Bioinformatics with Python Cookbook
Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology
2. Auflage
Erschienen am 23. September 2024
360 Seiten
978-1-78934-998-6 (ISBN)
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Antao Tiago :
Tiago Antao is a bioinformatician currently working in the field of genomics. A former computer scientist, Tiago moved into computational biology with an MSc in Bioinformatics from the Faculty of Sciences at the University of Porto (Portugal) and a PhD on the spread of drug-resistant malaria from the Liverpool School of Tropical Medicine (UK). Postdoctoral, Tiago has worked with human datasets at the University of Cambridge (UK) and with mosquito whole genome sequencing data at the University of Oxford (UK), before helping to set up the bioinformatics infrastructure at the University of Montana. He currently works as a data engineer in the biotechnology field in Boston, MA. He is one of the co-authors of Biopython, a major bioinformatics package written in Python.
Tiago Antao is a bioinformatician currently working in the field of genomics. A former computer scientist, Tiago moved into computational biology with an MSc in Bioinformatics from the Faculty of Sciences at the University of Porto (Portugal) and a PhD on the spread of drug-resistant malaria from the Liverpool School of Tropical Medicine (UK). Postdoctoral, Tiago has worked with human datasets at the University of Cambridge (UK) and with mosquito whole genome sequencing data at the University of Oxford (UK), before helping to set up the bioinformatics infrastructure at the University of Montana. He currently works as a data engineer in the biotechnology field in Boston, MA. He is one of the co-authors of Biopython, a major bioinformatics package written in Python.
Inhalt
Table of Contents - Python and the Surrounding Software Ecology
- Next-generation Sequencing
- Working with Genomes
- Population Genetics
- Population Genetics Simulation
- Phylogenetics
- Using the Protein Data Bank
- Bioinformatics pipelines
- Python for Big Genomics Datasets
- Other Topics in Bioinformatics
- Machine learning in Bioinformatics
- Next-generation Sequencing
- Working with Genomes
- Population Genetics
- Population Genetics Simulation
- Phylogenetics
- Using the Protein Data Bank
- Bioinformatics pipelines
- Python for Big Genomics Datasets
- Other Topics in Bioinformatics
- Machine learning in Bioinformatics
