High-throughput functional testing of ENCODE segmentation
predictionsGenome Res. October 2014 24: 1595-1602; Published in Advance July 17, 2014,
that can be used for training predicted enhancers
https://wordy.com/ — not exactly but in the same space.
turk-powered “Shortn” app, which is actually part of a larger system called soylent (brilliant).
http://people.csail.mit.edu/msbernst/research.html
the "circle of life"
http://www.sciencedirect.com/science/article/pii/S0960982214001547#
Volume 24, Issue 6, pR238–R240, 17 March 2014
Evolution: Dynamics of De Novo Gene Emergence
Rafik Neme
Diethard Tautz
Crowd-sourcing w AMZN mechanical turk
also odesk
http://www.behind-the-enemy-lines.com/2012/02/mturk-vs-odesk-my-experiences.html
You can click in different locations in your notebook and record audio there. To see where you’ve recorded audio in your notebook, on the Audio Notes tab, under Advanced, click Show. Recorded audio is marked by the Audio Note icon.
http://office.microsoft.com/en-001/mac-word-help/record-audio-notes-HA102929550.aspx
Curation of gene–mutation relations… automated extraction &
#crowdsourcing http://database.oxfordjournals.org/content/2014/bau094.abstract?ct $AMZN’s turkers help to get 90% accuracy
Translation & transcription; Connected to an app & api (via zapier)
https://www.rev.com/translation/business
Server for predicting damaging missense #mutations
http://www.nature.com/nmeth/journal/v7/n4/full/nmeth0410-248.html Polyphen2 uses both structure & sequence (eg ASA & conservation)
http://www.ncbi.nlm.nih.gov/pubmed/20354512
Polyphen2 includes both structural and sequence features to predict the effect of nonsynonymous substitutions on protein function. Similar to many other methods, Polyphen2 uses evolutionary conservation as one of the features to identify functionally important residues. Integration of 3D-structure, membrane-specific features (PHAT matrix for TM regions) and other features such as protein-domain and active-site are the strengths of Polyphen2 compared to other sequence-based software making it a good tool for prediction.
Multiplatform assessment of #transcriptome profiling [w.] RNAseq http://www.nature.com/nbt/journal/v32/n9/full/nbt.2972.html Nice plots showing great effect of poly-A selection