Course: RNA-seq Analyses in non-model organisms
Where: Free University (FU) Berlin (Germany)
When: 11-15 November 2019
Instructors: Dr. Nicolas Delhomme and Bastian Schiffthaler (Umea Plant Science Center, Sweden)
Course overview
This course provides an overview of modern applications of transcriptome sequencing and popular tools and algorithms for exploring transcript reconstruction and expression analysis in a genome-free manner, leveraging the Trinity software and analysis framework. Attendees will perform quality assessment of Illumina RNA-Seq data, assemble a transcriptome using, among others, Trinity, quantify transcript expression, leverage Bioconductor tools for differential expression analysis, and apply Trinotate to functionally annotate transcripts. In parallel to the short-read assembly, participants will perform the pre-processing of 3rd generation sequencing data (PacBio IsoSeq) and the resulting assemblies will be compared. Additional methods will then be explored for characterizing the assembled transcriptome and revealing biological findings.
Intended audience
This course is aimed primarily at biologist researchers that have basic bioinformatics skills and are pursuing RNA-Seq projects in non-model organisms. Attendees will gain skills needed to successfully approach transcriptome sequencing, de novo transcriptome assembly, expression analysis, and functional annotation as applied to organisms lacking a high quality reference genome sequence. Attendees are also invited to bring a subset of their own data.
Teaching format
The course will be delivered over the course of four and a half days, with each session entailing lectures followed by practical hands-on sessions. Most computing will be done on the cloud and attendees will use their own laptop computers with the Google Chrome web browser providing all the necessary interfaces to the cloud computing environment, including the linux command terminal. Attendees can also use the native terminal emulator of their Operating System (and ssh). This works natively for Linux, MAC and Windows 10. For Windows 7 users, installing MobaXTerm would be recommended.
For the full programme, please see: https://www.physalia-courses.org/courses-workshops/course2/curriculum2/
For the full list of our courses and Workshops, please see: https://www.physalia-courses.org/courses-workshops/course11/
Should you have any questions, please feel free to contact us
Thanks
