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Biopython

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Overview

This course is an introduction to Bioinformatics using Biopython, a programming library, which allows you to read FASTA files, transcribe and translate DNA to RNA to Protein, analyse quality scores from FASTQ files; access NCBI databases, perform sequence alignment and BLAST queries, register 3D protein visualisation, create and handle Sequence motifs, and plot sequence lengths and GC content. You will also learn how to read FASTA and FASTQ files faster, sort big FASTA/FASTQ files by sequence length, and to filter FASTQ files by PHRED quality scores. This course includes 1 hour Python for Bioinformatics tutorial, which will help you develop the needed programming skills.

Syllabus

Bioinformatics How to read FASTA files with Python and Biopython Tutorial.
Bioinformatics From DNA to RNA to Protein using Biopython [Transcription and Translation].
Bioinformatics Analysis of Quality Scores from FASTQ file using Biopython.
Bioinformatics Accessing NCBI databases and tools with Biopython [Entrez].
Bioinformatics Pairwise sequence alignment/pairwise2 in Biopython.
Bioinformatics Running BLAST queries and performing sequence alignment with Biopython.
Bioinformatics COVID-19 Genome Sequence Analysis using Biopython.
Bioinformatics COVID-19 BLAST search using Biopython.
Bioinformatics COVID-19 3D protein visualisation using Biopython and nglview.
Bioinformatics Creating and handling Sequence motif objects in Biopython.
Bioinformatics Plotting sequence lengths and GC content with Biopython and matplotlib.
Bioinformatics Faster reads of sequence FASTA and FASTQ files with Biopython.
Bioinformatics Sorting big FASTA/FASTQ files by sequence length with Biopython.
Bioinformatics Filtering FASTQ files by PHRED quality scores with Biopython.
Bioinformatics with Biopython - Full Course | 1 hour Python for Bioinformatics tutorial.

Taught by

Lana Caldarevic

Reviews

5.0 rating, based on 1 Class Central review

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  • Shweta Irali
    It was an amazing experience. The course was easy to understand and very interactive. I have learned a lot about Bioinformatics and Python.

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