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README.md
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license: mit
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---
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---
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license: mit
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task_categories:
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- tabular-regression
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tags:
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- biology
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pretty_name: Cryptococcus Coexpression Network
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size_categories:
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- 10M<n<100M
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---
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# CryptoCEN: A Co-expression network for *Cryptococcus neoformans*
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Elucidating gene function is a major goal in biology, especially among non-model organisms.
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However, doing so is complicated by the fact that molecular conservation does not always
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mirror functional conservation, and that complex relationships among genes are responsible
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for encoding pathways and higher-order biological processes. Co-expression, a promising
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approach for predicting gene function, relies on the general principal that genes with
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similar expression patterns across multiple conditions will likely be involved in the
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same biological process. For Cryptococcus neoformans, a prevalent human fungal pathogen
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greatly diverged from model yeasts, approximately 60% of the predicted genes in the genome
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lack functional annotations. Here, we leveraged a large amount of publicly available
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transcriptomic data to generate a C. neoformans Co-Expression Network (CryptoCEN),
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successfully recapitulating known protein networks, predicting gene function, and
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enabling insights into the principles influencing co-expression. With 100% predictive
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accuracy, we used CryptoCEN to identify 13 new DNA damage response genes, underscoring
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the utility of guilt-by-association for determining gene function. Overall, co-expression
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is a powerful tool for uncovering gene function, and decreases the experimental tests
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needed to identify functions for currently under-annotated genes.
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MJ O'Meara, JR Rapala, CB Nichols, C Alexandre, B Billmyre, JL Steenwyk, A Alspaugh, TR O'Meara
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CryptoCEN: A Co-Expression Network for Cryptococcus neoformans reveals novel proteins involved in DNA damage repair
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Code available at https://github.com/maomlab/CalCEN/tree/master/vignettes/CryptoCEN
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**h99_transcript_annotations.tsv**
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* Cryptococcus neoforman H99 (NCBI Taxon:235443) annotated protein features collected from FungiDB Release 49
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**top_coexp_hits.tsv**
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* top 50 CrypoCEN associations for each gene
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**top_coexp_hits_0.05.tsv**
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* top CrypoCEN associations for each gene filtered by score > 0.95 and at most 50 per gene
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**Data/estimated_expression_meta.tsv**
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* Metadata for RNAseq estimated expression runs
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**Data/estimated_expression.tsv**
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* gene by RNA-seq run estimated expression
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**Data/sac_complex_interactions.tsv**
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* C. neoformans genes that are orthologous to S. cerevisiae genes who's proteins are involved in a protein complex
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**Networks/CryptoCEN_network.tsv**
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* Co-expression network
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**Networks/BlastP_network.tsv**
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* Protein sequence similarity network
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**Network/CoEvo_network.tsv**
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* Co-evolution network
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