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Complete Biopython for bioinformatics Bootcamp in 13 days - lovewarez - 07-07-2024 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 Master Biopython: Bioinformatics Data Analysis with Sequence Alignment, BLAST Searches, Genome Analysis and much more 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 |