archives

Date

(Velculescu VE, 1997) Characterization of the Yeast Transcriptome @Cell #20060730

HI HexiRPA000010
DN (Velculescu VE, 1997) Characterization of the Yeast Transcriptome @Cell #20060730
DA 2006.07.30
CP Cell. 1997 Jan 24;88(2):243-51.
TI Characterization of the yeast transcriptome.
AU Velculescu VE, Zhang L, Zhou W, Vogelstein J, Basrai MA, Bassett DE Jr, Hieter P, Vogelstein B, Kinzler KW.
IN Program in Human Genetics and Molecular Biology, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21231, USA.
AB We have analyzed the set of genes expressed from the yeast genome, herein called the transcriptome, using serial analysis of gene expression. Analysis of 60,633 transcripts revealed 4,665 genes, with expression levels ranging from 0.3 to over 200 transcripts per cell. Of these genes, 1981 had known functions, while 2684 were previously uncharacterized. The integration of positional information with gene expression data allowed for the generation of chromosomal expression maps identifying physical regions of transcriptional activity and identified genes that had not been predicted by sequence information alone. These studies provide insight into global patterns of gene expression in yeast and demonstrate the feasibility of genome-wide expression studies in eukaryotes.


Bio::Blogs #2 last call

Last reminder for Bio::Blogs #2.

Send your submissions to bioblogs <at> gmail.com. Same address if you'd like to host a future edition. We have 7 submissions so far (all from non-Nodal regulars!) and a volunteer for October, I'm pleased to say. I've also been keeping an eye on the blogs and have a few posts to add. See previous post for guidelines.

update: edition 2 is now online - thanks to all contributors.

update #2: note that the link above changed, as I just moved my blog to its new home. The old site is no more.


ISMB'06: Return of the Robot Scientist

'Tis the season to be conferenced...

ISMB 2006 is almost upon us. Are there any nodalpointers going who fancy blogging (here or elsewhere) the conference for those of us who won't be sunning ourselves on Brazlian beaches? I'd love to know how the Robot Scientist and Ontology of Function presentations are received.


Readme for HexiRPA Document - my personal notes to reading papers

Hexi Reading Professional Articles (HexiRPA):

Readme for the docment:

for Each entry, there are 5 sections:Paper Tag (Line 1-2), Read Date (Line 3), PubMed Citation (Line 4-9), MyNotes (Line 10-12) and End Tag (Line 13)
Line 1 : Paper No. --(HI:HexiRRA Idendifier)
Line 2 : Document Name on myPC --(DN: Document Name)
Line 3 : Date read the paper --(DA:Date)
LIne 4 : Citation of PubMed Format (CP: Citation of PubMed)
Line 5 : Title (TI: Title)
LIne 6 : Authors (AU : Author)
Line 7 : Institutes [one or more lines] (IN : INstitutes)
Line 8 : Abstract (AB : ABstract)
Line 9 : PubMed ID (PM : PubMed ID)


A Sanger/pyrosequencing hybrid approach for the generation of high-quality draft assemblies of marine microbial genomes, from PN

Based on the comparison of different sequencing strategies in six small marine microbial genome, the paper evaluated the utility and cost-effectiveness of a hybrid sequencing approach using 3730xl Sanger sequecing and 454 run to generate higher-quality lower-quality lower-cost assemblies compared to current Sanger sequencing strategies alone. For the genome more than 3Mb with many sequencing gaps and hard stops, the sequence strategy of 5.3X Sanger sequencing plus two 454 runs is the best choice.

Proc Natl Acad Sci U S A. 2006 Jul 13; [Epub ahead of print] Books, LinkOut

A Sanger/pyrosequencing hybrid approach for the generation of high-quality draft assemblies of marine microbial genomes.


AAAI'06: Highlights and conclusions

The AAAI conference finished last Thursday, here are some highlights and papers that might be worth reading if you are interested in building and / or using a more “intelligent” (and possibly semantic) web in bioinformatics.


A sequence-oriented comparison of gene expression measurements across different hybridization-based technologies, Nat Biotech

The paper described a framework for comparisons across gene expression microarray platforms and laboratories, which including: 1) Affymetrix; 2) Agilent; 3) Applied Biosystems (ABI); 4) Amersham (now GE Healthcare); 5) cDNA arrays provided by the Cepko laboratory (academic cDNA); 6) Compugen (now Sigma-Genosys); 7) Mergen; 8) long oligonuceotide arrays from the Microarray Core facility at Massachusetts General Hospital (MGH long oligo); 9) MWG BioTech (now Ocimum Biosolutions); 10) Operon. As a result, the commercial platform ABI has the best performace, where the academic cDNA from Harvard poorest.


Test-drive the NAR web server issue

maximilianh and alf suggested that we should try out and rate the tools in the 2006 NAR web server issue.
I've trawled through the abstracts and created this wiki page. With that much copying and pasting there are sure to be errors - I counted 146 links on the page, but then I'm now almost blind.

Anyway, the idea is that you can go there, choose a link and try it out, then leave a comment as to how well it worked for you. If you haven't used the Nodalpoint wiki before, it's dead easy. Just login with your Nodal user/password and look at some pages to get an idea of wiki syntax. I'm fairly sure that all Nodal users should be able to edit this but if not, leave a comment and we'll sort it out.


AAAI: Dude, Where's My Service?

Goglo

As the number of bioinformatics services on the web increases, finding a tool or database that performs the task you require can be problematic. At the AAAI poster session on Wednesday, I presented our paper describing a novel solution to this problem. It uses a reasoner to “intelligently” search for web services, by semantically matching service requests with advertisements and has some advantages over comparable solutions...


Bio::Blogs #2 first call for submissions

Bio::Blogs edition 2 is scheduled for August 1st over at my place. This is the first reminder - 10 days to go - for your submissions. We have three already, I'm pleased to say.
You can submit a blog entry of your own, or of one that you've read and enjoyed. The only "rules" are: it must be from a blog, it should be recent and the topic should be in the broad area of bioinformatics or computational biology. As last time, we'll divide the submissions into conferences, primers/reviews and blog articles. I might throw "discussion of papers" in there too.

Send your submissions to bioblogs <at> gmail.com. Same address if you'd like to host a future edition. I'll be reminding you again next Friday, with 3 days to go. Meanwhile, spread the word through the blogosphere!