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Exact(9)
The second one contains rejected sequences with the reasons of rejection.
By construction, the rejected sequences, by a particular test, are thus of effective measure zero.
So the set of all rejected sequences is in the intersection of all the test sets Um.
These two results show that the set of rejected sequences is effective measure zero: each test is a sequence of effective open sets of sequences.
Our analysis shows that most of the rejected sequences shown in Table 1 are derived from "empty" phage particles or amplification artifacts.
However, a fraction of the rejected sequences may be false-negatives (i.e., phage containing valid sequences discarded due to a wrongly assigned non-21nt insert) derived from homopolymer sequencing errors.
Similar(51)
Proof of Theorem 3. Every rejected sequence is rejected at some level.
So every rejected sequence has some initial sequence which is rejected at that level.
Phred [ 42, 43] was used with default parameters to determine each base call from files extracted from sequencers and reject sequences that were of low quality.
During selection we reject sequences which are too similar to the already selected ones to increase the heterogeneity in the data set.
For presence/absence in other viruses, archaea and eukaryotes, we did not reject sequences with low homology, as recent studies suggest that regions of divergent proteins sharing limited homology can actually be the result of molecular mimicry [136], [137].
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