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The application of next generation sequencing technologies and bioinformatic scripts to identify high frequency SNPs distributed throughout the peach genome is described.
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MA ran the bioinformatic pipeline used to assemble ESTs, wrote Perl scripts to identify SNPs and created the EST website.
Previously the database administrators had to run special scripts to identify and locate the problem.
We then used custom Perl scripts to identify mismatches in the alignments.
MFC, GAGP and LCN created the Perl scripts to identify the microRNAs.
We used another custom PERL script to identify microsatellite repeats within majority-rule consensus sequences.
Multiple sequence alignments were scanned using a custom Perl script to identify polymorphic columns.
Michelle Catalina et al. use a bioinformatic approach to identify interferon genes with potential roles in systemic lupus erythematosus (SLE).
We conducted a bioinformatic study to identify transcription factor(s) involved in SIRT3 induction.
The team began by using a bioinformatic analysis to identify compounds that affected signaling pathways previously linked to multiple sclerosis.
Here, we developed and implemented a bioinformatic approach to identify putative r5′UTRs from within large datasets of RNAs recently identified by pyrosequencing of the Vibrio cholerae small transcriptome.
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