Most genes are transcribed into mRNA molecules that are known as the transcriptome. The study of transcriptomic data, or the complete set of RNA transcripts sequenced using high-throughput sequencing is called Transcriptomics. Transcriptomic studies sometimes focus on mRNA molecules that are only transcribed from protein-coding gene sequences and expressed at a given time. However, there are also other RNAs in the cell that are not translated into proteins and Transcriptomic methods can be used to study these non-coding RNAs as well. Analysis of transcriptomic data and good understanding of sequencing techniques allows researchers to apply correct methods to study gene, isoform expression as well as presence and activity of non-coding RNAs.
You can learn about Transcriptomics and methods of RNA-seq data analysis by joining the upcoming OmicsLogic Transcriptomics 2020 online program. The program will introduce participants to basic concepts and real-world applications of RNA-seq. The 3-months program focuses on the logical steps needed to prepare, process, quantify and analyze RNA-seq data, detailing the full process of RNA-seq analysis. Program sessions will start in January 2020 and will provide participants with clear examples and hands-on practical exercises designed to provide conceptual and technical overview of RNA-seq.
RNA-seq has revolutionized the way scientists can study gene expression patterns across a variety of research projects. To utilize this technology, one has to learn to analyze sequencing data and extract biologically meaningful information. In the upcoming program, we will discuss how Next Generation Sequencing can be used to generate transcriptomic data. We will also learn how to analyze this data using methods of quantitative and qualitative analysis of mRNA expression. Online sessions focusing on practical hands-on examples will help participants to apply the methods we review to a variety of projects, analyze data from public domain datasets., generate a table of expression from raw FASTq files and perform downstream analysis of the table of gene and isoform expression.
OmicsLogic Programs offer an in-depth review of -omics technologies and prepare participants for independent research using bioinformatics. These programs are designed with a mix of online workshops, self-directed tutorials and hands-on exercises. In our online sessions, participants can interact with the trainer and other program participants. The online programs provide a guided overview of the logical steps of omics data analysis and prepare the participants to develop an independent bioinformatics project or join a team of other participants that are working on a project together.
An overview of the topics covered in the upcoming OmicsLogic Transcriptomics 2020 program can be seen in this video.
The program will leverage online courses in the comprehensive Transcriptomics series. These include topics like the quantitative and qualitative analysis of RNA in a sample, data preparation using Next Generation Sequencing and preparation of a table of expression from raw FASTq files. The courses also speak about various statistical and machine learning methods for analysis of gene expression data. In Transcriptomics 1, we discuss visualization of high-dimensional data using Principal Component Analysis (PCA). In Transcriptomics 2, we discuss statistical methods of finding differences in gene expression. In Transcriptomics 3, one can learn about the advanced analytical approaches for RNA-seq data that include clustering and classification. Transcriptomics 4 is a review of single cell RNA-seq.
This 3-month program provides the participants with theoretical background on analysis logic and offers hands-on practice in application of relevant methods to a number of different datasets. During the training, we will review and analyze several datasets from high impact research publications. Participants will also have an opportunity to work on an independent project idea and collaborate with other program participants. At the end of the program, participants will receive a certificate of participation based on standard activity requirements.
Program Dates – 14th January – 14th March Registration Price – $135 USD*