linkstream2 microblog

Multiple hypothesis testing in genomics
http://onlinelibrary.wiley.com/doi/10.1002/sim.6082/full Nice overview, comparing familywise error & FDR control + FDP estimation

http://www.few.vu.nl/~mavdwiel/HDDA/tutorial_multtest.pdf

QT:{{”
This paper presents an overview of the current state-of-the-art in multiple testing in genomics data from a user’s perspective. We describe methods for familywise error control, false discovery rate control and false discovery proportion estimation and confidence, both conceptually and practically, and explain when to use which type of error rate. We elaborate the assumptions underlying the methods, and discuss pitfalls in the interpretation of results. In our discussion we take into account the exploratory nature of genomics experiments, looking at selection of genes before or after testing, and at the role of validation experiments.
“}}

DNA sequence…#compression
http://bib.oxfordjournals.org/content/16/1/1.full Nice review comparing approaches on 2 axes: classic v Nextgen & reference-based v -free

Not much on LD-based approaches

Zexuan Zhu
Yongpeng Zhang
Zhen Ji
Shan He
Xiao Yang

Brief Bioinform (2015) 16 (1): 1-15.doi: 10.1093/bib/bbt087
First published online: December 3, 2013

[440 @GencodeGenes] #Pseudogenes transcribed in breast…carcinoma show subtype-specific expression & ceRNA potential http://www.biomedcentral.com/1471-2164/16/113

Similarity #network fusion for aggregating data types http://www.nature.com/nmeth/journal/v11/n3/full/nmeth.2810.html Combines mRNA, miRNA & gene fusions to classify cancer subtypes
http://compbio.cs.toronto.edu/SNF/SNF

Identification of #Asthma Phenotypes Using Cluster Analysis
http://www.atsjournals.org/doi/abs/10.1164/rccm.200906-0896OC#.VWk-gFxViko 5 canonical groups based on lung function, meds usage, &c

Canonical clustering of asthmatic patients into different groups

Analysis of the Sputum Transcriptome Discriminates Clinical Phenotypes of Asthma http://www.atsjournals.org/doi/abs/10.1164/rccm.201408-1440OC Consistent blood expression patterns

Noninvasive Analysis of the Sputum Transcriptome Discriminates
Clinical Phenotypes of Asthma (ATS Journals)

Yan, X., Chu, J.-H., Gomez, J., Koenigs, M., Holm, C., He, X., Perez,
M. F., Zhao, H., Mane, S., Martinez, F. D., Ober, C., Nicolae, D. L.,
Barnes, K. C., London, S. J., Gilliland, F., Weiss, S. T., Raby, B.
A., Cohn, L., and Chupp, G. L. “Non-Invasive Analysis of the Sputum
Transcriptome Discriminates Clinical Phenotypes of Asthma” American
Journal of Respiratory and Critical Care Medicine (2015):
doi:10.1164/rccm.201408-1440OC,

QT:{{"
Conclusions: There are common patterns of gene expression in the
sputum and blood of children and adults that are associated with near
fatal, severe and milder asthma.
"}}

Circadian #Enhancers Coordinate… Rhythmic… Transcription http://www.cell.com/cell/abstract/S0092-8674%2814%2901310-5
Periodicity helps find #eRNAs/enhancers & their targets

http://www.nature.com/ng/journal/vaop/ncurrent/full/ng.3222.html

Nat Genet. 2015 Mar 2. doi: 10.1038/ng.3222. [Epub ahead of print]

Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance.

Crowley JJ1, Zhabotynsky V1, Sun W2, Huang S3, Pakatci IK3, Kim Y1, Wang JR3, Morgan AP4, Calaway JD4, Aylor DL1, Yun Z1, Bell TA4, Buus RJ4, Calaway ME4, Didion JP4, Gooch TJ4, Hansen SD4, Robinson NN4, Shaw GD4, Spence JS1, Quackenbush CR1, Barrick CJ1, Nonneman RJ1, Kim K5, Xenakis J5, Xie Y1,Valdar W6, Lenarcic AB1, Wang W3, Welsh CE3, Fu CP3, Zhang Z3, Holt J3, Guo Z3, Threadgill DW7, Tarantino LM8, Miller DR4, Zou F5, McMillan L3, Sullivan PF9, Pardo-Manuel de Villena F4.

http://www.nature.com/ng/journal/v47/n4/full/ng.3222.html

Carefully controlled allele expt – hets midway in expr betw homs for parents for 76pct (additive model) but 25pct hets diff. from parents

ASE in…divergent mouse crosses identifies pervasive allelic imbalance, 80%, w/ 60% closely following additive model
http://www.nature.com/ng/journal/vaop/ncurrent/full/ng.3222.html

Genotype to phenotype relationships in ASD http://www.nature.com/neuro/journal/v18/n2/abs/nn.3907.html Expression differences in #brain development for LOF-containing, M v F, &c

Also, netbag finds subnets assoc w autism

A load driver device for engineering modularity in…#networks http://www.nature.com/nbt/journal/vaop/ncurrent/full/nbt.3044.html Allows joining components w/o downstream retroactivity