-
Recent Posts
- New gene page, new Bgee interface
- Confirming that autism and epilepsy genes are expressed in specific brain areas
- Gene expression enrichment tests are sensitive enough to detect where your background data came from #TopAnat
- When fold-enrichment is more informative than p-values: #TopAnat analysis of autism genes from GWAS
- #TopAnat where are genes significant in a breast cancer GWAS expressed?
Twitter
- RT @marc_rr: We need software doing biology from ontologies. Like #TopAnat? #selfpromotion ;) #bioont17 #ismbeccb bgee.org/bgee13/?page=t… 4 days ago
- RT @marc_rr: My @Bgeedb poster for #ismbeccb is online @F1000Research @iscb channel: creating knowledge from gene expression https://t.co/… 4 days ago
- RT @hmdc_mgi: @Bgeedb @ensembl In mouse mutations in Indy (official symbol Slc13a5) result in growth, lipid and glucose related phenotypes… 3 weeks ago
- Indy #GeneoftheWeek @ensembl is highly expressed in many tissues, but the most in the fly fat body… twitter.com/i/web/status/8… 3 weeks ago
- RT @ensembl: The name indy stands for I'm not dead yet, an annotation that comes from @FlyBaseDotOrg #GeneoftheWeek #july4th https://t.co/6… 3 weeks ago
Facebook
Archives
Categories
Meta
Category Archives: topanat
New gene page, new Bgee interface
Yesterday we have released a major update of our web interface: The download functionality remains the same, as does the data (processing for the next release is just starting with the new Ensembl release – we love Ensembl). It’s just easier … Continue reading
Posted in bgee update, presentation, topanat, usability
Tagged gene page, statistics, web interface
1 Comment
Confirming that autism and epilepsy genes are expressed in specific brain areas
Recently we presented on this blog a quick-and-dirty analysis of genes with the keyword “autism” from the GWAS Catalog at EBI. But recently, Jabbari and Nürnberg have published a more thorough study of autism and epilepsy candidate genes: Jabbari and … Continue reading
Gene expression enrichment tests are sensitive enough to detect where your background data came from #TopAnat
When you invent such a cool toy as TopAnat, you play with it. And then sometimes, you’re afraid that you might have broken it. But then, maybe it’s more robust than you expected. This is such a story. One lab … Continue reading
When fold-enrichment is more informative than p-values: #TopAnat analysis of autism genes from GWAS
In a recent post on this blog we saw how to analyze results from a breast cancer GWAS. In that case, we did not have very strong expectations of tissue-specificity for the genes; it was more of an exploratory analysis. … Continue reading
#TopAnat where are genes significant in a breast cancer GWAS expressed?
Genome Wide Association Studies (GWAS) report many significant SNPs, which may be associated to many genes. How can we make sense of them? One way is to compute enrichment of the resulting gene list for properties of interest. For example … Continue reading
The contribution of #RNAseq, #microarrays, in situ hybridization and ESTs to #TopAnat gene enrichment signal
In Bgee, we integrate gene expression data from RNA-seq, Affymetrix microarrays, ESTs and in situ hybridization data. It is natural to think that with RNA-seq being so powerful, we should not bother with other sources of information. Yet we still have … Continue reading
Posted in RNA-Seq, topanat
Tagged ESTs, in situ hybridization, Microarray, RNA-Seq, statistics
Leave a comment
What makes #TopAnat special relative to classical #GeneOntology enrichment?
In bioinformatics and genomics, we are all familiar with GO (Gene Ontology) enrichment test. You take a gene list, paste it into a tool such as Gorilla, PANTHER, or others, and obtain a list of terms which are enriched in … Continue reading
Posted in topanat
Leave a comment
