genomic data
Use of data-biased random walks on graphs for the retrieval of context-specific networks from genomic data.
... the data with prior knowledge interactions of the measured molecules for the retrieval of most relevant biomolecular networks ...the data within the context of known functional interactions between ...
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A quick guide to large-scale genomic data mining.
... biological data accumulating at an exponential rate, large-scale genomic data mining is in- creasingly becoming a ...since data are becoming available at a rate that outpaces even Moore’s law, ...
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Testing the ortholog conjecture with comparative functional genomic data from mammals.
... A common assumption in comparative genomics is that orthologous genes share greater functional similarity than do paralogous genes (the ‘‘ortholog conjecture’’). Many methods used to computationally predict protein ...
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Evaluating the Cassandra NoSQL Database Approach for Genomic Data Persistency
... of data generated by automatic ...of genomic data, particularly storing and analyzing these large-scale processed ...Other data models may be more effective when dealing with a very large ...
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Low density genomic data for animal breeding: critical analysis and perspectives of the GoldenGate Beadxpress technology
... Regarding the structure and procedures required to generate genomic data, it is worth mentioning some of the difficulties that can be encountered, especially in the laboratory perspective. The VeraCode ...
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The role of genomic data in the discovery, annotation and evolutionary interpretation of the interferon-lambda family.
... Previously [7], we provided a brief description of how we discovered this gene family. Specifically, we compiled a set of appropriately sized (140–200 residues), potentially secreted proteins [14] from human gene ...
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Deep Learning for genomic data analysis
... of genomic data has been ...of data enables an advanced and more detailed analysis, which leads to advances in ...research. Data gener- ated by sequencing methods, like RNA-Seq, can be used to ...
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A New Approach for Identifcation of Cancer-related Pathways using Protein Networks and Genomic Data
... dynamical data. Unfortunately, this type of data is not largely ...omics data and available biological knowledge to get new information about the elements of the control system in cancer ...omics ...
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Common minor histocompatibility antigen discovery based upon patient clinical outcomes and genomic data.
... Previous investigations have assessed specific mHA mismatches in effecting differences in survival [3,19,20]. Because our discovery method was intended to identify high prevalence candidate minor antigens, primarily ...
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Integrative genomic data mining for discovery of potential blood-borne biomarkers for early diagnosis of cancer.
... It has been observed that the expression of common tumor markers related to universal oncogenic processes is stable and unlikely to be affected by the natural progression of cancer [15]. Therefore, the identification of ...
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Compression and analysis of genomic data
... of genomic sequences needs to be addressed with methods/tools that are aware of these difficulties ...the data after sequencing, such as FASTQ, BAM, SAM, VCF, FASTA, among ...
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Gitools: analysis and visualisation of genomic data using interactive heat-maps.
... To illustrate the use of Gitools we have prepared one case study in which all 5 analysis methods currently available in Gitools are used (Figure 2). We used a data set containing 156 non-small cell lung carcinomas ...
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Analysis of inter genomic word distance distributions
... The search for features in genomic data by inter- word distances and by word frequency are obviously related. However, a plain distinction between the two kinds of features’ study exists. Over-represented ...
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Genomic diversity within the Enterobacter cloacae complex.
... sequence data revealed that the ...sequence data was appropriate for phylogenetic studies, we assessed whether positive selection might have affected our data using two population genetic tests: ...
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Valid consent for genomic epidemiology in developing countries.
... in genomic epidemiology in developing ...for genomic epidemiology; the development of models for embedded empirical research on obtaining valid consent; research into the ethical and social factors ...
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A genomic approach to elucidating grass flower development
... Using data from the Sugarcane Expressed Sequence Tag (EST) Project (SUCEST) database, we have identified all sugarcane proteins and genes putatively involved in reproductive meristem and flower ...
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Lymphocytes in hemochromatosis: a genomic and functional approach
... informative data about the genetic transmission of the syndrome was obtained through family studies that allowed to confirm the autosomal recessive disease inheritance in linkage with the HLA ...
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Genomic prediction for tuberculosis resistance in dairy cattle.
... ROC curves, showing the utility of DGVs as predictors of the binary phenotype, are shown in Figure 1. In these ROC curve plots, the comparison of interest is with the outcome that would be expected by chance (diagonal ...
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Genomic imbalances in patients with intellectual disability
... Regarding the still inconclusive cases, special attention needs to be given to the duplication effects when this is not covering the totality of a gene. The most straightforward way of interpreting the duplications ...
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Genomic Pathogen Typing Using Solid-State Nanopores.
... The rate of convergence and maximum confidence of the posterior probability curves shown in Fig 3C and 3D are also dependent upon the number M of translocations used for fit- ting the GMM. Fig 3E and 3F show posterior ...
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