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While IoT allows for the gathering, processing and analysis of massive amounts of data from a broad range of sensors inside and outside the home, there remain challenges to presenting this data to consumers in a unified and intuitive way.
A number of algorithms have been developed to accommodate analysis of massive amounts of RNA-Seq data.
Currently, we are evaluating various workflows using different programs/tools for the effective detection of a target viral genome as well as novel viral genes in computational analysis of massive amounts of sequencing data generated by NGS technology.
In this study, a pipeline was developed for the analysis of massive amounts of RNA-seq data, which was evaluated using metatranscriptome datasets obtained from the microbial ecosystem found in the human small intestine.
Availability: The centrosome tracking software along with test data is freely available at http://publications.mpi-cbg.de/itemPublication.html?documentId=4082 Contact: [email protected] Genetic screens that produce and require analysis of massive amounts of image data are becoming a major tool in functional genomics.
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In conclusion, our approach has the potential to further elucidate stress-specific mechanisms in plants via meta-analysis of massive amounts of microarray data.
The advances in IT that enabled the capture, analysis and storage of massive amounts of data contributed also to this avalanche of data.
A key benefit of Deep Learning is the analysis and learning of massive amounts of unsupervised data, making it a valuable tool for Big Data Analytics where raw data is largely unlabeled and un-categorized.
The availability of massive amounts of GWAS data has necessitated the development of new biostatistical methods for quality control, imputation and analysis issues including multiple testing.
Despite this, a major limitation involves the interpretation of massive amounts of microarray data.
Next generation sequencing (NGS) provides opportunities for cost-effective sequencing of massive amounts of DNA.
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