Development of more advanced statistical and computational methodologies is required to keep pace with new experimental technologies in molecular biology and genetics. Challenges to be met include dealing with increased volumes of data, improving the robustness of inference to noise in the data, and enhancing the models to make them biologically more realistic.
Statistical Genomics & Bioinformatics
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We celebrated our Annual Meeting, this year on the theme of "Statistical Genomics and Bioinformatics: Opportunities, Challenges and Limits"
Antimicrobial resistance gene profiles in livestock and linked environments
Establishing routes of AMR transmission and persistence from farm animals to the local soil, vegetation and wildlife environment.
Earlier this year, BioSS presented research at a conference organised by the Scottish Government's RESAS
Insight into the genetic variation of Scottish wild blueberries and their relevance for potential cultivars
Analysing the genetic diversity of Scottish wild blueberries to understand how this is related to the geographic distribution.
Classifying tumour biopsies
Scientists from the Rowett Institute of Nutrition and Health have developed a targeted in-house multiplex gene array to measure expression of 21 markers (genes) known to be involved in the development of colorectal cancer.
Locating genes for key traits in plants
Knowledge of the location of genes for important crop traits, such as yield, disease resistance, or crop timing, is crucial for breeding novel varieties that can be grown more efficiently and sustainably.
Linkage analysis in tetraploid potato using dosage information
In the past linkage maps have generally been constructed from binary data indicating the presence or absence of short sequences of DNA in parents and offspring.
Rapid typing of E. coli isolates using whole cell MALDI mass spectrometry
Foodborne pathogens, including E. coli O157 and related strains (collectively called enterohaemorrhagic E. coli– EHEC), continue to cause public health problems, requiring typing of strains during outbreak investigations.
Linkage map construction in blackcurrant using genotyping by sequencing data
Genetic linkage maps are a vital tool for locating genes responsible for important traits such as yield or disease resistance in plants and animals, and modern genotyping technologies are leading to increasingly dense maps.
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