Search results for "Genomic data"

showing 3 items of 23 documents

Whole-Genome Analyses

2014

Abstract Average nucleotide identity (ANI) was proposed almost 10 years ago as a means to compare genetic relatedness among prokaryotic strains. It was found that values around 95% corresponded to the 70% DNA–DNA hybridization cut-off value that is widely used to delineate archaeal and bacterial species. ANI calculations are one of the many aspects and approaches that can be derived from comparative genomic data and used for taxonomic purposes. Here, an overview about the impact and current usage of ANI values is given together with details of the existing user-friendly package tool, the biology-oriented software package JSpecies, which can be used to generate two types of ANI calculations …

body regionsComparative genomicsGeneticsDNA–DNA hybridizationGenomic dataIdentity (object-oriented programming)Computational biologyGenetic relatednessBiologySoftware packageGenome
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BOVITA: a first overview on genome-wide genetic diversity of Italian autochthonous cattle breeds

2017

breedsItalycattleparasitic diseasessingle nucleotide polymorphism inbreeding genomic diversity population structure Italian cattle breedsgenomic data cattle Italy breedsgenomic data
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The Three Steps of Clustering in the Post-Genomic Era: A Synopsis

2011

Clustering is one of the most well known activities in scientific investigation and the object of research in many disciplines, ranging from Statistics to Computer Science. Following Handl et al., it can be summarized as a three step process: (a) choice of a distance function; (b) choice of a clustering algorithm; (c) choice of a validation method. Although such a purist approach to clustering is hardly seen in many areas of science, genomic data require that level of attention, if inferences made from cluster analysis have to be of some relevance to biomedical research. Unfortunately, the high dimensionality of the data and their noisy nature makes cluster analysis of genomic data particul…

cluster validation indicesSettore INF/01 - InformaticaProcess (engineering)Computer sciencebusiness.industryGenomic datadistance functionMachine learningcomputer.software_genreObject (computer science)ClusteringCluster algorithmPredictive powerRelevance (information retrieval)Artificial intelligenceHigh dimensionalitybusinessCluster analysiscomputer
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