Awesome preprint article.
My main objective it to get an overview regarding the current state for pathway analysis. To this end I have been trying to find good (recent) papers that talk about different pathway analysis tools/databases.
I have read the follow paper: http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1002375
It was very good and has given me a basic idea for the state of the field up until 2012.
Now when I say 'pathway analysis' I mean, taking a list of genes and linking them to a pathway using a public database. The linking process can be done using database tools or a separate tool the looks at information from various databases, e.g. KEGG or GO.
Could someone please provide me links to a few additional papers or give me an informal overview of where the field is as of 2012.
Thank you!
Note: My understanding of this topic is almost entirely based on the information contained within the paper mentioned above.
4 answers
Here is a preprint that, according to Twitter speculation, might have caused DAVID to be updated after a 6 year hiatus in new annotations:
http://biorxiv.org/content/early/2016/04/19/049288
Preprints in action. DAVID is updated soon after @reimand preprint showing how stale it is https://t.co/0abev4xJqU https://t.co/fPoOxulgxC
— Anthony Gitter (@anthonygitter) May 26, 2016
You can do a google scholar search for 'pathway analysis', and on the left hand side of the results, click 'Since 2012'.
I have used Google Scholar extensively, in fact I found the paper above and also this one that I am just about the read: http://www.sciencedirect.com/science/article/pii/S0168952512000364
But once again even this paper is from 2012. At the moment I am getting the feeling that there just hasn't been a good review paper on pathway analysis since 2012.
Did you read my original question...?
This is the first paper that a quick Google search returned.
Pathway-based Analysis Tools for Complex Diseases: A Review http://www.sciencedirect.com/science/article/pii/S1672022914001065
It's just a description of the pathway analysis tools available though.
I'm interested in the subject since I'm trying to find an up-to-date open source software to do pathway analysis, and I find that the development of these tools is lagging. The databases are not always up-to-date, comprehensive enough, or ambitious enough in their objectives, so it's not surprising that it's hard to find a good review of these tools. My Google searches always end up pointing me to Ingenuity Pathway Analysis. I do know about DAVID, Panther, Reactome, Cytoscape, ...
GeneSCF is real-time based tool uses current database from KEGG, REACTOME and Gene Ontology.
Gene Set Clustering based on Functional annotation (GeneSCF)
I have compared available tools with GeneSCF performance.The article is under major revision.
I am curious as to how are you able to provide current content from KEGG when it requires a subscription for access?
GeneSCF uses rest API (Only Gene level) for retrieving information from KEGG,
Why do none of these open source programs attempt to do like IPA and integrate the fold changes or the p-values into the pathway analysis?
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