Post con #BioPython

#BioPython

Post pubblici su X che usano #BioPython.

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  1. Dr. Vipin Singh@dr_vipin_singh
    #Biopython - Python level -II - For course details and Registration - Check our global reviews here - Take your Python knowledge to the next level - for genome scale analysis
    Scarica
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  2. Lana Dominkovic@lana_dominkovic
    #Bioinformatics with #Biopython - Full Course is out! | 1 hour #Python for Bioinformatics tutorial Looking forward to continue to make kore #python content, cheatsheets, videos, blog posts, maybe ebook? 😊 who knows! :D
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  3. Lana Dominkovic@lana_dominkovic
    This week I prepared a #biopython #bioinformatics tutorial covering some Biopython examples and modules. It’s 1 hour long and combines all the previous Biopython videos. It will air on Friday :) #python
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  4. Dr. Vipin Singh@dr_vipin_singh
    Python for Biologists - a winner all the way ! Participants included Students, Faculties, Doctors, Dentists, Scientists - India, USA, Canada, Czech Republic, Iraq - topics - Python Basics, #Pandas #ggplot #Biopython - and the smiling faces tell the story !
    Scarica
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  5. Biocanter@canter_viso
    He aquí la 3ª parte de un tutorial donde explico cómo analizar y clasificar secuencias genéticas con #python en #GoogleColab. En esta video vemos detalladamente cómo extraer información del archivo fasta con #Biopython y cómo guardar esa info en python 1/n
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  6. Lana Dominkovic@lana_dominkovic
    Interested in implementation of Transcription and Translation in Biopython? Check out this video: Bioinformatics: From DNA to RNA to Protein | Transcription and Translation in Python #bioinformatics #python #biopython
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  7. 🧬Jacob L Steenwyk✓@jlsteenwyk
    As of version 1.4.1, #PhyKIT, a command-line toolkit for processing and analyzing phylogenomic data, is now compatible with #Python 3.9 and #BioPython 1.79. PhyKIT has 35 (and counting) functions and comes complete with documentation and tutorials.
    Scarica
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  8. Biocanter@canter_viso
    Como cada semana, puedes encontrar aquí la 4ª parte del tutorial para analizar y clasificar genomas con #python y #googlecolab. En esta parte aprenderemos a extraer información del archivo fasta con #biopython, 1/n
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