Sentence examples for maps we selected from inspiring English sources

To reduce the complexity of the interaction maps we selected only the core genes (z-score >2) from the global test analysis (see Additional file 3).

In order to identify the functional similarities among metabolic maps, we selected a subset of nrESS pairwise alignments with score values of ≤0.3.

To align the Cvi-1 × L er and JEA × Col-0 genetic maps, we selected from the above markers seven SSR and SSLP markers co-localizing with the rpv1 locus and polymorphic between the JEA and Col-0 parental accessions (see Fig.  1).

After mapping, we selected nucleotide sequences from the FL-cDNA locus and CDS of TIGR Pseudomolecules Release 2 to design probes.

After mapping, we selected the reads only mapped to novel exon-exon junctions.

With the fine-scale genetic map, we selected 19 contiguous polymorphic SNPs to estimate the age (Table 2).

For single-sensor concurrent ratiometric Vm and CaT mapping, we selected dual-excitation/single-emission ratiometric dyes.

Before we performed eQTL mapping, we selected the best RNA-seq run per sample by choosing the run with the highest number of expressed genes.

For building a skeleton map, we selected error-free markers based on the presence of "twins" (i.e., markers with zero distance) in the dataset.

For sequences anchored on the coffee genetic map, we selected a maximum genetic distance of 12 cM between pairs of syntenic markers, which correspond to about 1% of the coffee genetic map (1349 cM).

To represent a QTL on a genetic map, we selected chromosome regions corresponding to a likelihood odds ratio (LOD) greater than the maxmum LOD minus 1, called an LOD-1 interval [ 44].