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Full-Text Articles in Genetics and Genomics
Rseqrep: Rna-Seq Reports, An Open-Source Cloud-Enabled Framework For Reproducible Rna-Seq Data Processing, Analysis, And Result Reporting, Travis L. Jensen, Michael Frasketi, Kevin Conway, Leigh Villarroel, Heather Hill, Konstantinos Krampis, Johannes B. Goll
Rseqrep: Rna-Seq Reports, An Open-Source Cloud-Enabled Framework For Reproducible Rna-Seq Data Processing, Analysis, And Result Reporting, Travis L. Jensen, Michael Frasketi, Kevin Conway, Leigh Villarroel, Heather Hill, Konstantinos Krampis, Johannes B. Goll
Publications and Research
RNA-Seq is increasingly being used to measure human RNA expression on a genome-wide scale. Expression profiles can be interrogated to identify and functionally characterize treatment-responsive genes. Ultimately, such controlled studies promise to reveal insights into molecular mechanisms of treatment effects, identify biomarkers, and realize personalized medicine. RNA-Seq Reports (RSEQREP) is a new open-source cloud-enabled framework that allows users to execute start-to-end gene-level RNA-Seq analysis on a preconfigured RSEQREP Amazon Virtual Machine Image (AMI) hosted by AWS or on their own Ubuntu Linux machine. The framework works with unstranded, stranded, and paired-end sequence FASTQ files stored locally, on Amazon Simple Storage …
Improved Evidence-Based Genome-Scale Metabolic Models For Maize Leaf, Embryo, And Endosperm, Samuel M. D. Seaver, Louis M. T. Bradbury, Océane Frelin, Raphy Zarecki, Eytan Ruppin, Andrew D. Hanson, Christopher S. Henry
Improved Evidence-Based Genome-Scale Metabolic Models For Maize Leaf, Embryo, And Endosperm, Samuel M. D. Seaver, Louis M. T. Bradbury, Océane Frelin, Raphy Zarecki, Eytan Ruppin, Andrew D. Hanson, Christopher S. Henry
Publications and Research
There is a growing demand for genome-scale metabolic reconstructions for plants, fueled by the need to understand the metabolic basis of crop yield and by progress in genome and transcriptome sequencing. Methods are also required to enable the interpretation of plant transcriptome data to study how cellular metabolic activity varies under different growth conditions or even within different organs, tissues, and developmental stages. Such methods depend extensively on the accuracy with which genes have been mapped to the biochemical reactions in the plant metabolic pathways. Errors in these mappings lead to metabolic reconstructions with an inflated number of reactions and …
High-Throughput Comparison, Functional Annotation, And Metabolic Modeling Of Plant Genomes Using The Plantseed Resource, Samuel M. D. Seaver, Svetlana Gerdes, Océane Frelin, Claudia Lerma-Ortiz, Louis M. T. Bradbury, Rémi Zallot, Ghulam Hasnain, Thomas D. Niehaus, Basma El Yacoubi, Shiran Pasternak, Robert Olson, Gordon Pusch, Ross Overbeek, Valérie De Crécy-Lagarde, Doreen Ware, Andrew D. Hanson, Christopher S. Henry
High-Throughput Comparison, Functional Annotation, And Metabolic Modeling Of Plant Genomes Using The Plantseed Resource, Samuel M. D. Seaver, Svetlana Gerdes, Océane Frelin, Claudia Lerma-Ortiz, Louis M. T. Bradbury, Rémi Zallot, Ghulam Hasnain, Thomas D. Niehaus, Basma El Yacoubi, Shiran Pasternak, Robert Olson, Gordon Pusch, Ross Overbeek, Valérie De Crécy-Lagarde, Doreen Ware, Andrew D. Hanson, Christopher S. Henry
Publications and Research
There is a growing demand for genome-scale metabolic reconstructions for plants, fueled by the need to understand the metabolic basis of crop yield and by progress in genome and transcriptome sequencing. Methods are also required to enable the interpretation of plant transcriptome data to study how cellular metabolic activity varies under different growth conditions or even within different organs, tissues, and developmental stages. Such methods depend extensively on the accuracy with which genes have been mapped to the biochemical reactions in the plant metabolic pathways. Errors in these mappings lead to metabolic reconstructions with an inflated number of reactions and …