Search result for Genome analysis Online Courses & Certifications
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Bacterial Bioinformatics
by Rebecca Wattam- 4.8
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Approx. 14 hours to complete
This course provides demonstrations and exercises for performing common genomics-based analysis tasks of bacterial sequence data. Sharing a genome with other PATRIC users Copying a genome annotation job to a shared workspace Introduction to genome assembly Comprehensive Genome Analysis Introduction to Comprehensive Genome Analysis in PATRIC Review of the Comprehensive Genome Analysis Service...
Genome Assembly Programming Challenge
by Alexander S. Kulikov , Michael Levin , Pavel Pevzner , Neil Rhodes- 4.5
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Approx. 18 hours to complete
In this Genome Assembly Programming Challenge, you will follow in the footsteps of the bioinformaticians investigating the outbreak by developing a program to assemble the genome of the E. Assembling phage genome Genome Assembly Faces Real Sequencing Data Splitting the genome into contigs Genome assembly faces real sequencing data...
Whole genome sequencing of bacterial genomes - tools and applications
by Lina Cavaco , Pimlapas Leekitcharoenphon- 4.6
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Approx. 7 hours to complete
This course will cover the topic of Whole genome sequencing (WGS) of bacterial genomes which is becoming more and more relevant for the medical sector. Explain the concept and be able to use the integrated bacterial analysis pipeline for batch analysis and typing of genomic data Utilize the MyDbFinder tool to detect genetic markers of interest from whole genome sequencing...
Analyze Your Genome!
by Pavel Pevzner , Phillip Compeau , Niema Moshiri- 0.0
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4 Weeks
You will learn current best-practice workflows for Genome Assembly, Variant Calling, Trio Analysis, and Differential Expression Analysis as well as the types of biological problems that motivate them. How to reconstruct a genome by stringing together its tiny fragments using popular genome assembly tools to sequence a pathogen...
$49
Molecular Biology - Part 2: Transcription and Transposition
by Stephen P. Bell , Tania A. Baker , Mary Ellen Wiltrout , Nathaniel Schafheimer- 0.0
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7 Weeks
Take a behind-the-scenes look at modern molecular genetics, from the classic experimental events that identified the proteins and elements involved in transcription and transposition to cutting-edge assays that apply the power of genome sequencing. We've designed the problems in this course to build your experimental design and data analysis skills....
$99
Antimicrobial resistance - theory and methods
by Lina Cavaco , Pimlapas Leekitcharoenphon , Rene S. Hendriksen- 4.7
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Approx. 9 hours to complete
Know the basic concepts about analysis and interpretation of results of AST, including different breakpoints, cut-off setting and their applications. Understand the concept and be able to apply genomic analysis tools used to detect resistance genes and other relevant genes from Whole Genome Sequencing (WGS) data (with demonstration of selected online tools) Module F- Alternatives to AST- Genome analysis tools...
Network Analysis in Systems Biology
by Avi Ma’ayan, PhD- 4.5
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Approx. 30 hours to complete
The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. Enrichment Analysis and Enrichr Gene Set Enrichment Analysis (GSEA) - Preliminaries Gene Set Enrichment Analysis (GSEA) - Part 2 Principal Angle Enrichment Analysis (PAEA)...
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Bioinformatic Methods I
by Nicholas James Provart- 4.7
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Approx. 20 hours to complete
Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. The first part, Bioinformatic Methods I (this one), deals with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis and metagenomics. Selection Analysis...
Bioinformatic Methods II
by Nicholas James Provart- 4.7
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Approx. 19 hours to complete
Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. The first part, Bioinformatic Methods I, dealt with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis and metagenomics. Lab 1 -- Protein Domain, Motif and Profile Analysis...
Bioinformatics Capstone: Big Data in Biology
by Phillip Compeau , Pavel Pevzner- 4.1
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Approx. 14 hours to complete
In particular, in a series of Application Challenges will see how genome assembly can be used to track the source of a food poisoning outbreak, how RNA-Sequencing can help us analyze gene expression data on the tissue level, and compare the pros and cons of whole genome vs....
