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Autor Tópico: Gene Decode: Mastering Comprehensive Gene Analysis  (Lida 137 vezes)

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Gene Decode: Mastering Comprehensive Gene Analysis
« em: 23 de Novembro de 2024, 08:34 »
Gene Decode: Mastering Comprehensive Gene Analysis


Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 869.99 MB | Duration: 1h 25m

"From Sequence to Function: Unlock the Secrets of Genomic Data Analysis"


What you'll learn
Convert sequence file formats (e.g., FASTA to PDB) and ensure compatibility with bioinformatics tools.
How to retrieve, view, and edit genetic sequences using tools like BioEdit.
Identify open reading frames (ORFs) and analyze sequence composition, including GC content.
Use advanced tools like to explore transcription factor binding sites, functional motifs, and coding/non-coding regions.
Develop practical skills to interpret and analyze genomic data for research and real-world applications.
Translate DNA sequences into amino acids and understand their biological significance.
Requirements
No prior experience in genomics or bioinformatics is required-this course is beginner-friendly.
Basic knowledge of biology or genetics will be helpful but is not mandatory.
A computer with internet access to download tools and access online resources
A willingness to learn, explore, and apply bioinformatics techniques step by step.
Description
Unlock the power of genomics with "Gene Decode: Mastering Comprehensive Gene Analysis." This hands-on course dives into the fascinating world of genetic exploration, focusing on the TNF gene. From downloading and editing gene sequences to uncovering open reading frames, you'll master the art of genetic decoding using tools Learn to translate DNA into amino acids, analyze nucleotide frequencies, and identify transcription factor binding sites. Explore functional motifs and predict coding and non-coding regions, gaining the skills needed to interpret and apply genomic data in meaningful ways. With step-by-step guidance, this course is perfect for students, researchers, and bioinformatics enthusiasts eager to unlock the secrets of genetic sequences.By the end of this course, you'll confidently navigate the entire workflow of gene analysis, from sequence retrieval to advanced motif searches. Whether you're just starting in genomics or looking to enhance your skills, this course is your gateway to mastering gene analysis and making impactful discoveries in biology. Let's decode the language of life together.Whether you're just starting in genomics or looking to enhance your skills, this course is your gateway to mastering gene analysis and making impactful discoveries in biology. Learn how to translate theoretical knowledge into practical skills and apply them to real-world biological challenges. Let's decode the language of life together and push the boundaries of what we know.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Download a Biological Sequence from NCBI and View/Edit It
Lecture 2 Translation of DNA or RNA Sequence into Amino Acids
Section 3: Generate a Translation of a DNA or RNA Sequence into Amino Acids
Lecture 3 Download Biological sequence
Section 4: Find ORFs (Open Reading Frames) in a DNA or RNA Sequence
Lecture 4 ORF's in DNA or RNA Sequence
Section 5: Analyze Sequence Composition (Nucleotide or Amino Acid Frequencies)
Lecture 5 Analyzing sequence composition
Section 6: Search for Functional Motifs in a Genome or Transcriptome Using MEME Suite
Lecture 6 Functional motifs
Section 7: Predict Coding/Non-Coding Regions in a Genome Using GENSCAN
Lecture 7 Predicting introns and exons region's
Section 8: Identify Transcription Factor Binding Sites Using the PROMO Tool
Lecture 8 Predicting Transcription factor binding sites
Section 9: Convert Between Sequence File Formats Using BioEdit (FASTA to PHYLIP)
Lecture 9 Fasta file to PHYLIP file
Section 10: QUIZ
Lecture 10 Resources
Professionals in the life sciences looking to expand their skills in genomic data interpretation and analysis.,Beginners curious about bioinformatics and genomics, with no prior experience required.,Anyone interested in understanding and applying genetic data to real-world biological challenges.,Students and researchers in biology, genetics, and bioinformatics who want hands-on experience with gene analysis tools.,Educators seeking a practical framework to teach gene analysis and bioinformatics.
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