Tag Archives: computational biology reflections

Non-coding doesn’t ‘translate’ to non-functional when it comes to evolution

What is it that has allowed more “complex” species to evolve from simpler species? The popular notion that the addition of new protein coding genes is responsible for this increased complexity has been challenged over the last decade. It is becoming apparent that, although new proteins certainly are important, the amount of conserved sequence is […]
Posted in computational biology reflections blog | Also tagged , , , , , | Leave a comment

Textco BioSoftware Newsletter Includes GCK Tips and More…

Textco BioSoftware has published the first in a series of Newsletters designed to offer helpful tips, tricks and other related information to their user community.
Posted in news | Also tagged , | Leave a comment

Evolution, Conservation, Change, Robustness, Complexity and Degeneracy

For species to be successful and adapt to an ever changing environment, they must strike a delicate balance between allowing for some DNA alterations, while at the same time preserving the key developmental processes encoded in their unique genomes. This poses a problem, as even small changes in any given gene might lead to deleterious […]
Posted in computational biology reflections blog | Also tagged , , , , | Leave a comment

Gene Expression and Transcription Regulation

One of the main beliefs in biology today is that there is a relationship between genes that share common promoter motifs and their expression. It makes sense that if genes share common regulatory elements that they would be turned on and off under similar conditions – and thus would have similar microarray expression profiles. A […]
Posted in computational biology reflections blog | Also tagged , , , | Leave a comment