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The detection of somatic mutations by analyzing sequence data involves a number of steps to filter out technical errors.
If the binding motif for the regulating transcription factor is known and can be shown to be conserved for a given subset of the sampled taxa, it is hence theoretically possible to reconstruct its associated composite TRN, or meta-network, at the metagenome level by analyzing sequence data from metagenomic projects.
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S.S., J.F.G., T.M.P., B.G., R.D. and M.H. analyzed sequence data.
We first analyzed sequence data with an automated pipeline developed specifically for three-platform sequencing.
HYK analyzed sequence data.
TM analyzed sequence data.
MRC analyzed sequence data.
By analyzing sequence conservation and gene expression data, we identify nearly 400 conserved noncoding regions.
SB analyzed sequencing data.
The HIVE CensuScope tool determines the taxonomic composition of a metagenomic sample by analyzing the sequence data through rapid iterative mapping to all known sequences using Blast.. Once the data is loaded into HIVE using HIVE's dmDownloader utility (see "HIVE Downloader Tutorial" available in main pages of HIVE website) it is available for analysis.
By analyzing imputed sequence data the QTL position on BTA04 was narrowed down to two regions in the NH.
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