Difference between revisions of "De novo structure prediction"
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<div class="reference-box">[http://fold.it/portal/ FoldIt]</div> | <div class="reference-box">[http://fold.it/portal/ FoldIt]</div> | ||
<div class="reference-box">[http://zhanglab.ccmb.med.umich.edu/ Zhang Lab (UMich)]</div> | <div class="reference-box">[http://zhanglab.ccmb.med.umich.edu/ Zhang Lab (UMich)]</div> | ||
| + | <div class="reference-box">[http://depts.washington.edu/bakerpg/drupal/ Baker Lab (UWash)]</div> | ||
<div class="reference-box">{{RepoPDF|Zhang(2012)StructurePrediction.pdf|Y. Zhang (2012) Protein Structure Prediction. Encyclopedia of Life Sciences.}}</div> | <div class="reference-box">{{RepoPDF|Zhang(2012)StructurePrediction.pdf|Y. Zhang (2012) Protein Structure Prediction. Encyclopedia of Life Sciences.}}</div> | ||
Revision as of 00:46, 8 November 2012
ab initio Structure Prediction
Summary ...
Contents
Further reading and resources
| Malone & Oliver (2011) Microarrays, deep sequencing and the true measure of the transcriptome. BMC Biol 9:34. (pmid: 21627854) |
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[ PubMed ] [ DOI ] Microarrays first made the analysis of the transcriptome possible, and have produced much important information. Today, however, researchers are increasingly turning to direct high-throughput sequencing -- RNA-Seq -- which has considerable advantages for examining transcriptome fine structure -- for example in the detection of allele-specific expression and splice junctions. In this article, we discuss the relative merits of the two techniques, the inherent biases in each, and whether all of the vast body of array work needs to be revisited using the newer technology. We conclude that microarrays remain useful and accurate tools for measuring expression levels, and RNA-Seq complements and extends microarray measurements. |
