Genetic effects on coat colour in cattle: dilution of eumelanin and phaeomelanin pigments in an F2-Backcross Charolais × Holstein population-0

<p><b>Copyright information:</b></p><p>Taken from "Genetic effects on coat colour in cattle: dilution of eumelanin and phaeomelanin pigments in an F2-Backcross Charolais × Holstein population"</p><p>http://www.biomedcentral.com/1471-2156/8/56</p><p>BMC Genetics 2007;8():56-56.</p><p>Published online 16 Aug 2007</p><p>PMCID:PMC1994163.</p><p></p>d considered seven subcategories (White, Off-White, Light-Grey, Dark-Grey, Light-Red, Dark-Red and Black)

final_data

Characteristics of 728 UK Labrador Retrievers (e.g. sex, geographic region, role, coat colour). Further description in readme.txt file

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

Convergence candidate regions (CCR) for selection signals identified for dairy sheep.

<p>A CCR region was defined when overlapping selection regions identified by the genetic differentiation analysis (in at least two breed pairs), averaged for a 9-SNP window size (F_ST), and by at least one of the two heterozygosity-based analysis methodologies (in at least two breeds): observed heterozygosity, averaged for a 9-SNP window size (ObsHtz), and regression analysis, considering a 10-Mb bracket size (Regression).</p><p>^*For Regression results, this indicates the closest marker to the Start/End position.</p

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

Case Marker O and its Transitive Function

Questionnaire used to determine phenotypic and lifestyle information. (PDF 394 kb

Convergence candidate regions (CCR) for ovine dairy selection sweeps identified in this study.

<p>The interval of each region (in bp) is based on the sheep genome reference sequence v2.0 (<a href="http://www.livestockgenomics.csiro.au/cgi-bin/gbrowse/oarv2.0/" target="_blank">http://www.livestockgenomics.csiro.au/cgi-bin/gbrowse/oarv2.0/</a>). The corresponding orthologous bovine genomic intervals are based on the bovine genome reference sequence UMD 3.1 (<a href="http://www.ensembl.org/Bos_taurus/Info/Index" target="_blank">http://www.ensembl.org/Bos_taurus/Info/Index</a>). The positional candidate genes that map within the bovine candidate range and that are included as candidate genes for milk production and mastitis traits in the database provided by Ogorevc et al. <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094623#pone.0094623-Ogorevc1" target="_blank">[22]</a> are indicated as functional candidate genes. The affected trait and CattleQTLdb reference for previously reported cattle QTL that map within the bovine candidate genomic regions and that influence milk production traits or other functional traits related to dairy production are also indicated.</p>1<p>Other candidate genes. This category includes two types of genes:</p><p>–Those that although are not included in the Ogorevc et al. <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094623#pone.0094623-Ogorevc1" target="_blank">[22]</a> database may be considered as candidate genes in relation to milk production related traits based on other studies.</p><p>–Those that are likely to be related to non-dairy selection signatures such as morphological traits and coat colour features.</p>2<p>CattleQTLdb identifier: Search reference number at <a href="http://www.animalgenome.org/cgi-bin/QTLdb/BT/search" target="_blank">http://www.animalgenome.org/cgi-bin/QTLdb/BT/search</a> to find complete details about QTL reported in the orthologous region of the corresponding sheep CCR identified in this study.</p>3<p>Number of positional candidate genes extracted from the orthologous bovine region using BioMart for each of the labeled CCRs (based on <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0094623#pone.0094623.s003" target="_blank">Table S3</a>).</p

archive.tar

Genotype data (plink-format) for 728 UK Labrador Retrievers, using Illumina CanineHD SNP array. See readme.txt and text for further details

Breeds included in the present study.

<p>The classification established into Dairy and Non-dairy groups are presented together with some details about the breed aptitude.</p

Initial candidate regions identified on the basis of the regression analysis performed for detection of regions with asymptotic heterozygosity patterns in at least two of the dairy breeds (top 0.5% results for bracket sizes 5, 10 and 20 Mb).

<p>We also indicate if the same signature of selection was also identified in the non-dairy breeds.</p