Sentence examples for maps were mainly from inspiring English sources

These four maps were mainly based on microsatellites, Restriction Fragment Length Polymorphisms (RFLPs) and protein polymorphisms.

Other maps were mainly based on anonymous dominant AFLP, RAPD, RFLP and DArT markers [ 26, 28, 33].

Earlier maps used RFLP or AFLP markers, while the later maps were mainly based on SSR markers.

The connectivity maps were mainly distributed in the bilateral insular cortex, secondary somatosensory cortex (subregions OP1 4), and inferior parietal cortex for the three stimulation conditions (i.e., L-D, M-P, and M-D).

These low density maps were mainly based on isozymes [ 15, 16], RAPD (randomly amplified polymorphic DNA), RFLP (restriction fragment length polymorphism), AFLP (amplified fragment length polymorphism) and SRAP (sequence related amplified polymorphism) markers, and only a limited number of SSR (simple sequence repeat) markers [ 17- 19].

Validation of landslide susceptibility/hazard zonation maps are mainly based on the confusion matrix or contingency table (Bonham-Carter 1994).

In Kalimantan, discrepancies between maps are mainly for East Kalimantan, where there is 5 km3 less peat volume on the MoA than on the WI maps.

Linkage maps of kelp have been tentatively constructed (e.g., [ 64]); unfortunately the markers on these maps are mainly AFLPs which are not transferable among populations.

The lack of common markers across carrot maps is mainly due to an insufficient availability of informative and robust PCR-based markers.

The obstacles to high quality mapping were mainly differences in agreement between coders due to both structural and content factors in SNOMED CT and ICD-10/KSH97-P ICD-10/KSH97-P ICD-10/KSH97-P

Obstacles to high quality mapping were mainly a lack of agreement by the coders due to structural and content factors in SNOMED CT and in the current ICD-10 version.