of the five Bioinformatics Resource Centers (BRC) funded by the National Institute of Allergy and Infectious Diseases (NIAID), a component of the National Institutes of Health (NIH), which is an agency o…

Key takeaways

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

Reference excerpt

The Influenza Research Database (IRD) is an integrative and comprehensive publicly available database and analysis resource to search, analyze, visualize, save and share data for influenza virus research. IRD is one of the five Bioinformatics Resource Centers (BRC) funded by the National Institute of Allergy and Infectious Diseases (NIAID), a component of the National Institutes of Health (NIH), which is an agency of the United States Department of Health and Human Services.

Data types in IRD Segment, protein, and strain data Animal surveillance data Human clinical data Experimentally determined and predicted immune epitopes Sequence Features Predicted protein domains and motifs Gene Ontology annotations Computed sequence conservation score Clade classification for highly-pathogenic avian influenza H5N1 HA sequences 3D protein structures PCR primer data curated from literature Experiment data from laboratory experiments and clinical trials Phenotypic characteristic data curated from literature Serology data Host factor data

Analysis and visualization tools in IRD BLAST: provides custom IRD databases to identify the most related sequence(s) Short Peptide Search: allows users to find peptide sequences in target proteins Identify Point Mutations: identifies influenza proteins having particular amino acids at user-specified positions Multiple sequence alignment: allows users to align segment/protein sequences using MUSCLE Sequence Alignment Visualization: uses JalView for sequence alignment visualization Phylogenetic tree construction: calculates a tree using various algorithms and evolutionary models Phylogenetic Tree Visualization: allows the color-coded display of strain metadata on a tree generated with one of several available algorithms and/or evolutionary models and viewed with Archaeopteryx 3D Protein Structure Visualization: integrates PDB protein structure files with sequence conservation score and IRD Sequence Features and provides an interactive 3D protein structure viewer using Jmol Sequence Feature Variant Type (SFVT) analysis: provides a centralized repository of functional regions and automatically calculates all observed sequence variation within each defined region Metadata-driven Comparative Analysis Tool for Sequences (Meta-CATS): an automated comparative statistical analysis to identify positions that significantly differ between user-defined sequence groups Sequence Variation Analysis (SNP): pre-computed sequence variation analysis in all IRD sequences; also allows users to calculate the extent of sequence variation in user-specified sequences PCR Primers/Probes: provides a repository of commonly used primers for influenza virus identification, and calculates the polymorphisms of all related IRD sequences at the primer positions PCR Primer Design: allows PCR primer design for IRD and user-provided sequences Sequence annotation: determines the user-provided nucleotide sequence's influenza type, segment number and subtype (for segments 4 and 6), and translates the nucleotide sequence HPAI H5N1 Clade Classification: predicts the clade of highly pathogenic H5 HA sequences ReadSeq: converts between various sequence formats Data Submission Tool: allows users to submit influenza sequences, Sequence Features, and experimental data online External Analysis Tools: displays a list and description of third-party tools for more specialized analyses Personal Workbench to save and share data and analysis

References

External links Official website Bioinformatics Resource Centers The NIAID page describing the goals and activities of the BRCs

Worked examples

Example 1 — a first encounter with Influenza Research Database

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

In research: Influenza Research Database appears in 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 Influenza Research Database 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: Influenza Research Database is common in secondary-school and first-year university syllabi. It links to neighbouring topics Influenza, Medical databases, Pathogen genomics, so understanding it makes those chapters shorter.
In everyday life: Look for Influenza Research Database 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.

Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Influenza Research Database” →

Affiliate

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

How to study Influenza Research Database in 20 minutes

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

Frequently asked questions

What is Influenza Research Database in simple terms?

Why does Influenza Research Database matter?

Because it connects several 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 Influenza Research Database?

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 Influenza Research Database.