Example TNA project

Collect the biological material to be sequenced

Description withheld

Description withheld

This course combines e-learning with live online sessions.

This training is an introduction to 'Bulk RNASeq analysis for differential expression', and 'Hands on introduction to ChIPSeq analysis'. If you want to follow one of these trainings and you have no experience with NGS data you should follow this introduction first. 

Since part of the course is done via e-learning you have to ...

The Project Plan for the example TNA project

This service provides in-depth support and automated computational processes to process the raw data for quality reports and identification of expression using transcriptomics data. This service is applicable to any pro/eukaryotic system for which short reads are generated. The computational processes are highly standardised using a Common Workflow approach ensuring reproducibility. Post processing involves differential expression analysis between the different conditions used

This service provides in-depth support and automated computational processes to process the raw data for quality reports and identification of expression using transcriptomics data. This service is applicable to any pro/eukaryotic system for which short reads are generated. The computational processes are highly standardised using a Common Workflow approach ensuring reproducibility. Post processing involves differential expression analysis between the different conditions used

This service provides in-depth support and automated computational processes to process the raw data for quality reports and identification of expression using transcriptomics data. This service is applicable to any pro/eukaryotic system for which short reads are generated. The computational processes are highly standardised using a Common Workflow approach ensuring reproducibility. Post processing involves differential expression analysis between the different conditions used

This service provides in-depth support and automated computational processes to process the raw data for quality reports and identification of expression using transcriptomics data. This service is applicable to any pro/eukaryotic system for which short reads are generated. The computational processes are highly standardised using a Common Workflow approach ensuring reproducibility. Post processing involves differential expression analysis between the different conditions used

This service provides in-depth support and automated computational processes to process the raw data for quality reports and identification of expression using transcriptomics data. This service is applicable to any pro/eukaryotic system for which short reads are generated. The computational processes are highly standardised using a Common Workflow approach ensuring reproducibility. Post processing involves differential expression analysis between the different conditions used