Sökning: onr:"swepub:oai:lup.lub.lu.se:5e26bba0-2eff-4241-84bb-076c59d40d91" >
Computational prote...
Computational proteomics with Jupyter and Python
-
- Malmström, Lars (författare)
- Lund University,Lunds universitet,epIgG,Forskargrupper vid Lunds universitet,Lund University Research Groups,University of Zurich
-
(creator_code:org_t)
- 2019-04-13
- 2019
- Engelska 12 s.
-
Ingår i: Mass Spectrometry of Proteins. - New York, NY : Springer New York. - 1064-3745. ; 1977, s. 237-248
- Relaterad länk:
-
http://dx.doi.org/10...
-
visa fler...
-
https://lup.lub.lu.s...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Proteomics based on mass spectrometry produces complex data in large quantities. The need for flexible computational pipelines, in the context of big data, in proteomics and other areas of science, has prompted the development of computational platforms and libraries that facilitate data analysis and data processing. In this respect, Python appears to be one of the winners among programming languages in terms of popularity and development. This chapter shows how to perform basic tasks using Python and dedicated libraries in a Jupyter framework: from basic search result summarizations to the creation of MS1 chromatograms.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinsk bioteknologi -- Biomedicinsk laboratorievetenskap/teknologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Medical Biotechnology -- Biomedical Laboratory Science/Technology (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
Nyckelord
- Jupyter
- JupyterHub
- Proteomics
- Python
- R
- Reproducible research
Publikations- och innehållstyp
- kap (ämneskategori)
- ref (ämneskategori)
Hitta via bibliotek
Till lärosätets databas