Transcriptome assembly
This exercise is meant to get you acquainted with the type of data you would normally encounter in an assembly/annotation project. We will for all exercises use data for the fruit fly (Drosophila melanogaster), as that is one of the currently best annotated organisms and there is plenty of high quality data available. You can create the folders where you want but I would suggest a folder organisation, if you do not follow this organisation remember to put the correct path to your data. Let’s link the raw fastq files. We will clone this Github repo from NBIS annotation team which will be used during this practical. RNA-Seq data is in general very useful in annotation projects as the data usually comes from the actual organism you are studying and thus avoids the danger of introducing errors caused by differences in gene structure between your study organism and other species. Important points to remember before starting working with RNA-Seq: Check if sequence data is paired-end or singl
Transcriptome assembly NBIS • Workshop on RNA-Seq Home Schedule Lab Precourse Info Transcriptome assembly Workshop on RNA-Seq Lucile Soler • 03-Jun-2019 1 Preparation This exercise is meant to get you acquainted with the type of data you would normally encounter in an assembly/annotation project. We will for all exercises use data for the fruit fly ( Drosophila melanogaster ), as that is one of the currently best annotated organisms and there is plenty of high quality data available. You can create the folders where you want but I would suggest a folder organisation, if you do not follow this
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related reading
- A survey of best practices for RNA-seq data analysisgenomebiology.biomedcentral.com
- rnaseq: Parametersnf-co.re
- GitHub - nf-core/rnaseq: RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.github.com
- Data Science for High-Throughput Sequencingdata-science-sequencing.github.io
- Studying bacterial transcriptomes using RNA-seq - PMCncbi.nlm.nih.gov
- GitHub - BioDepot/RNA-seq-lambda: Rapid RNA-seq pipeline using AWS lambda functions for alignmentgithub.com
- Transcription (biology)en.wikipedia.org
- How I sequenced my genome at home - home-seqiwantosequencemygenomeathome.com
- k-mer - Wikipediaen.wikipedia.org
- GitHub - koszullab/metaTOR: Metagenomic binning based on Hi-C datagithub.com
- Current best practices in single‐cell RNA‐seq analysis: a tutorial | Molecular Systems Biology | Springer Nature Linkembopress.org
- GC-Mainarep.med.harvard.edu