# Dan MacLean

> researcher

**Wikidata**: [Q38155206](https://www.wikidata.org/wiki/Q38155206)  
**Source**: https://4ort.xyz/entity/dan-maclean

## Summary

Dan MacLean is a computer scientist, geneticist, and university teacher [1]. He received his education at the University of Cambridge [2]. His professional roles include employment at the Sainsbury Laboratory from 2006 to 2010 and again from 2010 to the present [3][4][5], and prior to that, he worked at the Department of Plant Biology from 2005 to 2006 [3][4][5]. His field of work encompasses bioinformatics, R, computational biology, and transcription [1].

## Summary
Dan MacLean is a researcher and computer scientist specializing in bioinformatics and computational biology. He is affiliated with the Sainsbury Laboratory in Norwich and works on computational methods for transcription analysis and massive parallel sequencing, using tools such as the R programming language.

## Biography
- Education: Doctor of Philosophy (University of Cambridge, 2001–2004)
- Known for: Research in bioinformatics and computational biology, including work on transcription and massive parallel sequencing using R
- Employer(s): Sainsbury Laboratory (staff, from 2006; employment entries indicate 2006–2010 and from 2010 onward), Department of Plant Biology (postdoctoral researcher, April 2005 – September 2006)
- Field(s): Bioinformatics; computational biology; R (programming for statistical analysis); transcription; massive parallel sequencing
- Occupation(s): Computer scientist; geneticist; university teacher

## Contributions
Dan MacLean’s recorded contributions are oriented around computational analysis in biology. He holds a PhD from the University of Cambridge (2001–2004) and subsequently worked as a postdoctoral researcher in a Department of Plant Biology (April 2005–September 2006) before taking long-term positions at the Sainsbury Laboratory (from November 2006, with continuing employment recorded from November 2010). His stated fields of work include bioinformatics, computational biology, transcription analysis, and massive parallel sequencing, and he uses the R programming language as part of his computational toolkit. Public researcher identifiers associated with him indicate a documented publication and research record: ResearcherID C-7046-2013, Scopus author ID 23967105900, Publons author ID 2662727, Dimensions author ID 014372324657.47, ISNI 0000000059094671, VIAF 86255311, and GND 1243262702. These identifiers corroborate an active scholarly profile in computational biology and sequencing-related research. The source material does not provide specific paper titles, patents, products, or named software projects.

## FAQs
### Q: Who is Dan MacLean?
A: Dan MacLean is a researcher and computer scientist specializing in bioinformatics and computational biology, affiliated with the Sainsbury Laboratory in Norwich.

### Q: What does Dan MacLean research?
A: His listed research areas include bioinformatics, computational biology, transcription, and massive parallel sequencing, with computational work using the R programming language.

### Q: Where did Dan MacLean receive his education?
A: He completed a Doctor of Philosophy at the University of Cambridge (2001–2004).

### Q: What institutions has he worked for?
A: He was a postdoctoral researcher in a Department of Plant Biology (April 2005–September 2006) and has held positions at the Sainsbury Laboratory from November 2006 with continued employment noted from November 2010 onward.

## Why They Matter
Dan MacLean’s profile situates him at the intersection of computational method development and biological sequencing research. By focusing on bioinformatics, computational biology, transcription analysis, and massive parallel sequencing, and by employing the R programming language, his work supports analysis pipelines and methodology that are foundational to modern genomics and plant biology research. Long-term affiliation with the Sainsbury Laboratory places him within an institutional context known for plant science, where computational approaches are vital for translating high-throughput sequencing data into biological insight. The presence of multiple bibliographic and research identifiers (ResearcherID, Scopus, Publons, Dimensions, ISNI, VIAF, GND) documents an active scholarly output and allows other researchers to locate his publications and contributions. Without contributors who bridge computational and experimental biology, such as MacLean, the interpretation and scalable analysis of sequencing data in plant and transcriptional studies would be more fragmented. The source material does not list individual landmark papers or software, but the recorded roles and identifiers indicate sustained involvement in shaping computational workflows and analyses in his fields.

## Notable For
- Earning a Doctor of Philosophy from the University of Cambridge (2001–2004).
- Long-term affiliation with the Sainsbury Laboratory (employment beginning November 2006; continued employment noted from November 2010).
- Research focus on bioinformatics, computational biology, transcription, and massive parallel sequencing, with use of R.
- Multiple scholarly identifiers documenting a publication record: ResearcherID C-7046-2013; Scopus author ID 23967105900; Publons author ID 2662727; Dimensions author ID 014372324657.47.
- Authority and library identifiers: ISNI 0000000059094671; VIAF 86255311; GND 1243262702.

## Body
### Education
- Doctor of Philosophy, University of Cambridge.
  - Start: October 2001.
  - End: October 2004.
- Education recorded via ORCID reference.

### Employment and Affiliations
- Department of Plant Biology — postdoctoral researcher.
  - Start: 1 April 2005.
  - End: 1 September 2006.
- Sainsbury Laboratory — staff researcher/employee.
  - First recorded period: 1 November 2006 – 31 October 2010.
  - Subsequent recorded period: from 1 November 2010 (ongoing employment entry in the source data).
- Sainsbury Laboratory is based in Norwich, United Kingdom.

### Research Focus and Methods
- Fields explicitly listed:
  - Bioinformatics.
  - Computational biology.
  - Transcription.
  - Massive parallel sequencing.
  - R (programming language for statistical analysis).
- Occupations include computer scientist, geneticist, and university teacher.

### Scholarly Record and Identifiers
- Researcher identifiers associated with Dan MacLean:
  - ResearcherID: C-7046-2013.
  - Scopus author ID: 23967105900.
  - Publons author ID: 2662727.
  - Dimensions author ID: 014372324657.47.
  - ISNI: 0000000059094671.
  - VIAF: 86255311.
  - GND (ddb person id): 1243262702.
  - Gateway to Research person ID: 459B7E5E-95AC-4BAE-AE2A-08484F11E038.
- These identifiers confirm a traceable publication and research profile across bibliographic databases.

### Languages
- English (spoken/written), as recorded in the source material.

### Notes on Output and Sources
- The source material provides structured metadata about Dan MacLean’s education, employment, fields of work, and bibliographic identifiers.
- The source does not list titles of publications, patents, software projects, or awards in the provided material.

## Schema Markup
```json
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Dan MacLean",
  "jobTitle": "Researcher; Computer Scientist",
  "worksFor": {
    "@type": "Organization",
    "name": "Sainsbury Laboratory"
  },
  "alumniOf": [
    {
      "@type": "EducationalOrganization",
      "name": "University of Cambridge"
    }
  ],
  "knowsAbout": [
    "Bioinformatics",
    "Computational biology",
    "R (programming language)",
    "Transcription",
    "Massive parallel sequencing"
  ],
  "description": "Researcher and computer scientist working in bioinformatics and computational biology at the Sainsbury Laboratory, with expertise in transcription and massive parallel sequencing."
}

## References

1. Czech National Authority Database
2. [Source](https://orcid.org/0000-0003-1032-0887)
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-1032-0887/employment/7342120)
4. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-1032-0887/employment/7342127)
5. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-1032-0887/employment/147624)
6. [Source](https://data.dnb.de/opendata/authorities-gnd-person_lds.rdf.gz)
7. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0003-1032-0887/external-identifiers/922867)