MOESM4 of Detection and replication of QTL underlying resistance to gastrointestinal nematodes in adult sheep using the ovine 50K SNP array

Additional file 4: Table S3. Total list of annotated genes extracted from the Sheep Genome Assembly v3.1 using the BioMart web-tool for the significant QTL regions and SNP associations identified for the two parasite resistance traits analyzed in the present study. Among the total list of genes extracted, we identified 205 functional candidate genes involved in the immune response, based on our candidate gene survey, which are indicated in blue font colour. The colour of the rows refer to genes extracted based on the results of the Linkage Analysis (LA; green), Combined Linkage Disequilibrium and Linkage Analysis (LDLA; yellow) and Genome-wise Association Study (GWAS; blue)

MOESM3 of Detection and replication of QTL underlying resistance to gastrointestinal nematodes in adult sheep using the ovine 50K SNP array

Additional file 3: Table S2. Summary table of the correspondence between the QTL and SNP associations identified in the present study and other studies previously reported for parasite resistance traits in sheep. This table shows the correspondences found for all the QTL identified in this study (by LA, LDLA and GWAS) (indicated in green cells) with QTL previously reported based on microsatellite-based studies (compiled in the SheepQTLdb; indicated in light orange cells) and SNP chip-based studies (indicated in orange cells)

Biomedical image processing in LabVIEW

This bachelor thesis deals with the options of using the development environment of LabVIEW in specific processes such as an analyzing and biomedical image data processing. This bachelor thesis sets its goal as projecting and developing a computer program, which could process image data collected from microscopic devices. Image data from computer or external devices could be loaded into the program. It includes such functions as calculation of picture histogram, preprocessing by luminance or geometric transformations, preprocessing by smoothing filtration and edges detection and processing by segmentation. Function of the program was tested by tester images, microscopic images and also by images taken with camera straight into the program

MOESM20 of High-resolution analysis of selection sweeps identified between fine-wool Merino and coarse-wool Churra sheep breeds

Additional file 20: Table S15. Allele frequencies for the genetic variants (SNPs and indels) identified from the analysis of 28 WGSeq datasets (15 Churras and 13 Australian Merino) within the 18 genomic regions identified as CCR in the present study