Posts Tagged ‘from’

seasonal effects on gene expression

Sunday, August 9th, 2015

Widespread [25% genes] seasonal…expression reveals [circ]annual differences in…immunity, relevant for vaccination http://www.nature.com/ncomms/2015/150512/ncomms8000/full/ncomms8000.html

In addition to circadian rhythms, batch effects, now consider seasonal effects on gene expression

High-throughput DNA sequence data compression

Sunday, August 9th, 2015

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

Illumina poster of -seq experiments

Sunday, August 9th, 2015

Poster of -Seq expts from @Illumina
http://www.illumina.com/content/dam/illumina-marketing/documents/applications/ngs-library-prep/ForAllYouSeqMethods.pdf Nextgen update to @Roche’s famous biochem. #pathway chart
http://biochemical-pathways.com/#/map/1

Originally Boehringer Mannheim chart of pathways

http://web.expasy.org/pathways/

L1 – Somatic – Brain – Single cell DNA

Friday, August 7th, 2015

Cell Lineage Analysis in Human Brain Using Endogenous Retroelements http://www.sciencedirect.com/science/article/pii/S0896627314011374 Somatic events from #neuron #singlecell WGS

BMC Genomics | Full text | Pseudogenes transcribed in breast invasive carcinoma show subtype-specific expression and ceRNA potential

Friday, July 31st, 2015

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

Single cell Genome + Transcriptome Sequencing

Tuesday, July 28th, 2015

G&T-seq: parallel…#singlecell genomes & transcriptomes by @CGATist
lab & others http://www.nature.com/nmeth/journal/vaop/ncurrent/full/nmeth.3370.html low cov. matched data on 130+ cells

https://twitter.com/CGATist/status/604271101678587904

G&T-seq: parallel sequencing of single-cell genomes and transcriptomes

Iain C Macaulay,
Wilfried Haerty,
Parveen Kumar,
Yang I Li,
Tim Xiaoming Hu,
Mabel J Teng,
Mubeen Goolam,
Nathalie Saurat,
Paul Coupland,
Lesley M Shirley,
Miriam Smith,
Niels Van der Aa,
Ruby Banerjee,
Peter D Ellis,
Michael A Quail,
Harold P Swerdlow,
Magdalena Zernicka-Goetz,
Frederick J Livesey,
Chris P Ponting
& Thierry Voet

Nature Methods 12, 519–522 (2015) doi:10.1038/nmeth.3370Received 18 November 2014 Accepted 27 March 2015 Published online 27 April 2015

H1B visa statistics

Thursday, July 23rd, 2015

http://www.myvisajobs.com/

Oqtans: the RNA-seq workbench in the cloud for complete and reproducible quantitative transcriptome analysis. – PubMed – NCBI

Tuesday, July 21st, 2015

http://Oqtans.org: RNAseq…in the cloud by @gxr http://bioinformatics.oxfordjournals.org/content/30/9/1300.long Distributing a tool in many ways: AMI, GIT, Galaxy workflow, &c
Nice illustration how to distribute a tool in many forms —

AMI, GIT, Galaxy workflow + more.

* Sreedharan et al. Oqtans: the RNA-seq workbench in the cloud for
complete and reproducible quantitative transcriptome analysis.

The authors describe an open source transcriptome analysis software
package, Oqtans. The package contains a variety of existing analysis
tools (from short-read alignment, transcript quantification and
expression analysis) assembled into a comprehensive workflow. The
package can be either run locally or as a virtual machine in the cloud
using the AWS. One innovative feature is the availability of comparing
the efficiency of the integrated tools on the same data set. Oqtans is
a highly modular software package that can be easily extended. It also
offers the possibility to create customized workflows based on the
integrated tools available.

pQTLs

Tuesday, July 21st, 2015

Impact of regulatory variation from RNA to protein
http://www.sciencemag.org/content/347/6222/664.abstract pQTLs for prot levels less related to #eQTLs & rQTLs than expected

How genetics affect phenotypic variation
http://www.sciencemag.org/content/347/6222/664.abstract

Moore’s law is not that easy to follow anymore

Thursday, July 16th, 2015

http://thenextweb.com/insider/2015/07/16/intel-quietly-admits-that-its-struggling-with-moores-law/