For sequences that did not produce hits in ECMT, we performed a BlastN search against the mouse genome (ENSEMBL DNA ver. NCBIM37.56), rat genome (ENSEMBL DNA ver. NCBIM37.56), and AceView non-redundant mouse transcript base (September 2007), with the same threshold value as above.
Contigs assembled from a normalized Roche 454 hamster liver library comprising 1.2 million long reads were used to identify 10'800 unique transcripts based on homology to RefSeq database entries from human, mouse, and rat.
Subsequently, ordering transcripts based on PPLR produces a ranking of most probable upregulated and downregulated transcripts.
The first author verified the transcripts based on audio records.
Transcript Based On Top Secret National Security Agency Surveillance Tapes.
When validated by two highly reliable mouse transcript databases, this MMES based empirical method is shown to be remarkably more accurate than read-counting method, and also better than the logistic regression method used in Pan et al [3].
Quantitation of the PCR results were calculated based on the threshold cycle (Ct) and were normalized using β-tubulin for all mouse transcripts or TATA Binding Protein TBPP) for all human transcripts.
We noticed that 18019 out of 32826 annotated probes (55%) hybridize with at least 25 bases to the 3'-UTR or 5'-UTR regions of the corresponding mouse transcripts.
The Affymetrix 430 2.0 microarray that was used encompasses a complete set of mouse transcripts (45,101 transcripts).
