Posts Tagged ‘from’

High-throughput DNA sequence data compression

June 12, 2015

http://bib.oxfordjournals.org/content/16/1/1.abstract

CRAM vs BAM

June 10, 2015

Benchmarking
http://www.htslib.org/benchmarks/CRAM.html

Similarity network fusion for aggregating data types on a genomic scale : Nature Methods : Nature Publishing Group

June 1, 2015

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

Found this review

May 31, 2015

Nice graph of seq. machine output v time

http://www.cell.com/molecular-cell/abstract/S1097-2765(15)00340-8

Identification of Asthma Phenotypes Using Cluster Analysis in the Severe Asthma Research Program (ATS Journals)

May 30, 2015

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

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

May 30, 2015

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.
"}}

ALK Mutations Confer Differential Oncogenic Activation and Sensitivity to ALK Inhibition Therapy in Neuroblastoma: Cancer Cell

May 22, 2015

ALK Mutations Confer Differential Oncogenic Activation
http://www.cell.com/cancer-cell/abstract/S1535-6108%2814%2900393-6 MD modeling better assessing #SNV impact than stats, ie sift

ALK Mutations Confer Differential Oncogenic Activation and Sensitivity to ALK Inhibition Therapy in Neuroblastoma

Scott C. Bresler
Daniel A. Weiser
Peter J. Huwe

Ravi Radhakrishnan
Mark A. Lemmon
Yaël P. Mossé

DOI: http://dx.doi.org/10.1016/j.ccell.2014.09.019

Drosophila Muller F Elements Maintain a Distinct Set of Genomic Properties Over 40 Million Years of Evolution

May 15, 2015

“this has got to be a record… imported this into Zotero to find the total author count. It’s 1,014”
http://www.g3journal.org/content/5/5/719.abstract

Banjo Raises $100 Million to Detect World Events in Real Time

May 9, 2015

Banjo Raises $100 Million to Detect World Events in Real Time http://blogs.wsj.com/digits/2015/05/06/banjo-raises-100-million-to-detect-world-events-in-real-time Will their global "crystal ball" notice this tweet?

BRAF pseudogene and cancer development

April 17, 2015

BRAF #Pseudogene Functions as a Competitive Endogenous RNA; [Shows it] induces Lymphoma [after alteration, in mice]
http://www.cell.com/cell/abstract/S0092-8674(15)00244-5

Cell. 2015 Apr 9;161(2):319-32. doi: 10.1016/j.cell.2015.02.043. Epub 2015 Apr 2.

Karreth FA1, Reschke M1, Ruocco A1, Ng C1, Chapuy B2, Léopold V1, Sjoberg M3, Keane TM3, Verma A4, Ala U1, Tay Y1, Wu D5, Seitzer N1, Velasco-Herrera Mdel C3, Bothmer A1, Fung J1, Langellotto F6, Rodig SJ7, Elemento O4, Shipp MA2, Adams DJ3, Chiarle R8, Pandolfi PP9.

Abstract
Research over the past decade has suggested important roles for pseudogenes in physiology and disease. In vitro experiments
demonstrated that pseudogenes contribute….