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CoSpliceNet: a framework for co-splicing network inference from transcriptomics data.

BMC genomics | 2016

Alternative splicing has been proposed to increase transcript diversity and protein plasticity in eukaryotic organisms, but the extent to which this is the case is currently unclear, especially with regard to the diversification of molecular function. Eukaryotic splicing involves complex interactions of splicing factors and their targets. Inference of co-splicing networks capturing these types of interactions is important for understanding this crucial, highly regulated post-transcriptional process at the systems level.

Pubmed ID: 27793091 RIS Download

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This is a list of tools and resources that we have found mentioned in this publication.


scikit-learn (tool)

RRID:SCR_002577

scikit-learn: machine learning in Python

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Cytoscape (tool)

RRID:SCR_003032

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Biopython (tool)

RRID:SCR_007173

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LIMMA (tool)

RRID:SCR_010943

Software package for the analysis of gene expression microarray data, especially the use of linear models for analyzing designed experiments and the assessment of differential expression.

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