Sentence examples for sequences collected from from inspiring English sources

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Axolotl genes were cloned using gene-specific primers designed using sequences collected from the Ambystoma Gene Collection (Smith et al., 2005).

The team compared a computer library of 7073 active gene sequences collected from human cervical cancer cells with the sequenced genome from the Human Genome Project, as well as other human and mouse sequence databases--all of which were taken from presumably healthy individuals.

In the experiment, normal practitioners' reaction time sequences, collected from NTT, exhibit log-normal distribution approximately.

In this study, we proposed novel ways of segmenting smartphone users based on app usage sequences collected from smartphone logs.

Pair-wise comparison of the porcine genomic sequences (August 2007) to hairpin sequences collected from mirBase (Version 10.0) resulted in 12,048 alignments.

We sequenced 118 RNase H domains from clinical viral isolates in Brazil, and analyzed 510 thumb and connection domain and 450 RNase H domain sequences collected from public HIV sequence databases, together with their treatment status and histories.

This study, which used 2,746 WNV protein sequences collected from the NCBI GenPept database, focused on analysis of peptides of length 9 amino acids or more, which are immunologically relevant as potential T-cell epitopes.

The entire nucleotide diversity in a total of 238 sequences collected from the world including Japan and 75 Japanese isolates were 0.00164 and 0.00183, respectively, which seem to be identical (Table S2).

Among sequences collected from highly immunosuppressed patients (T-cell count below 200 cells/mm3) we observe a large range of sequence conservation spanning conserved, NSI/CCR5-like, as well as highly divergent sequences.

By applying similar criteria for inclusion, we also acquired a set of HA sequences from Oceania (mostly from New Zealand) comprising 179 H1N1 and 586 H3N2 sequences collected from 2000 to 2007 (see Table 1).

However, there is only one bioinformatics approach regarding the prediction of the hydroxylation modification, which used the bio-kernel SVM model to predict the 37 sequences collected from NCBI [17], [18] and achieved the specificity of 70% and the sensitivity of 90%, but it limited to the prediction of the collagen hydroxyproline [19].

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