Furthermore an iterative round of motif identification and motif matching can be run to identify a possible motif in the upstream region of the cluster.
We proceeded to another round of motif identification using our HES-based method applied to the functional windows of genes within their target clusters.
We selected the genes in this small cluster and proceed to an iterative round of motif identification and motif matching, to finally identify the genes regulated by the RecA_ND mechanism.
Since amplification induces truncation of RNA molecules, we studied the impact of a second round of amplification on identification of differentially expressed genes in relation to the probe – poly(A -tail distA -tail
The first round of analysis and identification were performed automatically by the HD-Examiner software, but all peptides (deuterated and non-deuterated) were manually verified at every state and time point for the correct charge state, m/z range, presence of overlapping peptides and the expected retention time.
Analysis of a comprehensive database already held of all cancers detected between screening rounds enabled identification of all cancer cases that went through the consensus process and were considered normal.
A first round of phylogenetic analysis allowed the identification of all database factors related to Bcen-J2315 ECFs.
After several rounds of screening and identification, the candidate pathogen was subjected to electron microscopy (EM) to obtain morphological evidence (Protocol S1) [50].
After samples underwent several rounds of screening and identification attempts, we concluded that a new virus infection was the most likely cause of the disease.
The sequence analysis pipeline included a number of steps: sequence truncation, repair of 454 sequence mistakes, two rounds of sequence clustering, identification of unique alpha-gliadin transcripts, unique deduced alpha gliadin protein fragments (UPFs), and CD epitope variants, and count of 454-reads per variant.
