High-throughput expression profiling experiments with ordered conditions (e.g. time-course or spatial-course) are becoming more common for studying detailed differentiation processes or spatial patterns. Identifying dynamic changes at both the individual gene and whole transcriptome level can provide...
Read More »Designing Microarray and RNA-Seq Experiments for Greater Systems Biology Discovery
Microarray and RNA-seq experiments have become an important part of modern genomics and systems biology. Obtaining meaningful biological data from these experiments is an arduous task that demands close attention to many details. Negligence at any step can lead to ...
Read More »DyNB – A probabilistic method to analyze RNA-seq time series data
Gene expression profiling using RNA-seq is a powerful technique for screening RNA species’ landscapes and their dynamics in an unbiased way. While several advanced methods exist for differential expression analysis of RNA-seq data, proper tools to analyze RNA-seq time-course have ...
Read More »Next maSigPro: updating maSigPro Bioconductor package for RNA-seq time series
The widespread adoption of RNA-seq to quantitatively measure gene expression has increased the scope of sequencing experimental designs to include time course experiments. maSigPro is an R package specifically suited for the analysis of time course gene expression data that ...
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