You might think that spending thousands of dollars to meet your bioinformatics needs guarantees the most accurate analysis on the market. Well, it’s actually a lot more complicated than that! Expensive pathway analysis tools such [...]
Is this you? You provide expert bioinformatics services to your organization You have great analysts in your group, but not enough of them Your organization does extremely important work in biomedical research, but you have [...]
How are you currently analyzing your RNASeq and proteomics data? Are you currently using one of the many free tools available for pathway analysis, such as DAVID? Or, are you perhaps using Qiagen's IPA? If [...]
You may be interested this recent story in GenomeWeb about how Advaita is taking the lead in the pathway analysis of RNASeq and proteomics data. We are excited that more and more people are gaining [...]
Friday May 24, 2019 Dear friends, Our world-class pathway analysis software, iPathwayGuide, is now 5 years old! At this special moment, I would like to pass along some news and changes that I know you [...]
A while ago, I was doing the pathway analysis of a data set coming from a fat remodeling experiment in mice. This experiment involved a drug candidate known to transform the "regular fat" or white [...]
Orthologs in Systems Biology A recent paper by Renaud, et al., (Environmental Pollution, Vol 244, January 2019, pp 926-937) points out the significant hazard posed by endocrine disrupting chemical (EDC) exposure for aquatic organisms. Renaud, [...]
Advaita announces new distribution partnership with Millennium Science. ANN ARBOR, Michigan, April 23, 2019 – Advaita Bioinformatics, provider of the industry-leading gene expression and genomic variation analysis platform, announces a new partnership with Millennium Science [...]
My previous blog ended with an interesting question: has anybody really compared side-by-side gene set analysis methods and pathway analysis methods on the same data sets? Well, the answer is: not yet! The main reason [...]
Once upon a time, the dream of many a life scientist was simply to be able to measure all gene expression changes involved in a comparison of two phenotypes. “If we could only measure all [...]
