Sentence examples for more dissimilar sequences from inspiring English sources

Next, we searched against the reference RNA sequences (refseq_rna) database using the discontiguous MegaBLAST program of BLASTN that is tailored to more dissimilar sequences [ 40– 40].

Changing the blast settings for more dissimilar sequences and somewhat similar sequences does not result in additional hits, indicating the unique presence of this sequence in a specific subset of L. pneumophila strains.

Alternatively, it may be due to the use of concatenating analysis in our study, which can provide additional information due to the compiling of more dissimilar sequences for datasets.

Molecular phylogenetic algorithms rely on the basic assumption that species closely related share identities/similarities in their sequences, and that species with high evolutionary distances show more dissimilar sequences.

Essentially, instead of gene sequences becoming progressively more dissimilar, the sequences remain highly similar or even identical.

That is, in cases of simple insertions of one or more nucleotides, assembly of the reads against the rCRS may be fairly uncomplicated as the template sequences will not differ greatly from the reference sequence; but in situations in which the mixture of mtDNA molecules are more dissimilar to the reference sequence, those reads which align will be biased toward those most similar to the reference.

Rates of gene conversion between sequences go down as the sequences become more dissimilar.

Typically, internal regions of different MITE families are much more dissimilar in size and sequence [10].

This is most likely due to the nature of TEs which have a complex evolutionary history within a single species' genome, where related sequences within salmonid genomes can be more dissimilar to candidate TEs than similar sequences from other species.

The phylogram derived from this alignment illustrates that contig 44 is considerably more similar to sequences from several species within Hypocreales than to those within Malasseziales and even more dissimilar to the human rRNA sequence.

The number of actions in manufacture sequences increased (non-significantly) over time (generalised linear model [GLM]: χ1 = 3.59, P = 0.06), and processing sequences became significantly more dissimilar to each other the more time had passed between trials (MT: R = 0.07, P = 0.03).