Posts Tagged ‘jclub’
Journal Club by JG
Friday, July 27th, 2018TWAS of 229k women identifies new candidate susceptibility genes for breast cancer https://www.Nature.com/articles/s41588-018-0132-x Metascan approach. Derive model for imputing transcriptome from #GTEx & validate against TCGA. Application to BCAC.
Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder | Nature Neuroscience
Friday, July 27th, 2018Genome-wide prediction & functional characterization of the genetic basis of autism spectrum disorder, by @OlgaTroyanskaya lab
https://www.Nature.com/articles/nn.4353 Intersected candidate #ASD genes w/ #BrainSpan gene expression to find a pre-natal signal for the disease
Today: Jason Moore, Computational Biology and Bioinformatics speaker, 6-6-18 in BML Auditorium at 4 pm
Friday, June 8th, 2018Papers for Journal Club
Thursday, June 7th, 2018Alternative evolutionary histories in the sequence space of an ancient protein https://www.Nature.com/articles/nature23902 Great viz of different potential but not necessarily realized evolutionary trajectories. Quite relevant for molecular #evolution & #pseudogenes
Paper for Journal Club Tomorrow
Tuesday, May 22nd, 2018Susceptibility of brain atrophy to TRIB3 in #Alzheimer’s disease, evidence from functional prioritization in imaging genetics
http://www.PNAS.org/content/115/12/3162.long Nice connection of developing phenotypes from #imaging, combined w. simple polygenic scores from genotypes
ADNI Website
Sunday, May 20th, 2018Genome-Scale Signatures of Gene Interaction from Compound Screens Predict Clinical Efficacy of Targeted Cancer Therapies – ScienceDirect
Sunday, April 29th, 2018Genome-Scale Signatures of Gene Interaction from #CompoundScreens Predict…Efficacy of Targeted Cancer Therapies
https://www.ScienceDirect.com/science/article/pii/S2405471218300097 How to find drug combos: Find expression response profiles associated w/ a drug target. A synergistic drug might change profiles similarly
Fast, scalable prediction of deleterious noncoding variants from functional and population genomic data | Nature Genetics
Monday, March 19th, 2018Fast, scalable prediction of deleterious #noncoding variants from functional & population genomic data
https://www.Nature.com/articles/ng.3810 LINSIGHT, by @ASiepel et al., combines DNAse & conservation information
Yi-Fei Huang, Brad Gulko & Adam Siepel
Nature Genetics 49, 618–624 (2017)
doi:10.1038/ng.3810
Published online:
13 March 2017
JClub by BW on “3D clusters of somatic mutations in cancer reveal numerous rare mutations as functional targets”, Genome Medicine
Monday, February 5th, 20183D clusters of somatic mutations…reveal numerous rare mutations as functional targets
https://GenomeMedicine.BiomedCentral.com/articles/10.1186/s13073-016-0393-x Introduces 3DHotSpots, which is one of a number of recent approaches (incl. CLUMPS, Hotspot3D, Mutation3D & HotMAPS) for finding groupings of somatic SNVs via structure