Time series single-cell RNA sequencing (scRNA-seq) data are emerging. However, the analysis of time series scRNA-seq data could be compromised by 1) distortion created by assorted sources of data collection and generation across time samples...
Read More »NetGen – a novel network-based probabilistic generative model for gene set functional enrichment analysis
High-throughput experimental techniques have been dramatically improved and widely applied in the past decades. However, biological interpretation of the high-throughput experimental results, such as differential expression gene sets derived from microarray or RNA-seq experiments, is still a challenging task. Gene ...
Read More »glbase: a framework for combining, analyzing and displaying heterogeneous genomic and high-throughput sequencing data
Genomic datasets and the tools to analyze them have proliferated at an astonishing rate. However, such tools are often poorly integrated with each other: each program typically produces its own custom output in a variety of non-standard file formats. Here ...
Read More »Transcriptome analysis of alternative splicing events
Splicing factor SRSF10 is known to function as a sequence-specific splicing activator. Here, researchers at the Chinese Academy of Sciences used RNA-seq coupled with bioinformatics analysis to identify the extensive splicing network regulated by SRSF10 in chicken cells. They found ...
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