Genomic Data
Top PDF Genomic Data:
GenMiner: mining informative association rules from genomic data
... For genomic data, the minimum support threshold must be set low since if only a small set of genes are annotated into a very specific category, the support of rules containing this annotation will be quite ...
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Beyond studying genetic diversity: how can pedigree and genomic data help us assigning individuals to breeds?
... Beyond studying genetic diversity: how can pedigree and genomic data help us assigning individuals to breeds? H. Wilmot* 1 , J. Bormann 2 , N. Gengler 1 ; 1 ULiège - Gembloux Agro-Bio Tech, Gembloux, ...
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‘Overcoming the Bottleneck’: Knowledge Architectures for Genomic Data Interpretation in Oncology
... facilitate genomic data interpretation in ...of data repositories, continue to appropriately describe how information elicited from journal articles or databases is incorporated and organized within ...
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Combining Individual Phenotypes of Feed Intake With Genomic Data to Improve Feed Efficiency in Sea Bass
... of genomic predictions was twice higher than that of traditional pedigree ...of genomic data for genetic improvement of traits which are difficult to record, such as disease resistance and ...
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Mining association rule bases from integrated genomic data and annotations
... profile data to discover intrinsic associations between ...When data is dense or correlated, such as genomic data, Close reduces both execution times and memory space usage compared with ...
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Methods for staistical inference on correlated data : application to genomic data
... intera
tions, diseases spreading and e
onomi
s. 2.1 Appli
ation to biology 2.1.1 Mole
ular biology The major interest of omputational biologists has been for several de
ades the stru
tural and fun
tional hara
terisation ...
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Detection of loci under selection from temporal population genomic data through ABC random forest
... We propose the use of ABC-RF to co-estimate demography and selection in temporal population genomics data. We ran ~50.000 simulations and calculated summary statistics to construct the reference table that was ...
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A simulation approach for analyzing genomic data using a package of specific FORTRAN90 functions
... Collins, 2 Texas A&M University, College Station. Feed intake, growth, and pedigree data from the Midland Bull Test database were used to estimate parameters required for genetic evalua- tion of feed ...
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Classification performance of support vector machines on genomic data utilizing feature space selection techniques
... Many configurations (dataset, type of kernel function, C value) obtained excellent classification performance, inferring that many of the feature space selection techniq[r] ...
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Methodologies to account for crossbred and genomic data in selection for feed efficiency
... Page 5/20 2. Introduction Pigs and poultry production schemes rely on crossbreeding, where the production animals are crossbred (CB) animals (Figure 1). Thus, the breeding goal for these species is to increase CB ...
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Joint inference of effective population size and genetic load from temporal population genomic data
... allow to estimate demographic and selection parameters taking into account their interaction. Because these models are difficult to address under a likelihood framework we recourse to approximate Bayesian computation via ...
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Comparative assessment of methods for estimating individual genome-wide homozygosity-by-descent from human genomic data.
... Genealogical information for examinees was available for 3-4 ancestral generations in nearly all cases (and in some cases up to 6 generations), based on the self- reported information and parish records. No inbreeding ...
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Aggregation of experts: an application in the field of “interactomics” (detection of interactions on the basis of genomic data)
... from data acquisition to data management and ...the genomic pattern and the corresponding phenotypic variations not easy to ...complete genomic information (i.e. sequence data) was ...
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Computational analysis of genomic data provides insight into cell sensitivity to BCNU-Induced DNA damage
... Using gene expression analysis methods, we determined that the transcription factor NF-Y plays a key role in the differential response among cell lines, which is consisten[r] ...
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Learning from genomic data : efficient representations and algorithms.
... CHAPTER 2. NETNORM by the proxy mutations that were created in these patients (Fig. 2.5a ). The prognostic power of proxy genes in NetNorM comes from at least two types of information they capture. The first type of ...
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ComBo : a visualization tool for comparative genomic data
... The feature maps are synchronized with the dot plot to display identical ranges of sequences, allowing the user to focus on a subset of the alignments and compare features aroun[r] ...
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Mining association rule bases from integrated genomic data and annotations (extended version)
... To evaluate the efficiency and scalability of GenMiner, it was run on a dataset combining the Eisen et al. gene expression data [10] and annotations of these genes. Experimental results show that GenMiner can deal ...
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Joint inference of adaptive and demographic history from temporal population genomic data
... Navascu´ es (INRA, UM, UU) Joint inference of adaptive and demographic history 7/10/2019 11 / 12.. Conclusions & Perspectives[r] ...
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Handling the heterogeneity of genomic and metabolic networks data within flexible workflows with the PADMet toolbox
... drawback. Genomic data is often required, provided in different formats: either annotated genomes, and/or protein sequences, possibly associ- ated with trained Hidden Markov ...conciliating genomic ...
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MicroScope—an integrated resource for community expertise of gene functions and comparative analysis of microbial genomic and metabolic data
... user data integration Integration and analysis of genomic data into MicroScope are open and free of charge for the worldwide community of ...RNA-seq data for quantitative transcriptomics and ...
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