Sentence examples for differential alignment from inspiring English sources

Exact(1)

Rather than excluding such probes, we noted that there was a continuum of differential alignment biases, so we took an empirical approach.

Similar(59)

Compared to static culture, pulsatile flow increased seeded ASMC growth by 70%, improved the homogeneity of cell distribution within the TDCCs and induced differential cellular alignment depending on the primary stimuli.

We used the Tuxedo Suite (Langmead et al. 2009; Trapnell et al. 2009, 2013) for alignment, differential expression analysis, and postanalysis diagnostics.

Such large differences in female/male recombination rates could be explained by the differential sex-specific alignment of chromosomes during meiosis (Lee and Wright 1981).

The transcriptomic tools are classified as spliced alignment, differential expression, alternative splicing and gene fusion and are listed in Table 2.

Differential densities of alignments suggest variable levels of agricultural intensity.

These parameters and variable amounts of sequence overlap between the individual consensus sequences within contigs resulted in differential numbers of alignments for overall diversity estimates.

CC set up and performed the majority of the bioinformatics on the sequencing runs including data retrieval, read alignments, differential gene expression analysis, KEGG pathway analysis, data interpretation and co-wrote the main manuscript with MSM.

Despite that, a progressiveMauve alignment with differential content can be trivially reduced to contain only segments conserved among all taxa of interest, yielding a signed gene-order permutation matrix that is suitable for current genome rearrangement inference software.

One factor that could contribute to asymmetrical alignment is differential affinity between each clone's TCR and cognate antigen.

The typical tasks include analysis of RNA-seq data (QC, preprocessing, alignment, quantitation, differential expression analysis, filtering and pathway analysis), ChIP-seq data (QC, preprocessing, alignment, peak calling, filtering, motif discovery and pathway analysis) and exome/genome-seq data (QC, preprocessing, alignment, variant calling and filtering).

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