Sentence examples for between sequence data and from inspiring English sources

2D provides a general-purpose nucleotide compression protocol that can differentiate between sequence data and auxiliary data thereby offering reconciliation between sequence-specific and general-purpose compression strategies.

Therefore, the 2D algorithm is designed to provide a general-purpose nucleotide compression protocol that can differentiate between sequence data and auxiliary data, thereby offering reconciliation between the specific and general extremes of data compression.

The apparent conflict between sequence data and the fossil record, that favor two different marsupial orders at the basal position of all living marsupials, has so far not been further investigated (Meredith et al. 2011; Mitchell et al. 2014).

In this article, I propose the Differential Direct Coding algorithm, a general-purpose nucleotide compression protocol that can differentiate between sequence data and auxiliary data by supporting the inclusion of supplementary symbols that are not members of the set of expected nucleotide bases, thereby offering reconciliation between sequence-specific and general-purpose compression strategies.

2D will attempt to differentiate between sequence data and other symbols and if an unexpected value occurs that is interpretable as an ASCII value ranging from 0 to 127 inclusive, then this value is stored verbatim and the compression flag is not set, equating to assigning a value from 0 to 127 inclusive.

In this work, I present the Differential Direct Coding algorithm, a general-purpose nucleotide compression protocol that can differentiate between sequence data and auxiliary data by supporting the inclusion of supplementary symbols that are not members of the set of expected nucleotide bases, thereby offering reconciliation between sequence-specific and general-purpose compression strategies.

Correlation between sequencing data and antibody titers, following exclusion of subjects with IBD.

To estimate the correlation between sequencing data and the detection accuracy of the recovered fetal genome, we sampled a subset of data from the maternal plasma sequencing.

We found that the calls between sequencing data and the SNP to be concordant at 989,747 of 1,003,031 SNP array positions (98.7% concordance).

Among these instances of disagreement between weakly supported nodes, there is no general pattern of disagreement between the sequence data and the gene order analyses.

Apparently, the conflict between mtDNA sequence data and morphology requires consideration of other character sources in order to delimit species.