[Biopython] Bioinformatics with Python cookbook

Tommy Carstensen tommy.carstensen at gmail.com
Tue Jul 7 15:19:50 UTC 2015


Tiago, congratulations on your book. I already have "Bioinformatics
Programming Using Python", but it's quite dated. I will buy your book.

On Tue, Jul 7, 2015 at 3:16 PM, Bo Peng <ben.bob at gmail.com> wrote:
> Hi, Tiago,
>
> Congratulations on the publication of the book! I wrote one and know how
> much it takes to write a book. I am getting a copy right now.
>
> Cheers,
> Bo
>
> On Jul 7, 2015 6:42 AM, "Tiago Antao" <tra at popgen.net> wrote:
>>
>> Dear all,
>>
>>
>> I would like to announce "Bioinformatics with Python Cookbook" which I
>> authored. As you might imagine Biopython is discussed heavily in the
>> book.
>>
>> This book is slightly different from the standard books on
>> Bioinformatics and Python. It is not about teaching Bioinformatics
>> algorithms, but about solving practical day-to-day problems with
>> Python, for example:
>>
>> Next-Generation Sequencing: FASTQ, BAM and VCF processing. Along with
>> filtering of datasets.
>>
>> Genomics: processing reference genomes of both high-quality references
>> of model species and low-quality non-model species. Also discussed are
>> genome annotations and gene ontologies.
>>
>> Population Genetics: doing PCA, Admixture/Structure, computing FSTs, ...
>>
>> Genome simulation: mostly forward-time simulations, but also a bit of
>> coalescent
>>
>> Phylogenetics: tree reconstruction and tree drawing
>>
>> Proteins: PDB processing and visualization.
>>
>> Other topics like processing map data, GBIF, interfacing with
>> Cytoscape, accessing lots of online databases, ...
>>
>> There is a bit on interacting with R/Bioconductor via Python.
>>
>> Finally we discuss high-performance in Python: faster algorithms,
>> clusters, Numba and Cython. Also related technologies like Docker
>>
>> The book discusses the usual Python Libraries in the field: Biopython,
>> PyVCF, Pysam, simuPOP, DendroPy, Pymol and also scientific libraries
>> like NumPy, SciPy, matplotlib and scikit-learn.
>>
>> The code is fully available for free at github
>>
>> https://github.com/tiagoantao/bioinf-python/blob/master/notebooks/Welcome.ipynb
>>
>> I am keen on maintaining the book code, so if you find any issues
>> please do contact me.
>>
>> The book is available in the usual places (Amazon, etc.) in paperback
>> and e-book format. The web page of the book is
>>
>> https://www.packtpub.com/application-development/bioinformatics-python-cookbook
>>
>> Regards,
>> Tiago
>> _______________________________________________
>> Biopython mailing list  -  Biopython at mailman.open-bio.org
>> http://mailman.open-bio.org/mailman/listinfo/biopython
>
>
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