Complete Biopython for bioinformatics Bootcamp in 13 days
Published 7/2024
Created by Abdul Rehman Ikram
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 18 Lectures ( 2h 12m ) | 1.2 GB
What you'll learn:
Understand the Basics of Biopython: Gain a foundational understanding of what Biopython is and its importance in bioinformatics.
Install and Set Up Biopython: Install Biopython and set up the necessary coding environment, including Jupyter Notebook.
Navigate and Utilize Key Biopython Modules: Identify and use important Biopython modules for various bioinformatics tasks.
Perform Sequence Parsing and Analysis: Parse and analyze DNA, RNA, and protein sequences using Biopython.
Conduct Quality Control on Sequencing Data: Assess the quality of sequencing reads and filter them based on quality scores.
Access Biological Databases: Retrieve biological data from online databases such as NCBI using Biopython.
Perform Sequence Alignment: Execute pairwise and multiple sequence alignments to compare biological sequences.
Execute BLAST Searches: Perform BLAST searches and interpret the results to find sequence similarities.
Analyze Genomic Data: Parse and analyze genomic data from formats such as GenBank files.
Visualize Biological Data: Create visualizations like plots and charts to represent biological data effectively.
Work with FASTQ Files: Index, sort, and perform quality filtering on FASTQ files.
Manipulate FASTA Files: Sort sequences in FASTA files and perform various operations on them.
Identify and Analyze Motifs: Detect and analyze sequence motifs using Biopython.
Understand and Apply COVID-19 Data Analysis: Conduct BLAST searches and visualize COVID-19 protein structures.
Develop Comprehensive Bioinformatics Pipelines: Integrate multiple Biopython functionalities to build end-to-end bioinformatics pipelines.
Plot Sequence Length and GC Content: Generate plots to analyze sequence length and GC content distributions.
Download and Use Biological Data: Fetch sequences by accession numbers and save them in desired formats.
Handle Errors and Exceptions: Manage and troubleshoot common errors encountered during bioinformatics analyses.
Document and Comment Code: Write clear and well-documented code with appropriate comments for reproducibility.
Apply Bioinformatics Skills to Real-world Data: Utilize Biopython skills to analyze real biological datasets and draw meaningful conclusions.
Comprehensive Skill Development: Learners will gain a broad range of skills, from basic sequence parsing and alignment to advanced genome analysis
Hands-On Experience: The course emphasizes practical, hands-on experience, allowing learners to apply what they learn to real biological datasets.
Flexible Learning: Designed to accommodate various levels of prior knowledge, the course is accessible to beginners.
Requirements:
Basic Understanding of Biology
Fundamental Programming Knowledge
Basic Command Line Skills
Computer with Internet Access
Installation of Required Software
Motivation and Curiosity
No Prior Experience Needed
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