SPOT: a web-tool enabling swift profiling of transcriptomes.The increasing number of single cell and bulk RNAseq datasets describing complex gene expression profiles in different organisms, organs or cell types calls for an intuitive tool allowing rapid comparative analysis.  Here we present Swift Profiling Of Transcriptomes (SPOT) as a web tool that allows not only differential expression analysis but also fast ranking of genes fitting transcription profiles of interest.  Based on a heuristic approach the spot algorithm ranks the genes according to their proximity to the user-defined gene expression profile of interest.  SPOT should enable non-bioinformaticians to easily analyse their own and any available dataset.


 SPOT is freely available for (academic) use at: https://frischknechtlab.shinyapps.io/SPOT/ and https://github.com/EliasFarr/SPOT.



SPOT
Here we present Swift Profiling Of Transcriptomes (SPOT) as a web tool that allows not only differential expression analysis but also fast ranking of genes fitting transcription profiles of interest. 
Swift Profiling Of Transcriptomes (SPOT)
SPOT: a web-tool enabling swift profiling of transcriptomes.The increasing number of single cell and bulk RNAseq datasets describing complex gene expression profiles in different organisms, organs or cell types calls for an intuitive tool allowing rapid comparative analysis.  Here we present Swift Profiling Of Transcriptomes (SPOT) as a web tool that allows not only differential expression analysis but also fast ranking of genes fitting transcription profiles of interest.  Based on a heuristic approach the spot algorithm ranks the genes according to their proximity to the user-defined gene expression profile of interest.  SPOT should enable non-bioinformaticians to easily analyse their own and any available dataset.


 SPOT is freely available for (academic) use at: https://frischknechtlab.shinyapps.io/SPOT/ and https://github.com/EliasFarr/SPOT.



SPOT