castanyes blaves

Random ramblings about some random stuff, and things; but more stuff than things -- all in a mesmerizing and kaleidoscopic soapbox-like flow of words.

3/31/2009

 

ape

dechronization: Hey R Users! Time to Update ape
The ape package written by Emmanuel Paradis is the foundation for phylogenetic analyses in R. Yesterday, Paradis and his coauthors posted a new version (3.2) on the CRAN archive yesterday. There don't seem to be too many new functions, but there are some important bug fixes. One these - preventing calculation of negative state probabilities when reconstructing discrete character states - solves one of the more vexing problems I've had with the ace function. You should definitely get the update if you're doing ancestral reconstruction of discretely coded traits! Now we just need to hope the April 17th upgrade to R 2.9 goes smoothly...


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3/27/2009

 

Hooray for those 6 brave souls! :-)

When every student has a laptop, why run computer labs? - Ars Technica
According to the school's Information Technology & Communication department, 3,117 freshmen enrolled in 2007, and 3,113 of them owned their own computer. Nearly all of the machines were laptops, with 72 percent running Windows and 26 percent running Mac OS X (six hardy souls ran Linux).


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3/26/2009

 

Jalview Google Summer of Code 2009

(Shameless plug of the day)

There is an opportunity for students to propose a Jalview
related software development project as part of the Google Summer of
Code this year, with an stipend of $4500. This project would be
supported by the NESCent mentor organisation, and ideally improve
Jalview's phylogenetic analysis capabilities, enhance the applet's use
as an AJAX web gui component, and/or extend its visualization and
editing capabilities for use as a curation tool.

The application period for student proposals is rapidly approaching, and
its important to discuss proposals with mentors before submission. If
you or anyone you know are interested, please read and/or forward the
message below, and look at the jalview project section on the following
(huge) URL:

http://www.nescent.org/wg/phyloinformatics/index.php?title=Phyloinformatics_Summer_of_Code_2009#Extend_Jalview_Alignment_visualization_tool


Regards.
Albert Vilella.
----

PHYLOINFORMATICS SUMMER OF CODE 2009

http://hackathon.nescent.org/Phyloinformatics_Summer_of_Code_2009

The Phyloinformatics Summer of Code program provides a unique
opportunity for undergraduate, masters, and PhD students to obtain
hands-on experience writing and extending open-source software for
evolutionary informatics under the mentorship of experienced
developers from around the world. The program is the participation of
the US National Evolutionary Synthesis Center (NESCent) as a
mentoring organization in the Google Summer of Code(tm) (http://
code.google.com/soc/).

Students in the program will receive a stipend from Google (and
possibly more importantly, a T-shirt solely available to successful
participants), and may work from their home, or home institution, for
the duration of the 3 month program. Each student will have at least
one dedicated mentor to show them the ropes and help them complete
their project.

NESCent is particularly targeting students interested in both
evolutionary biology and software development. Initial project ideas
are listed on the website. These range from hardware accerelation for
phylogenetic inference, to tree visualization within a wiki, to
alignment of next-gen sequencing data, to development of a reusable
ontology term markup module for biocuration. All project ideas are
flexible and many can be adjusted in scope to match the skills of the
student.  We also welcome novel project ideas that dovetail with
student interests.

TO APPLY: Apply online at the Google Summer of Code website (http://
socghop.appspot.com/), where you will also find GSoC  program
rules and eligibility requirements.  The 12-day application period
for students opens on Monday March 23rd and runs through Friday,
April 3rd, 2009.

INQUIRIES: phylosoc {at} nescent {dot} org. We strongly encourage all
interested students to get in touch with us with their ideas as early
on as possible.

2009 NESCent Phyloinformatics Summer of Code:
http://hackathon.nescent.net/Phyloinformatics_Summer_of_Code_2009

Google Summer of Code FAQ:
http://socghop.appspot.com/document/show/program/google/gsoc2009/faqs

Cyberinfrastructure Traineeships (managed separately from GSoC;
postdocs also eligible):
http://hackathon.nescent.org/
Cyberinfrastructure_Summer_Traineeships_2009

To sign up for quarterly NESCent newsletters: http://www.nescent.org/
about/contact.php

---------

Todd Vision and Hilmar Lapp
National Evolutionary Synthesis Center
http://nescent.org

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3/24/2009

 

Sugarcane sugar content

Sugarcane genes associated with sucrose content. [BMC Genomics. 2009] - PubMed Result
Sugarcane genes associated with sucrose content.

Papini-Terzi FS, Rocha FR, Vencio RZ, Felix JM, Branco DS, Waclawovsky AJ, Del Bem LE, Lembke CG, Costa MD, Nishiyama MY Jr, Vicentini R, Vincentz MG, Ulian EC, Menossi M, Souza GM.

ABSTRACT: BACKGROUND: Sucrose content is a highly desirable trait in sugarcane as the worldwide demand for cost-effective biofuels surges. Sugarcane cultivars differ in their capacity to accumulate sucrose and breeding programs routinely perform crosses to identify genotypes able to produce more sucrose. Sucrose content in the mature internodes reach around 20% of the culms dry weight. Genotypes in the populations reflect their genetic program and may display contrasting growth, development, and physiology, all of which affect carbohydrate metabolism. Few studies have profiled gene expression related to sugarcanes sugar content. The identification of signal transduction components and transcription factors that might regulate sugar accumulation is highly desirable if we are to improve this characteristic of sugarcane plants. RESULTS: We have evaluated thirty genotypes that have different Brix (sugar) levels and identified genes differentially expressed in internodes using cDNA microarrays. These genes were compared to existing gene expression data for sugarcane plants subjected to diverse stress and hormone treatments. The comparisons revealed a strong overlap between the drought and sucrose-content datasets and a limited overlap with ABA signaling. Genes associated with sucrose content were extensively validated by qRT-PCR, which highlighted several protein kinases and transcription factors that are likely to be regulators of sucrose accumulation. The data also indicate that aquaporins, as well as lignin biosynthesis and cell wall metabolism genes, are strongly related to sucrose accumulation. Moreover, sucrose-associated genes were shown to be directly responsive to short term sucrose stimuli, confirming their role in sugar-related pathways. CONCLUSION: Gene expression analysis of sugarcane populations contrasting for sucrose content indicated a possible overlap with drought and cell wall metabolism processes and suggested signaling and transcriptional regulators to be used as molecular markers in breeding programs. Transgenic research is necessary to further clarify the role of the genes and define targets useful for sugarcane improvement programs based on transgenic plants.


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3/23/2009

 

Laura Clarke - 1000 Genomes project

Depositing every week same amount of data as all was in public dbs before (past ~20-30 years).

Data coordination (EBI Paul Flicek, Laura+Zam). Keep submissions, run QCs and recalibration, present in mini Ensembl browser. Working on the Resembl (Solexa) public release, need to implement as MySQL 5.1 partitioning instead of commercial db.

Pipeline -- first align to the genome; will move to new assembly soon. 454 with ssaha, Solexa here with MAQ.

Trios data now being churned at dbSNP -- causing dbSNP more churning than usual releases, they are catching up. Low coverage also submitted, but will probably be in dbSNP 131.

Data formats: Fastq / BAM (binary SAM alignment map format) / GLF (genotype likelihood format). BAMs/GLFs will be updated as more data gets in and old ones will disappear.

Hope all the sequencing will be done by the end of 2009. Paper about pilot projects soon. Targetted sequencing (pilot 3) took more time, pull-down methods a bit longer to nail down, now working.

DCC more automated data delivery systems. Standard QC/Recalibration pipeline. Other high throughput analyses. New staff. May take over the alignment process once the alignment algorithm is consensuated.

Jim Stalker and Thomas Keane doing a lot of work at the Sanger. Eugene Kulesha and Stephen Keenan on the website work. Fiona and Yuan on calling/storing/presenting SNPs in Ensembl.

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3/21/2009

 

Browse the NCBI Short Read Archive by taxonomy

Here is the link.

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3/20/2009

 

Next Generation community resources for Next Generation Sequencing

I've been looking at SEQanswers lately to try and discern where is people drawing the "Here be dragons" of their research. A lot of it is about wet lab protocols, which is great news, because it means the discoveries in different labs are shortcutting publication delays and being adopted as soon as possible. But there is also a lot of data analysis discussions which is great to identify the needs for specific bioinformatics tools in the outside world. It is becoming increasingly important in new emerging IT fields to know what *not* to work on other than what to work on, and forums like SEQanswers are great for this.

Great seeing people using this forum and not being afraid of showing results --- which is also showing muscle sometimes, but all good and fair. I wonder how much of this is known by lab bosses and how much of potentially old generation bosses understand of these Internet open community practices...

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Use copy+paste

My surname is Vilella which is kind of the diminutive of Vila, or Ville, or littletown. This last 7 days I've had a badge and stickers given with the spellings:
  • Viella
  • Villela
Given the late confusion, I recommend everyone that has to deal with my surname to copy+paste it from somewhere else. Here a few you can use:

Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella Vilella.


3/18/2009

 

The blurring line between protein alignments and genomic alignments

As more and more data is being poured into the public sequence databases, an increasingly detailed map is being drawn that relates sequences from different individuals or different species, mainly into what has been known in the field as protein or genomic (DNA) alignments. This is what one can call twenty-first century molecular cartography.


All references to molecular evolution this year should be accompanied with an analogy to Darwin's work, so here is how it works in this case: Darwin's next generation machine, the Beagle, went on a journey to accumulate an enormous variety of specimens that, when compared all together, allowed Darwin to draw the first phylogenetic tree.


Contrary to what one would think, alignments with more sequences are easier to resolve than ones with less sequences, at least when the phylogenetic tree relating the sequences increases in detail, which is almost always. And this is allowing researchers to generate genomic alignments for phylogenetically dense groups of genomes while, in parallel, the protein alignments for the corresponding protein coding genes in these genomes are combined together with more distantly related species. This dense taxon sampling is making the distinction between protein alignments and genomic alignments less and less obvious.


As an example, one can use the highly conserved protein coding exons to anchor the points in the different chromosomes that define stretches of conserved synteny among the genomes, and then align these DNA stretches all together with a genomic aligner. At the same time, one can use the exon boundaries defined in the DNA sequences of the coding genes to help infer the right protein alignment at the aminoacidic level.


A new opportunity is now arising in exploiting the information that is contained separately in the genomic and protein alignments to combine them into a single object representing both. New methods are being developed that will exploit the landmarks that both genomic and protein alignments have correctly place to converge into a single intertwined alignment object. This new type of alignment has in a way already been represented in closely related prokaryotic genomes. But prokaryotic genomes are less interesting for some topics, like alternative splicing, repetitive elements or recombination hotspots. Combined genomic and protein alignments will bring new elements of detail together that have been scattered so far for researchers to study and hopefully some new and brilliant mechanistic explanations of the innards of molecular evolution will arise from them, in the same way that Darwin did two centuries ago.


So a deluge of sequencing data is not really a problem but an opportunity.



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3/16/2009

 

How much should you stretch HMM classification?

There are ongoing discussions in our Campus regarding the use of de novo clustering or HMM classification to update the family models in an Orthology database from one release to the other.

One trend that I don't favour is to use the HMM models from the previous build and classify the current protein sets to it. Then re-run the alignment and tree-building steps after that.

The other trend that I favour is to re-run the new blasts/phmmers for the new proteins, re-cluster with the other hits in the updated graph, and then re-run the alignment and tree-building steps in the new set of family models.

People who argue in favour of the HMM classification procedure and want to convince me of their feasibility show give convincing answers to these questions:

Let's say you only have a few complete genomes sequences with provisional gene predictions from your clade but expect to have 20% more extra finished genomes with better gene predictions every two months. Over the course of a year your will have more than doubled the number of genomes. Do you trust the HMMs you are doing today to represent the family models in two month, four-month, six-month, eight-month, ten-month, twelve-month time?

Let's say that you have answered the previous question with a 'yes' then, where do you draw the line to update your HMM by rebuilding them from updated genome sets? Why don't you take Human, S.cerevisiae, A.thaliana, E.coli and P.furiosus and call that the ultimate representation of all family models on Earth? Do you think those families would be as good as than the ones obtained using 80 genomes instead?

If so, then it's very easy for you, just use those 5 genomes as your family model set. But I don't think that is the way to go.

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3/15/2009

 

Fish Genomes to come

We hosted the International Fish Genomes meeting once more this weekend,
bringing researchers from Europe, America and Asia to give talks about their
current scientific progresses and also to discuss possible collaborations.

The amount of work reported by the zebrafish people at the Sange, leaded by
Dr. Derek Stemple, was a surprise to me, only because I wasn't closely
following their efforts before (a quick summary at the bottom). They are in
some ways ahead of the human genetics people in developing methods and
protocols to take full advantage of the NextGen sequencing technologies. The
ZFIN consortium has recently released Zv8, the latest version of the Danio
rerio assembly, which will be present, with brand new gene prediction build,
in the upcoming Ensembl v54 in April.

One recurring theme in most talks was how to deal with heterozigosity and
polyploidization issues when trying to assemble fish genomes. Different
techniques to create artificial individuals with double haplotype genome sets
have been developed that make this task easier. Another recurring theme was
that the NextGen sequencing was focused on assembly, but there are a lot of
hanging fruits to be picked up for SNP and cDNA analyses that will squeeze
more biological results out of the same data. Squeezing data doesn't seem
very trendy nowadays with the second deluge we are facing, but I don't think
it's something we should feel to personal about, because in essence is only a
change in the scale of data set size, but with the same imagination and
ingenuity at hand as before.

One of the most interesting talks to me was Dr. Hugues Roest Crollius demo of
their Dyogen Synteny Browser, which complements a lot what we have in the
EnsemblCompara GeneTrees in terms of visualization and predictions errors
discovery. This browser is specially relevant for the fish clade, by bringing
out very clear patterns of gene conservation and loss after the whole genome
duplication in the Teleosts.

The extraterrestrial talk about skate cell biology and development brought
pictures of baby skates resembling very much the alien stuck onto the face of
the guy on Alien, the film. Cool and disturbing in equal amounts.


Another conclusion from the meeting is that we probably need to gather
efforts in writing a strong proposal to NHGRI for a 2x-mammalian-like sequencing
spree in the fish clade. As the mammalian genomics study is now showing, you
get a more complete picture by sequencing lots of ``millions of years'' than
getting stuck in repetitive and haplotypic knots in one single genome. Still,
no one stepped forward on Saturday to coordinate the proposal, and a bit more
haggling and ambushing may be needed :-).

----
Derek Stemple -- Zebrafish Genome Project

Heterozigosity and haplotype issues in the six related individuals
used first

Better DNA to make libraries --> Fertilized eggs with UV-inactivated
sperm -- melt the spindle in the first division -- doubled haploid
fish (DH)

Better genetic maps -- radiation hybrid, heat shock, meotic map

Gene Annotation using Solexa Sequencing -- how to do it

Q: SNPs from the Solexa data?

A: Not focusing on that now, reference already has 0.6M, 6M with other
line

Q: 3UTR repetitive element problems in Solexa?

A: Use read pairs, filter out in the alignment, it's difficult. Will
probably do bigger library inserts soon.

Q: Depth and false 5prime ends?

A: A third of reads cross a boundary, 5prime ends there is a bias
towards one strand in the sequencing

Matthew Clark

SJD is homozigous but nobody uses it because of reproduction issues in
the lab

Doing CNV analyses, comparing with repeats using a HMM (Jared Simpson)

Read pair abberrations -- lots of deletions found -- badly assembled
bits of the genome? (Klaudia Walter)

Doing a WGSA Affy for SNP chip -- will help BAC mapping

De novo map -- mapmaker, joinmap, RECORD, SMOOTH, Combin, MSTmap

MSTmap works on Turing -- combine genetic map with sequencing

Zebrafish and Danio genus polymorphism rates -- conserved elements



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3/13/2009

 

The crisis of credit animated


3/12/2009

 

The wonders of www.gopubmed.com

I stumbled upon gopubmed a while ago and found very useful the idea of providing some more meta-information about the searches, like author's affiliation, but mainly statistics about the search.

Since then they have now improved the statistics and added what they call "Author collaboration network" which is really cool. I was amazed to see that it also works for combinations of authors, like: "smith j [au] AND jane j [au]".

Really cool stuff that I highly recommend!

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3/11/2009

 

G1s sellint at 70-80% the rate of iPhones according to T-Mobile UK

Assessing Android - Blogs – ComputerworldUK blogs - The latest technology news & analysis on Outsourcing, HMRC data, Apple iPhone, Global warming, MySQL, Open Enterprise
Not surprisingly, given the nature of this blog, I'm pretty favourably disposed towards Google's Linux-based Android platform, even though I don't possess the only phone currently using it, T-Mobile's G1.

But it's hard to tell just how well it's doing against the iPhone, say. If any one knows, it's T-Mobile, so I was interested to receive this morning some tantalising tidbits from Richard Warmsley, head of Internet and Entertainment at T-Mobile UK.

Despite being pressed by me, he wouldn't get into specifics (now, there's a surprise) about sales, saying only that they had exceeded expectations. But he did reveal that according to their market research, G1s were selling at 70-80% the rate of iPhones. Even allowing for margins of error and any tendency to talk up such numbers, this suggests a healthy uptake.


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3/10/2009

 

What does this look like?


It's a protein multiple alignment of 871 G-protein coupled receptors visualized using Jalview Overview window. Notice the red rectangle that correspond to the bit you can actually see in detail on a 2000x1200 TFT screen, and the mouse pointer on the bottom right corner as a reference of the size of the thing.

This is one of the biggest GeneTrees in Ensembl v53, and also one of the interesting ones to navigate around.

http://www.ensembl.org/Homo_sapiens/Gene/Compara_Tree?db=core;g=ENSG00000112414

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3/09/2009

 

Stroke regeneration research

BBC NEWS | Health | Stem cell 'scaffold' for stroke
Study leader Dr Mike Modo, from the Institute of Psychiatry at King's College London, said: "This works really well because the stem cell-loaded particles can be injected through a very fine needle and then adopt the precise shape of the cavity.

"In this process the cells fill the cavity and can make connections with other cells, which helps to establish the tissue."

He said over a few days they were able to see cells migrating along the scaffold particles and forming a primitive brain tissue that interacts with the host brain.


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BioMart Slow Query Analysis -- Rhoda Kinsella -- European Bioinformatics Institute - EMBL

BioMart is a query-oriented data management system developed jointly by the Ontario Institute for Cancer Research (OICR) and the European Bioinformatics Institute (EBI).

Queries were crashing the mart servers or taking a long time. Log any queries longer than 60 seconds.

New hardware on v51 dropped the no. slow queries from 95000 to 3300. Picked up probably more userbase in v52 to 12000.

Something got wrong on Oct 13th as a lot of slow queries happened that day. Another 2000 on Oct 19th.

One go pull downs of EMBL, MGI, UniprotSWISSPROT. Pull down all GO. Pull down all est and gnf data. Pull all protein_feature PFAM, tfhmm data. A bit of HGNC filtering, but most of the time people want all in one query with no filtering.

Conclusion: there is a fine line between using BioMart and fetching zipped files in an FTP server. Some users seem to prefer BioMart even though it will be much slower than going to the FTP site.

For v52, lots of snp_marts. People sending queries filtering for lots of stuff.

All Xref EMBL, EntrezGene and protein_id: some genes have thousands of EMBL links, multiplied by thousands of protein_ids, makes queries slow.

SNP52: strain polymorphism table with a lot of strain filters.

SNP52: transcript_variation (variation_feature_ids)

E!52: exon_transcript table + transcript_variation table + filterings.

Solutions:
  • remove duplication and solve all NULL values on row issues (e.g. gnf)
  • limits on external attributes
  • limits on est and gnf attributes
  • indexed expression tables
  • new hardware
Upcoming solutions:
  • increase result batch size?
  • merge 3 GO categories?
  • Remove unused tables?
  • Canned queries?
  • Stop user ability to re-send a query?
  • Keep analysing the logs and make it more automated and informative -- keep an eye on what is happening
  • Maybe limits on formats for "gimme all for X" --> goes to the FTP link
  • Maybe new FTP dumps for "gimme all attributes for Y+Z" --> goes to the FTP link
  • More complicated combinations --> cached them on a "dynamic FTP"
Lots of little things that together improve things a lot.

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3/06/2009

 

University of Cambridge and Roche 454 analysis of type-1 diabetes protective alleles

Type 1 Diabetes Resequencing Study Finds Protective Variants | GenomeWeb Daily News | Sequencing | GenomeWeb
By re-sequencing a handful of candidate genes from previous genome-wide association studies, University of Cambridge and Roche 454 researchers have identified four rare variants and one common variant in an antiviral gene called IFIH1 that protect against type 1 diabetes or T1D. Since the variants appear to curb the gene's activity, the team proposes that functional IFIH1 may contribute to T1D.


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I saw the movie and it didn't end well...

Chilean extremophile bacteria thrive in Mars-like conditions - Ars Technica
The Atacama desert lies on the western edge of South America, covering much of northern Chile and parts of Argentina. It is the closest one can get to Mars while remaining grounded on Earth. High atop the Socompa volcano on the Eastern edge of the Atacama desert, the atmosphere is thin, the ultraviolet radiation is intense, and the climate is dry. Nevertheless, the improbable has been found: life. Near the rim of the 19,850-foot-high Socompa volcano, researchers from the University of Colorado at Boulder's Alpine Microbial Observatory found a thriving, complex microbial community that appears to be supported by gases emanating from volcanic vents around the rim.

The Atacama desert is the driest place on Earth. Weather stations in the Antofagasta region of Chile average one millimeter of precipitation per year, and a number of weather stations in the Atacama have never recorded rainfall throughout their entire operational life. The extreme climate there is often compared to the surface of Mars. It is believed to be so similar that a Science article, published in 2003, used it in an attempt to re-create the experiments that Viking One and Two performed on the Martian surface. It is also a proving ground for equipment that NASA plans to send to Mars one day. Given the geologic similarities, the discovery of life in such a hostile place suggests that life could exist elsewhere as well.


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3/04/2009

 

Cambridge UK immune to the economic downturn

Been to the public hearing for the transport commission at the Guidhall in Cambridge and got the impression that everybody was very prudent in saying that transport increases will be at all affected by the economic downturn.

Some interesting numbers were given:
  • The Silicon Fen area of influence generates £100bn per annum. In contrast to that, the national transport inversion in the area is disproportionately small.
  • Measures taken in restricting car access to the City centre have stopped and even decreased the volume of private car traffic in the last 10 years. In contrast, the access to the centre has increased steadily, and the Park and Rides are now at 2.2-2.5M per year.
  • The property bust in the economic downturn will probably last for 2009 and 2010, and number of dwellings and transport needs will spike back after 2010. The property market is already thawing from the late 2008 or early 2009 freeze. Projections of 75000 new homes by 2021 will only need to be shifted by two years, to 2023.
Cambridgeshire knowledgebased economy is and will be among the least affected by the downturn, and it will even be able to atract ex-City workers now shifting into research and development. The transport estimates for the Cambridgeshire County will only need to be shifted by two years with respect to pre-credit crunch estimates.

All very interesting and looking forward to see what comes out of this comission in the near future...


 

Myco-diesel from the fungalgenomes

Fill-er-up with Myco-diesel?
So this is actually old-ish news, but I saw this press release about paper published last year describing the ability of the fungus Gliocladium roseum to naturally synthesizes diesel compounds. The paper from Gary Strobel @Montana State and collaborators describes that G. roseum produces volatile hydrocarbon on cellulose media. Extracts from the host plant (Eucryphia cordifolia) were also able to support growth of the fungus alone. This production of products have been dubbed “myco-diesel”. G. roseum is an endophyte of E. cordifolia I wonder what kinds of advantages it might provide for the fungus or the plant to produce these hydrocarbons.

I wonder if it is better to focus on these organisms that have already evolved a way to make these hydrocarbons directly from cellulose rather than the multistep process of making easy to process sugars from different starting plant materials and then ethanol or other hydrocarbons from yeast or bacteria growing on that sugar. Growth rates, amenability to grow in bioreactors, etc certainly are considerations in building production systems, but I wonder whether these kind of finding represent inroads to solving our problems or if they are peripheral to the current bioengineering approaches that are underway.

Some of the earlier press releases I had missed it seems:

* Rainforest fungus makes diesel
* Diesel Fuel From a Tree Fungus?
* NPR
* Google news

G. A. Strobel, B. Knighton, K. Kluck, Y. Ren, T. Livinghouse, M. Griffin, D. Spakowicz, J. Sears (2008). The production of myco-diesel hydrocarbons and their derivatives by the endophytic fungus Gliocladium roseum (NRRL 50072) Microbiology, 154 (11), 3319-3328 DOI: 10.1099/mic.0.2008/022186-0

My microbiology teacher used to be very pessimistic about this ten years ago. He would say: "It's all a matter of not being able to concentrate the product at the end!". I wasn't so pessimistic back then and I am even more optimistic nowadays, but I still think there is a lot of basic engineering to be done after the biological candidates have been proven useful. Where are the good engineers when one needs them?

Maybe we will need an engineered organism that produces controlled "blooms" that are easy to separate... Who knows...

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Martin Taylor - EBI

chimp-human different promoter subst rates than human-mouse - CAGE next gen sequencing in Japan for TSSs

drosophila subgroup - E. Sevin - lots of TSS data there as well

indels are a problem in consistently calculating neutral subst rates

relaxation of constraint combined with pos sel?

neutral (mutation) rate higher in promoters than other genomic regions?

is this distinct chromatin environment? transcriptional status?

using transcription coupled repair bias identifies bidirectional
promoters and germline expression promoters

Q - should we be doing primates, should we be doing human populations, or both? Both.


 

Caring for the gene names

Mistaken Identifiers: Gene name errors can be introduced inadvertently when using Excel in bioinformatics
A little detective work traced the problem to default date format conversions and floating-point format conversions in the very useful Excel program package. The date conversions affect at least 30 gene names; the floating-point conversions affect at least 2,000 if Riken identifiers are included. These conversions are irreversible; the original gene names cannot be recovered.

Thanks to JM Duran for pointing me to this paper.

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3/03/2009

 

Leo Goodstadt MRC Oxford -- Treasures in the trees

the last 5% in finishing genomes is very important

positive selection on defined main categories -- reproduction, olfaction, immunity, transcription factors

lots of examples for gene expansions in rodents

KAL1 as an example of a gene loss

RP25 retinitis pigmentosa is an interesting case -- how come this can be traced back to drosophila? wasn't this supposed to be converging evolution? is it a real ortholog? how come so many gene losses in several groups?

MD: don't you think duplication is really gene expression and it's regulation?

What should we do now? KRAB Zn-Fingers and other transcription factor families. Primates will give us lots of info that human popgen won't. RD doesn't seem to disagree...





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3/02/2009

 

Some people only complain when it's too late

A famous actor and comedian died this weekend from a long and suffering lung cancer. Media has covered this extensively and linked it to certain comments asking the Health Minister to toughen up on tobacco legislation.

One side of the media is to report and reflect on what is the buzz on the street and the other is to write knees-deep editorials on a given subject. But are you telling me no-one deserved media attention on stricter tobacco regulations when these were being voted last year? Why was all about interviews to pub owners complaining that their business was going to be hugely affected by the new regulations? What was the right proportion of pro/against opinion of media coverage then? 1/10? 1/1000?

I dare anyone to predict that laws will be a lot more permissive in 10 or 50 years time than they are today...


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