MG: Est proportion of SNPs using this method: across four traits (food conversion, weight etc.) mean 19 SNPs acct for 1% #PAGXXIII
11:52am January 13th 2015 via Hootsuite
MG: A better cattle model: BayesR fits a mix of normals (2012 Erbe et al J Dairy Sci http://t.co/GhHRIVEkX7 ) #PAGXXIII
11:50am January 13th 2015 via Hootsuite
MG: 2005 Johnson & Barton paper: http://t.co/h9ECYQbxjl Showing GWAS for cattle weight - long-distance LD. Large # effects #PAGXXIII
11:48am January 13th 2015 via Hootsuite
MG: Quotes Johnson & Barton 2005 "observing remarkably robust patterns... yet seeing no compelling explanation for them" #PAGXXIII
11:45am January 13th 2015 via Hootsuite
MG: By architecture: underlying # of loci, size of effects, allele freq, and how they come about as a result of drift, selection #PAGXXIII
Mike Goddard (Univ Melbourne, Australia) "The Evolution and Genetic Architecture of Complex Traits" #PAGXXIII
11:41am January 13th 2015 via Hootsuite
XC:Q:URT1 prefers truncated; does URT1 prefer erroneously-cleaved DICER prods? A:Yes, likely #PAGXXIII
11:40am January 13th 2015 via Hootsuite
XC:Q:Why Uridylation before degradation? A:Perh. to mark for degradation, some nucleases may prefer them #PAGXXIII
XC: miRNA, siRNA, piRNA, pre-miRNA can all be uridylated then degraded as well #PAGXXIII
11:38am January 13th 2015 via Hootsuite
XC: Ref 2004 Science paper http://t.co/n7j88dBbAc about addition of U to mRNA after miRNA-mediated cleavage. Now 'rediscovered' #PAGXXIII
11:37am January 13th 2015 via Hootsuite
XC: In animals, piRNA methyl by HEN1; illus. different modes of action bet plants & animals 2010 Silence http://t.co/r3M71GMUv8 #PAGXXII
11:33am January 13th 2015 via Hootsuite
XC: Idea - target RNA induces miRNA deg.; synthetic target (uncleavable), supports this 2012 Plant Cell http://t.co/ufxAD57BaL #PAGXXIII
11:30am January 13th 2015 via Hootsuite
XC: Function of 3' tails: 2012 Ann Rev Cell Dev Biol http://t.co/HhIf0SH7x3 #PAGXXIII
11:28am January 13th 2015 via Hootsuite
XC: Full-length miRNA; trunc.by SDN, tailed by URT1/HESO1. Unk enz degrades tails. TBD whether AGO1 binding affects degradation #PAGXXIII
11:24am January 13th 2015 via Hootsuite
XC: hen1 muts shown; other 9 nucleotidyl transferases w/identical patterns of tailing; A vs U pref of URT1 cp to HESO1 #PAGXXIII
11:22am January 13th 2015 via Hootsuite
XC: What deposits tail? Zhao 2012 Curr Biol http://t.co/RlZiMYRGHv describes hen1 suppressor (heso1) reducing tailing #PAGXXIII
11:19am January 13th 2015 via Hootsuite
XC: Cp full-length, truncated, truncated & tailed, tailed-only species via NGS. SDN proteins resp for miRNA 3' truncation #PAGXXIII
11:17am January 13th 2015 via Hootsuite
XC: Work from 2008 Science http://t.co/8o4dtStFJ5 of Small Degrading Nuclease genes SDN1/2 genes #PAGXXIII
11:15am January 13th 2015 via Hootsuite
XC: Conservation of HEN1 mechanism in both plants / animals. Uridylation protection 2014 Curr Biol http://t.co/2fUZ6A13V5 #PAGXXIII
11:14am January 13th 2015 via Hootsuite
XC: Steady state between biogenesis / degradation: little known about the latter. 2'-O-methylation key step of biogenesis #PAGXXIII
11:12am January 13th 2015 via Hootsuite
XC: piRNA, siRNA, miRNA impact 'nearly all biological processes' - patterning, reprod, development #PAGXXIII
11:08am January 13th 2015 via Hootsuite
RT @PhilippBayer: 2988 registered participants now! #PAGXXIII
11:07am January 13th 2015 via Hootsuite
Xuemi Chen (UC Riverside USA) "A tale of tails: Plant microRNAs: biogenesis, degradation, and modes of action" #PAGXXIII
11:06am January 13th 2015 via Hootsuite
RT @kmkubo: What College Professors Can Learn From Alan Alda — TIME http://t.co/rFia6kTnet via @AldaCenter
9:10am January 13th 2015 via Hootsuite
The most anticipated innovations coming in 2015 - The Washington Post http://t.co/4lJXFyb6Rt
8:10am January 13th 2015 via Hootsuite
A blast of cold jump-starts fat burning and generates body heat - The Washington Post http://t.co/np9Pg5ze7E
7:10am January 13th 2015 via Hootsuite
FWIW: I'm a GeoWhiz (9/10) Quiz: Can you name a city just by looking at its streets? - Washington Post http://t.co/BN28OHSjL7
6:55am January 13th 2015 via Hootsuite
RT @carlzimmer: Ebola deaths vs Ebola Google searches: a relentless climb vs fading interest. http://t.co/c906CPO6Wh http://t.co/k0So4GQpTr
5:55am January 13th 2015 via Hootsuite
What to Eat After the Apocalypse - Nautilus http://t.co/Wkioaa9k3p via http://t.co/aDbyxxiOyj
4:10am January 13th 2015 via Hootsuite
iPhone 'withdrawal' really makes people anxious - Futurity http://t.co/yF1SnV5G2u
3:15am January 13th 2015 via Hootsuite
RT @mbeisen: excellent article on absurdity of science publishing by @juliaoftoronto in @voxdotcom http://t.co/cpK7WkA0eK #openaccess
2:45am January 13th 2015 via Hootsuite
When personalized medicine, genomic research, and privacy collide. | Slate http://t.co/AvYkFYajCx #pm101
1:15am January 13th 2015 via Hootsuite
RT @TheEconomist: #Dailychart: Syria has become the biggest source of refugees in the world http://t.co/lifWR6Otvz http://t.co/gAuNnq2joO
7:42pm January 12th 2015 via Hootsuite in reply to
#PAGXXIII Thermo Fisher workshop starting in the Golden West room shortly. http://t.co/UlPjHyBpVs
3:58pm January 12th 2015 via Hootsuite
At 1250pm Golden West MT @iontorrent: At #PAGXXIII ? Dr. Schnable talks about novel genotyping approach w/o a reference using Ion Proton
2:44pm January 12th 2015 via Hootsuite in reply to
New post: Highly multiplexed PCR from any reference sequence | Behind the Bench http://t.co/sc18gZkqQy #PAGXXIII
2:36pm January 12th 2015 via Hootsuite
Today’s agenda for the @Lifetech workshop 1250pm Golden West http://t.co/G6vQFO9IOb #PAGXXIII Lots of GBS on @iontorrent BTW!
12:49pm January 12th 2015 via Hootsuite
TI:Q:What about gene-environment interaction? A:'That's the next R01' #PAGXXIII
12:31pm January 12th 2015 via Hootsuite
TI:Q:How complete does prot-prot data needs to be? A:Can 'degrade' the network ('13 Nature Bioech ref). Showed robustness #PAGXXIII
12:29pm January 12th 2015 via Hootsuite
TI:Q:Some genes better studied than others, affect results? A:Yes, can take into account 'over-connectedness' #PAGXXIII
12:28pm January 12th 2015 via Hootsuite
TI: Perhaps we are 'too close to the raw data'; looking at x-ray diffraction, rather than the overall structure. #PAGXXIII
12:24pm January 12th 2015 via Hootsuite
TI: Website for Network Extracted Ontology (NeXO) http://t.co/WzjxfsW3aI #PAGXXIII
TI: Hierarchy is experimentally derived; recovering 60% of literature-curated GO from their data #PAGXXIII
12:22pm January 12th 2015 via Hootsuite
TI: At that intermediate layer: a gene ontology. 2014 NAR ref http://t.co/zSTpKjQfaq 2013 Nat Biotech http://t.co/prIFt1O8GB #PAGXXIII
TI: a 2D protein-protein map, also gene co-exp, also genetic interaction in yeast. Cp to 3D '14 Cell http://t.co/oLT9nG2C9O #PAGXXIII
12:19pm January 12th 2015 via Hootsuite
TI: Next steps: networks are not only modular ('flat'), they are hierarchical and multi-scale. There are nested modules #PAGXXIII
12:17pm January 12th 2015 via Hootsuite
TI: Now with a priori knowledge of neurodegenerative genes, going back to exome data Novarino 2014 Science http://t.co/z3gpcnJl2m #PAGXXIII
12:16pm January 12th 2015 via Hootsuite
TI: Pathway mututations now ass'd with pt survival, separating 3 or 4 determined subtypes #PAGXXIII
12:11pm January 12th 2015 via Hootsuite
TI: Using network smoothing 2010 PLOS Comp Biol http://t.co/ZGaJTe1oRh Transforming raw gt's to a score for every gene #PAGXXIII
12:08pm January 12th 2015 via Hootsuite
TI: Using prior interaction - protein interaction sources (Pathway Commons MSKCC), HumanNet (UT Austin), StringDB (EMBL) #PAGXXIII
12:05pm January 12th 2015 via Hootsuite
