WEBINAR: Getting started with RNAseq: Transforming raw reads into biological insights
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with RNAseq: Transforming raw reads into biological insights’. This webinar took place on 6 September 2023.
Event description
RNA sequencing (RNAseq) is a powerful technique for...
Keywords: Bioinformatics, Transcriptomics, RNA-seq, RNAseq, Gene expression
WEBINAR: Getting started with RNAseq: Transforming raw reads into biological insights
https://zenodo.org/records/8323208
https://dresa.org.au/materials/webinar-getting-started-with-rnaseq-transforming-raw-reads-into-biological-insights-1f7db385-e282-4332-a1c4-d1d73a769b1b
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with RNAseq: Transforming raw reads into biological insights’. This webinar took place on 6 September 2023.
Event description
RNA sequencing (RNAseq) is a powerful technique for investigating gene expression in biological samples. Processing and analysing RNAseq data involves multiple steps to align raw sequence reads to a reference genome, count the number of reads mapped to each gene, and perform statistical analyses to identify differentially expressed genes and functionally annotate them. RNAseq experiments have many different applications as we apply them to a variety of research questions and organisms. This diversity of applications can make it challenging to appreciate all the design considerations, processing requirements, and limitations of RNAseq experiments as they apply to you.
In this webinar, you will gain an understanding of the key considerations for designing and performing your own successful experiments with bulk RNA. We’ll start at the lab bench with RNA extraction, quality control, and library preparation, then move to the sequencing machine where you will make essential decisions about sequencing platforms, optimal sequencing depth, and the importance of replicates. We’ll talk about bioinformatics workflows for RNAseq data processing and the computational requirements of transforming raw sequencing reads to analysis-ready count data. Finally, we’ll discuss how to apply differential expression and functional enrichment analyses to gain biological insights from differentially expressed genes.
This webinar was developed by the Sydney Informatics Hub in collaboration with the Australian BioCommons.
Training materials
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
Files and materials included in this record:
Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc.
Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file.
Getting started with RNAseq: A PDF copy of the slides presented during the webinar.
Materials shared elsewhere:
A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/tITR3WR_jWI
Melissa Burke (melissa@biocommons.org.au)
Deshpande, Nandan (orcid: 0000-0002-0324-8728)
Samaha, Georgina (orcid: 0000-0003-0419-1476)
Bioinformatics, Transcriptomics, RNA-seq, RNAseq, Gene expression
WEBINAR: AlphaFold: what's in it for me?
This record includes training materials associated with the Australian BioCommons webinar ‘WEBINAR: AlphaFold: what’s in it for me?’. This webinar took place on 18 April 2023.
Event description
AlphaFold has taken the scientific world by storm with the ability to accurately predict the...
Keywords: Bioinformatics, Machine Learning, Structural Biology, Proteins, Drug discovery, AlphaFold, AI, Artificial Intelligence, Deep learning
WEBINAR: AlphaFold: what's in it for me?
https://zenodo.org/records/7865494
https://dresa.org.au/materials/webinar-alphafold-what-s-in-it-for-me-4d1ea222-4240-4b68-b9ae-7769ac664ee0
This record includes training materials associated with the Australian BioCommons webinar ‘WEBINAR: AlphaFold: what’s in it for me?’. This webinar took place on 18 April 2023.
Event description
AlphaFold has taken the scientific world by storm with the ability to accurately predict the structure of any protein in minutes using artificial intelligence (AI). From drug discovery to enzymes that degrade plastics, this promises to speed up and fundamentally change the way that protein structures are used in biological research.
Beyond the hype, what does this mean for structural biology as a field (and as a career)?
Dr Craig Morton, Drug Discovery Lead at the CSIRO, is an early adopter of AlphaFold and has decades of expertise in protein structure / function, protein modelling, protein – ligand interactions and computational small molecule drug discovery, with particular interest in anti-infective agents for the treatment of bacterial and viral diseases.
Craig joins this webinar to share his perspective on the implications of AlphaFold for science and structural biology. He will give an overview of how AlphaFold works, ways to access AlphaFold, and some examples of how it can be used for protein structure/function analysis.
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
Files and materials included in this record:
Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc.
Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file.
Materials shared elsewhere:
A recording of this webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/4ytn2_AiH8s
Melissa Burke (melissa@biocommons.org.au)
Morton, Craig (orcid: 0000-0001-5452-5193)
Bioinformatics, Machine Learning, Structural Biology, Proteins, Drug discovery, AlphaFold, AI, Artificial Intelligence, Deep learning
WEBINAR: Getting started with RNAseq: Transforming raw reads into biological insights
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with RNAseq: Transforming raw reads into biological insights’. This webinar took place on 6 September 2023.
Event description
RNA sequencing (RNAseq) is a powerful technique for...
Keywords: Bioinformatics, Transcriptomics, RNA-seq, RNAseq, Gene expression
WEBINAR: Getting started with RNAseq: Transforming raw reads into biological insights
https://zenodo.org/record/8323208
https://dresa.org.au/materials/webinar-getting-started-with-rnaseq-transforming-raw-reads-into-biological-insights
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with RNAseq: Transforming raw reads into biological insights’. This webinar took place on 6 September 2023.
Event description
RNA sequencing (RNAseq) is a powerful technique for investigating gene expression in biological samples. Processing and analysing RNAseq data involves multiple steps to align raw sequence reads to a reference genome, count the number of reads mapped to each gene, and perform statistical analyses to identify differentially expressed genes and functionally annotate them. RNAseq experiments have many different applications as we apply them to a variety of research questions and organisms. This diversity of applications can make it challenging to appreciate all the design considerations, processing requirements, and limitations of RNAseq experiments as they apply to you.
In this webinar, you will gain an understanding of the key considerations for designing and performing your own successful experiments with bulk RNA. We’ll start at the lab bench with RNA extraction, quality control, and library preparation, then move to the sequencing machine where you will make essential decisions about sequencing platforms, optimal sequencing depth, and the importance of replicates. We’ll talk about bioinformatics workflows for RNAseq data processing and the computational requirements of transforming raw sequencing reads to analysis-ready count data. Finally, we’ll discuss how to apply differential expression and functional enrichment analyses to gain biological insights from differentially expressed genes.
This webinar was developed by the Sydney Informatics Hub in collaboration with the Australian BioCommons.
Training materials
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
Files and materials included in this record:
Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc.
Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file.
Getting started with RNAseq: A PDF copy of the slides presented during the webinar.
Materials shared elsewhere:
A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/tITR3WR_jWI
Melissa Burke (melissa@biocommons.org.au)
Deshpande, Nandan (orcid: 0000-0002-0324-8728)
Samaha, Georgina (orcid: 0000-0003-0419-1476)
Bioinformatics, Transcriptomics, RNA-seq, RNAseq, Gene expression
WEBINAR: AlphaFold: what's in it for me?
This record includes training materials associated with the Australian BioCommons webinar ‘WEBINAR: AlphaFold: what’s in it for me?’. This webinar took place on 18 April 2023.
Event description
AlphaFold has taken the scientific world by storm with the ability to accurately predict the...
Keywords: Bioinformatics, Machine Learning, Structural Biology, Proteins, Drug discovery, AlphaFold, AI, Artificial Intelligence, Deep learning
WEBINAR: AlphaFold: what's in it for me?
https://zenodo.org/record/7865494
https://dresa.org.au/materials/webinar-alphafold-what-s-in-it-for-me
This record includes training materials associated with the Australian BioCommons webinar ‘WEBINAR: AlphaFold: what’s in it for me?’. This webinar took place on 18 April 2023.
Event description
AlphaFold has taken the scientific world by storm with the ability to accurately predict the structure of any protein in minutes using artificial intelligence (AI). From drug discovery to enzymes that degrade plastics, this promises to speed up and fundamentally change the way that protein structures are used in biological research.
Beyond the hype, what does this mean for structural biology as a field (and as a career)?
Dr Craig Morton, Drug Discovery Lead at the CSIRO, is an early adopter of AlphaFold and has decades of expertise in protein structure / function, protein modelling, protein – ligand interactions and computational small molecule drug discovery, with particular interest in anti-infective agents for the treatment of bacterial and viral diseases.
Craig joins this webinar to share his perspective on the implications of AlphaFold for science and structural biology. He will give an overview of how AlphaFold works, ways to access AlphaFold, and some examples of how it can be used for protein structure/function analysis.
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
Files and materials included in this record:
Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc.
Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file.
Materials shared elsewhere:
A recording of this webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/4ytn2_AiH8s
Melissa Burke (melissa@biocommons.org.au)
Morton, Craig (orcid: 0000-0001-5452-5193)
Bioinformatics, Machine Learning, Structural Biology, Proteins, Drug discovery, AlphaFold, AI, Artificial Intelligence, Deep learning