# bioinformatics

> interdisciplinary science that combines biology, computer science and statistics to help in the collection, analysis and understanding of biological data

**Wikidata**: [Q128570](https://www.wikidata.org/wiki/Q128570)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Bioinformatics)  
**Source**: https://4ort.xyz/entity/bioinformatics

## Summary
Bioinformatics is an interdisciplinary science that combines biology, computer science, and statistics to collect, analyze, and understand biological data. It uses computational methods and tools to study biological systems and processes.

## Key Facts
- Bioinformatics is classified as a branch of biology and a subclass of computational biology
- The field has 87 sitelink counts across Wikimedia projects
- It is practiced by bioinformaticians
- The field is related to computational biology, computer science, and various specialized areas like viral phylodynamics and flow cytometry bioinformatics
- Notable software tools include FASTA, IMOD, and SeqKit
- The field has dedicated communities on Reddit (/r/bioinformatics) and Stack Exchange

## FAQs
### Q: What is bioinformatics used for?
A: Bioinformatics is used to analyze and interpret biological data using computational tools and methods, helping researchers understand complex biological systems, genetic sequences, protein structures, and evolutionary relationships.

### Q: How is bioinformatics different from computational biology?
A: While bioinformatics focuses on developing tools and methods for analyzing biological data, computational biology uses these tools to create models and simulations of biological systems. They are closely related but have distinct focuses.

### Q: What skills are needed for bioinformatics?
A: Bioinformatics requires knowledge of biology, computer science, statistics, and programming. Professionals need to understand biological concepts while being able to write code and analyze large datasets.

## Why It Matters
Bioinformatics has revolutionized biological research by enabling scientists to process and analyze vast amounts of genetic and molecular data that would be impossible to handle manually. It has accelerated discoveries in genomics, proteomics, and systems biology, leading to advances in personalized medicine, drug discovery, and our understanding of evolution and disease. The field bridges the gap between biological research and computational analysis, making it possible to identify patterns, predict protein structures, and understand complex biological networks that were previously beyond our reach.

## Notable For
- Combines multiple disciplines (biology, computer science, statistics) to solve biological problems
- Developed specialized software tools like FASTA for sequence alignment and IMOD for image processing
- Has a dedicated academic and research community with specialized conferences and journals
- Enables large-scale analysis of genomic and proteomic data
- Supports personalized medicine through genetic analysis and disease prediction

## Body
### Core Components
Bioinformatics integrates three main disciplines: biology for understanding biological systems, computer science for developing algorithms and software, and statistics for analyzing data patterns. This combination allows researchers to handle the massive amounts of data generated by modern biological research.

### Applications
The field is applied in various areas including genomics (studying DNA sequences), proteomics (analyzing proteins), phylogenetics (understanding evolutionary relationships), and systems biology (modeling complex biological networks). It's used in drug discovery, disease diagnosis, and agricultural research.

### Tools and Software
Common bioinformatics tools include sequence alignment software like FASTA, image processing tools like IMOD, and data manipulation toolkits like SeqKit. These tools help researchers analyze DNA sequences, protein structures, and other biological data.

### Research Areas
Specialized subfields include viral phylodynamics (studying viral evolution), pathway analysis (understanding biological pathways), and machine learning applications in bioinformatics. Each area applies computational methods to specific biological questions.

### Academic and Professional Community
The field has established academic programs, professional societies, and dedicated conferences. Researchers publish in specialized journals, and there are active online communities on platforms like Reddit and Stack Exchange.

## Schema Markup
```json
{
  "@context": "https://schema.org",
  "@type": "Thing",
  "name": "bioinformatics",
  "description": "interdisciplinary science that combines biology, computer science and statistics to help in the collection, analysis and understanding of biological data",
  "url": "https://en.wikipedia.org/wiki/Bioinformatics",
  "sameAs": [
    "https://www.wikidata.org/wiki/Q2005",
    "https://en.wikipedia.org/wiki/Bioinformatics"
  ],
  "additionalType": "branch of biology"
}

## References

1. Integrated Authority File
2. [Nuovo soggettario](https://thes.bncf.firenze.sbn.it/termine.php?id=38883)
3. [Source](https://lingualibre.org/wiki/Q788268)
4. Nuovo soggettario
5. [Source](https://id.ndl.go.jp/auth/ndlna/00870420)
6. [Source](https://id.loc.gov/authorities/sh00003585)
7. YSO-Wikidata mapping project
8. BabelNet
9. Quora
10. [Source](https://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/1297.02008?OpenDocument)
11. [Source](https://golden.com/wiki/Bioinformatics-8NAN)
12. National Library of Israel
13. KBpedia
14. [OpenAlex](https://docs.openalex.org/download-snapshot/snapshot-data-format)