Sentence examples for expression were assigned using from inspiring English sources

Genes were assigned to KEGG pathways [ 87 ] using the KOBAS annotation pipeline [ 88 ], and colours representing differential expression were assigned using the KEGG web server [ 122 ]. (PDF 613 kb).

Replicates were transformed to log2 normalised mean expression (NME), and gene symbols were assigned using the mouse4302.db library in R. Using the background gene assignments from section 'GO Analysis', 1000 genes were drawn at random, and the median of each tissue/cell expression profile for these genes was calculated from the NME of all samples.

All data sets were screened for sex-biased expression at FDR ≤ 0.01, and peptide sequences were assigned using Tcas_3 from BeetleBase (Wang et al. 2007), Dmel_r5.21 from FlyBase (Tweedie et al. 2009), and AgamP3.5 from VectorBase (Lawson et al. 2007).

Single-cell-specific regulatory relationships between genes and their nearby accessible regions (1 Mb upstream-downstream) were assigned using the scCAT-seq data following a three steps strategy: (1) identification of active TFs for every cell by pySCENIC22, using the normalized gene expression matrix: regulons were defined based on the co-expression of TFs and their target genes across cells.

Alleles were assigned using GeneMapper Software v37 (Applied Biosystems).

Haplotypes were assigned using PHASE (version 2.1).

Gene Ontology functions were assigned using GOblet.

Protein probabilities were assigned using Protein Prophet.

Spectra were assigned using CCPNMR [ 42].

Only 5,315 functions were assigned using NCBI COGs.

Hydrogen bonds were assigned using HBPLUS.