Posts Tagged ‘rnaseq’

The Earliest Transcribed Zygotic Genes Are Short, Newly Evolved, and Different across Species

Monday, January 27th, 2014

Quite relevant to #transcriptome changes over #development: Earliest Transcribed… Genes Are Short, Newly Evolved…
http://www.cell.com/cell-reports/fulltext/S2211-1247(13)00788-2

The Earliest Transcribed Zygotic Genes Are Short, Newly Evolved, and Different across Species

Sunday, January 26th, 2014

http://www.cell.com/cell-reports/fulltext/S2211-1247(13)00788-2

Allele-specific expression at single cell resolution

Sunday, January 19th, 2014

QT:{{”
We discovered abundant (12 to 24%) monoallelic expression of autosomal genes and that expression of the two alleles occurs independently. The monoallelic expression appeared random and dynamic because there was considerable variation among closely related embryonic cells. Similar patterns of monoallelic expression were observed in mature cells. Our allelic expression analysis also demonstrates the de novo inactivation of the paternal X chromosome.
“}}

http://www.sciencemag.org/content/343/6167/193.full

Use of ontologies in RNAseq data analysis

Monday, December 16th, 2013

came across this paper: http://genomebiology.com/content/11/2/R14, which uses GO for RNA-seq data analysis
looks interesting – GoSeq !

RGASP papers online

Monday, November 11th, 2013

The RGASP papers are now out, back-to-back:
http://www.nature.com/nmeth/journal/vaop/ncurrent/full/nmeth.2722.html http://www.nature.com/nmeth/journal/vaop/ncurrent/full/nmeth.2714.html A tour de force.
.@markgerstein Both #rnaseq #RGASP papers list the “RGASP Consortium” as an author. But this comprises different people in the 2 papers!

Some notes from a senior author:

* Due to space constraints unfortunately most of the results are in the supplemental data.

* If it is helpful for testing updates to programs, or to compare the results against future methods not yet considered, the analysis code from each study is on GitHub: https://github.com/RGASP-Consortium.

* The papers are not open access, unfortunately.

RNA editing in Drosophila

Wednesday, October 2nd, 2013

http://www.nature.com/nsmb/journal/vaop/ncurrent/full/nsmb.2675.html
They say most editing sites identified by modENCODE are technical artifacts !

Reliable Identification of Genomic Variants from RNA-Seq Data

Wednesday, October 2nd, 2013

http://www.sciencedirect.com/science/article/pii/S0002929713003832

Accounting for technical noise in single-cell RNA-seq experiments : Nature Methods : Nature Publishing Group

Wednesday, October 2nd, 2013

http://www.nature.com/nmeth/journal/vaop/ncurrent/full/nmeth.2645.html

Systematic identification of trans eQTLs as putative drivers of known disease associations

Sunday, September 15th, 2013

http://www.nature.com/ng/journal/vaop/ncurrent/full/ng.2756.html

“They found SNPs that regulate one gene (Ikaros) in different cell types, meaning they found different cis-regulatory regions for a single gene, that map to different pathways…. they used the cell-type specific information from ENCODE data.”

PLOS Collections: A Primer on Regression Methods for Decoding cis-Regulatory Logic

Sunday, August 4th, 2013

#Regression Methods for Decoding cis-Regulatory Logic, incl. interaction terms & non-linear sigmoidal relationships
http://www.ploscollections.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1000269