RNA-Seq Blog Transcriptome Research & Industry News
RNA-SEQ – Mapping to a Reference Genome – by Kevin Libuit
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- Improved nanopore read accuracy enables single-cell RNA sequencing
- Single-cell RNA sequencing reveals the genetic code of growing limbs
- A robust methodology for assessing differential homeolog contributions to the transcriptomes of allopolyploids
- RNA-Seq identifies skin origins, could lead to better grafts
- GraphDDP – a graph-embedding approach to detect differentiation pathways in single-cell-data using prior class knowledge
- Single-cell RNA-Seq gives scientists unprecedented view of brain development
- BGP – identifying gene-specific branching dynamics from single-cell data with a branching Gaussian process
- iSEE – an interactive Shiny-based graphical user interface for exploring data stored in SummarizedExperiment objects
- Vex-seq – high-throughput identification of the impact of genetic variation on pre-mRNA splicing efficiency
- Medicare covers Veracyte’s RNA-Seq based Envisia Test
Thanks Kevin. I am new to bioinformatics and just beginning to understand the nuances of data analysis. Although I understand that TopHat aligns split-reads across splice junctions, I need to know which of the MANY aligners are actually better over the others and why?
Even though there might be many tools, I need to know why I should prefer to use a tool and not others. I hope you could shed some light on this difficult question. I work with mouse and human data and need to use spilce-junction reads for the analysis.
Thanks!