Sentence examples for based on random sequence from inspiring English sources

Besides extensive validation through literature, our predicted associations are additionally supported by the observation that the corresponding TFs are significantly more often over-expressed in their top ranking tissues than expected based on random sequence sets.

A recent study has indicated that random copolymers of poly ethylene terephthalate) and poly ethylene naphthalene-2,6-dicarboxylate) (PET/PEN) can crystallize over the full composition range under the condition of hot-drawing, and that the crystallites formed are based on random sequences of PET and PEN units.

Based on random sequencing of 619 cDNAs probes, and post hoc sequencing of an additional 927 cDNA probes, gene-redundancy on the array was calculated to be roughly 57%.

Overrepresentation of the predicted elements in the respective samples (relative to the expected frequency based on random sequences) was tested for by binomial test with a coefficient level of 95% compared to a Fisher value of a = 0.05 (Additional file 16: Table S7).

We did not find such an association between resistance QTLs and markers based on random gene sequences and genomic sequences, nor between Prx based markers and QTLs for other agronomical traits than resistance (Table 4).

A preliminary estimate based on random 5′ sequencing of 96 clones picked from the cDNA library suggested 92% of completeness based on homology search with the GenBank nt database (data not shown).

Community genomics (metagenomics) based on random shotgun sequencing of microbial community DNA goes far beyond marker gene surveys to provide an in-depth look at the genotypic richness within populations.

In an effort to derive RNAi-competent sequences from a target gene we prepared an shRNA-expressing retroviral library based on random 21-26 nt sequences (~250 sequences) derived from the human Axl gene sequence, a receptor tyrosine kinase frequently expressed in human cancer and correlated with poor overall survival [ 12].

To generate a false discovery rate (FDR 1% for all datasets), simulated datasets are generated based on random reads at equal sequencing depth to each sample dataset and the simulated data was subsequently scanned for hotspots to determine an estimate FDR.

A computer generated random number sequence based on random permuted blocks of sizes 4, 6 and 8 was used.

seeSUMO [ 22], a recently published method, was mainly based on random forest and SVM training of biological sequence features obtained from AAIndex and evolutionary information of sequence windows.