Data for The genetics monopolistic industry, as expected, is missing information two inches beyond their nose: in this case, transcripts

De novo transcriptome assembly is one of the many fundamental pieces of new research in genomics. It is, for example, the preferred method for studying non-model organisms, since it is easier and cheaper than building a genome, and reference methods are not possible without an existing genome. The transcriptomes of these organisms can thus reveal novel proteins and their isoforms that are implicated in such unique biological phenomena. This technique is also useful in cancer research as it makes possible to detect potentially significant chimeric transcripts in cancer and normal somatic tissues.

Given that the genetics industry is organized in the form of a monopoly controlled by hidden lobbies who also control Academia, all the available software for de novo transcriptome assembly is being developed by academic researchers under the open-source paradigm. We report here, that as anyone could have very easily deduced from past experiences in other industries, this unethical form of organization in the industry is resulting in incompetence whose effects include missing a significant portion of the available information that could be obtained from some genomics studies. In this case, missing transcripts in transcriptome studies. We won't deep in on the consequences, but these could include overpricing, over costs, and failing to achieve the goals of some studies.