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Next-generation sequencing techniques such as 454 pyrosequencing methodology allow for a massive characterization of expressed genes [ 6- 10].
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The massive identification, characterization and cataloguing of plant enzymes coupled with their deployment in metabolically optimized microbes provide a high-throughput functional genomics tool and a novel strain engineering pipeline.
To date, next generation sequencing and metabolomics technologies are revolutionizing variation studies in crop by allowing the massive, simultaneous, characterization of metabolite and gene expression data from an entire, phenotypicaly diverse, populations across a range of developmental stages [ 18- 28].
The massive EST characterization described here can be considered an initial platform for the functional genomics of Olea europaea and will be a starting point for the establishment of molecular tools for improving the major quality traits in Olea species.
Since most cDNA deduced proteins came from studies of massive EST characterization, an analysis of the proteins was performed in order to determine whether each EST fragment encoded a full-length protein and the number of different ST proteins in each species.
The algorithm consists in three main steps: 1) reduction of the dimension of the image to be processed through the identification of regions of interest (roi) as candidates for massive lesions; 2) characterization of the RoI by means of suitable feature extraction; 3) pattern classification through supervised neural networks.
Massive genome-wide characterization projects have dramatically transformed our current view of genes and other elements of the genome [ 1].
We report the preparation and electrochemical characterization of massive electrochemical arrays containing as many as 110,000 highly uniform ultramicroelectrodes (UMEs).
We discuss the relevance of UV data in the detection and characterization of hot massive stars and young stellar populations in galaxies.
The data presented here demonstrate the utility of targeted sequence capture and massive parallel sequencing in detailed characterization of the genetic diversity of the donor and the recipient MHC repertoire.
Consequently, reliable simulations are necessary in the perspective of massive femtocell deployments, in particular for characterization of the impact on the coverage quality.
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