MOESM5 of Exploring the mechanisms of resistance to Teladorsagia circumcincta infection in sheep through transcriptome analysis of abomasal mucosa and abomasal lymph nodes

Additional file 5. Gene-set enrichment analysis (GO) for the highly expressed genes in lymph node tissue. Significant terms from the Gene Ontology (GO) enrichment analysis performed with WebGestalt for the genes identified as highly expressed (≥ 500 FPKM) specifically in lymph node

MOESM1 of Exploring the mechanisms of resistance to Teladorsagia circumcincta infection in sheep through transcriptome analysis of abomasal mucosa and abomasal lymph nodes

Additional file 1. Gene expression levels in the two tissues and conditions studied. Distribution of gene expression levels for the genes expressed in the transcriptome of abomasal mucosa and abomasal lymph node samples for the two groups of animals compared in the present study

MOESM8 of Exploring the mechanisms of resistance to Teladorsagia circumcincta infection in sheep through transcriptome analysis of abomasal mucosa and abomasal lymph nodes

Additional file 8. List of DEGs identified as GIN-activated genes for the abomasal lymph node samples (Resistant and Susceptible ewes to T. circumcincta infection). The log2FoldChange value obtained from the EdgeR and DESeq analyses are given for the genes identified as GIN-activated in the resistant group and for the genes identified as GIN-activated in the susceptible group

MOESM9 of Exploring the mechanisms of resistance to Teladorsagia circumcincta infection in sheep through transcriptome analysis of abomasal mucosa and abomasal lymph nodes

Additional file 9. Significant terms from the Gene Ontology (GO) enrichment analysis performed with WebGestalt for the genes identified as GIN-activated in abomasal lymph node tissue. The results of the GO enrichment analysis are provided separately for the genes identified as up-regulated in the resistant and susceptible groups

MOESM7 of Exploring the mechanisms of resistance to Teladorsagia circumcincta infection in sheep through transcriptome analysis of abomasal mucosa and abomasal lymph nodes

Additional file 7. List of genes identified as significantly differentially expressed genes (DEGs) by the DESeq analysis for the abomasal mucosa samples. The log2FoldChange value obtained from the DESeq analysis is given for the genes identified as up-regulated in the resistant group and for the genes identified as up-regulated in the susceptible group

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