Jonathan Eisen

Tree of Life hitting the big screen …

The “Tree of Life” is really hitting the big time. I just found, in a google search, that there is a movie coming out in 2009 called, “Tree of Life (2009).” The plot summary is as follows:

In a mystical world of folklore, several individuals embrace in a race to find the Tree of Life, said to give immortality, fertility, and other supernatural powers

And if that does not excite you, well, maybe this will. The cast includes Brad Pitt, Sean Penn and a few other big shots. Stay tuned here for more updates, or check out the wikipedia page for the movie here. Also see: Brad Pitt and The Tree of Life, Brad Pitt Scales Tree of Life, Malick’s Tree of Life caught on camera , Brad Pitt looks young in Tree of Life movie

Obama on Teaching Evolution

I finally found what appears to be a credible reference to Obama’s views on teaching evolution. In an April Blog from the Dallas Morning News they quote the York Daily Record:

He was asked about the teaching of intelligent design and evolution in public schools. His response:

I’m a Christian, and I believe in parents being able to provide children with religious instruction without interference from the state. But I also believe our schools are there to teach worldly knowledge and science. I believe in evolution, and I believe there’s a difference between science and faith. That doesn’t make faith any less important than science. It just means they’re two different things. And I think it’s a mistake to try to cloud the teaching of science with theories that frankly don’t hold up to scientific inquiry.

McCain seems to have gone silent on this issue although I have pointed out that in the past that he was clear about science being taught in science classes. Seems like he is trying to steer clear of this issue. What ever happened to the straight talking McCain?

Freeing My Father’s Scientific Publications

Today is Father’s Day. It was a great day for me, hanging out with my kids and wife and doing things around town here in Davis (we kind of made it Father’s Weekend and did some activities on Saturday too). Despite the wonderful weekend, this day is also filled with melancholy for me when I think about my father, Howard Eisen, who died when I was a freshman in college. I miss him greatly. But whenever I think about him I think about how he almost certainly would be really proud that his two sons (me and my brother Michael at Berkeley) are now scientists.

You see, my father was a scientist too — an MD who did research at the NIH, focusing mostly on hormone receptors. Given my propensities for putting things on the web and trying to disseminate scientific information, I cam up with a plan last night to create some sort of web page in his honor with some information about his work and his life.

The thing is, I actually know little about his work, because while I was growing up, my parents never really talked about the details of their work (my mom is a scientist too). Sure, we went to the NIH occasionally and most of my parents friends were scientists. And they talked sciency talk. But they did not really discuss details of their work. I think in the end, this is partly why my brother and I did not shun the family business and went into science.

So, of course, being the obsessed Open Access advocate, the first thing I decided to look at was what publications of my fathers I could get my hands on. This was both to read them and to make them available on this tribute page.

So – my first step in this journey was to search Pubmed for Eisen HJ. And then I had to remove the publications by another Eisen HJ. And so I was left with 35 publications in PubMed (I know he had some other articles as well as chapters in books and such but this is a good start). So then I asked – which of these were available online in one way or another. According to Pubmed 24/35 were available online. Of those available online:

Pubmed Central: 3
Free access: 13
Fee access: 8
Unavailable: 11.

This made me both happy and sad. I was glad to see some of his publications in Pubmed Central (thanks to PNAS and the Biochemistry Journal for putting them there). It was also good to see many available for free, even if this was only at some journals site. So – thanks to journals like J. Biol. Chem. for making the material available online for free. But I was a bit saddened to see how many of his papers, which are now all over 20 years old, being available only for a fee. And I was also a bit saddened to see how many had not yet made it into the digital world.

So – what to do next? Well, my goal is to get access to all his papers and then to free them up to the world. So my first step was to see if any of the ones that Pubmed did not have links for might be available online anyway. And indeed a few were. For example, Pediatric Research back issues are available online. And these are free. In addition, his papers in Biochemistry, J. Steroid Biochemistry and Advances in Genetics is available for a fee but it is not linked from Pubmed. So with this information the new tally was

Pubmed Central: 3
Free access: 14
Fee access: 11
Unavailable: 7

Getting digitized.
So for those 7 that are currently unavailable (at least anywhere I could find) digitally, my next step is to try and lobby the journals to make them available. For some journals, this has some hope (well, not per se my lobbying, but they may make them available). For example, Endocrinology has some back issues available but just not all the way back to some of my father’s publications in that journal. So, I wrote to the journal Endocrinology using the link from the journal site and asked what their plans were for older issues. And I will post here if I get a response. (( UPDATE – THESE ARE TO BE MADE AVAILABLE SOON ACCORDING TO HIGHWIRE PRESS.)) I am doing the same for all the other unavailable publications, although some of the journals seem to not exist anymore.

Convincing “free” access journals to deposit old papers in PMC.
My next goal is to see if the “free” access journals have any plans to submit stuff to Pubmed Central. Yes, I know PMC is not perfect, but I believe it is better to have things in PMC than just on a journals website. So I am writing to all these journals to find out if they have any plans to deposit this material.

Freeing up the “fee for access” papers.
My final initial goal, and probably the most challenging, is to figure out ways to make the papers that are current “fee for access” available for free. If these were my papers, I suppose I could put many of the PDFs on my own web site. Perhaps I can do this for my father’s publications (does the right to do this get passed down?). Of course, first I have to get the PDFs and it just seems weird to me to have to pay to get access to papers my father wrote. Another possibility is that the journals would let me pay an OA fee to free up these old papers. I am going to look into that although I cannot really afford it. A final possibility would be to get the papers into PMC without the journals explicit agreement. Perhaps because my father was a government employee, the copyright would allow depositing in PMC? I do not know.

So right now, the process is incomplete. I am actually learning a good deal about OA from looking into older papers rather than just all the new papers I tend to focus on. And hopefully in the process I can free up all of my father’s papers so that his scientific legacy does not fade away as rapidly due to lack of access. And then next maybe I can focus on my grandfather’s publications.

Anyway — here is a list of my father’s publications with links and/or comments on their availability.

Simons SS Jr, Pumphrey JG, Rudikoff S, Eisen HJ. Identification of cysteine 656 as the amino acid of hepatoma tissue culture cell glucocorticoid receptors that is covalently labeled by dexamethasone 21-mesylate. J Biol Chem. 1987 Jul 15;262(20):9676-80. PMID: 3597435.

Cresteil T, Jaiswal AK, Eisen HJ. Transcriptional control of human cytochrome P1-450 gene expression by 2,3,7,8-tetrachlorodibenzo-p-dioxin in human tissue culture cell lines. Arch Biochem Biophys. 1987 Feb 15;253(1):233-40. PMID: 3813564.

Eisen LP, Reichman ME, Thompson EB, Gametchu B, Harrison RW, Eisen HJ. Monoclonal antibody to the rat glucocorticoid receptor. Relationship between the immunoreactive and DNA-binding domain. J Biol Chem. 1985 Sep 25;260(21):11805-10. PMID: 3840164

Antakly T, Eisen HJ. Immunocytochemical localization of glucocorticoid receptor in target cells. Endocrinology. 1984 Nov;115(5):1984-9. PMID: 6208016. UPDATE – TO BE MADE AVAILABLE SOON ACCORDING TO HIGHWIRE PRESS.

Harmon JM, Eisen HJ, Brower ST, Simons SS Jr, Langley CL, Thompson EB. Identification of human leukemic glucocorticoid receptors using affinity labeling and anti-human glucocorticoid receptor antibodies. Cancer Res. 1984 Oct;44(10):4540-7. PMID: 6331880

Reichman ME, Foster CM, Eisen LP, Eisen HJ, Torain BF, Simons SS Jr. Limited proteolysis of covalently labeled glucocorticoid receptors as a probe of receptor structure. Biochemistry. 1984 Oct 23;23(22):5376-84. PMID: 6391542

Nebert DW, Eisen HJ, Hankinson O. The Ah receptor: binding specificity only for foreign chemicals? Biochem Pharmacol. 1984 Mar 15;33(6):917-24. Review. PMID: 6324804

Nebert DW, Brown DD, Towne DW, Eisen HJ. Association of fertility, fitness and longevity with the murine Ah locus among (C57BL/6N) (C3H/HeN) recombinant inbred lines. Biol Reprod. 1984 Mar;30(2):363-73. PMID: 6704471

Foster CM, Eisen HJ, Bloomfield CD. Covalent labeling of rat thymocyte and human lymphoid glucocorticoid receptor. Cancer Res. 1983 Nov;43(11):5273-7. PMID: 6577947

Karenlampi SO, Eisen HJ, Hankinson O, Nebert DW. Effects of cytochrome P1-450 inducers on the cell-surface receptors for epidermal growth factor, phorbol 12,13-dibutyrate, or insulin of cultured mouse hepatoma cells. J Biol Chem. 1983 Sep 10;258(17):10378-83. PMID: 6309801

Mariani G, Kortright KH, Eisen HJ, Adamson RH, Waldmann TA. A methodological approach for the study of protein synthesis by cell cultures in vitro. J Nucl Med Allied Sci. 1983 Jul-Sep;27(3):237-47. PMID: 6198498

Simons SS Jr, Schleenbaker RE, Eisen HJ. Activation of covalent affinity labeled glucocorticoid receptor-steroid complexes. J Biol Chem. 1983 Feb 25;258(4):2229-38. PMID: 6687388.

Tukey RH, Hannah RR, Negishi M, Nebert DW, Eisen HJ. The Ah locus: correlation of intranuclear appearance of inducer-receptor complex with induction of cytochrome P1-450 mRNA. Cell. 1982 Nov;31(1):275-84. PMID: 6186383

Legraverend C, Hannah RR, Eisen HJ, Owens IS, Nebert DW, Hankinson O. Regulatory gene product of the Ah locus. Characterization of receptor mutants among mouse hepatoma clones. J Biol Chem. 1982 Jun 10;257(11):6402-7. PMID: 6896205

Nebert DW, Negishi M, Lang MA, Hjelmeland LM, Eisen HJ. The Ah locus, a multigene family necessary for survival in a chemically adverse environment: comparison with the immune system. Adv Genet. 1982;21:1-52. Review. PMID: 7036691. Available online for fee but not linked from Pubmed.

Eisen HJ, Schleenbaker RE, Simons SS Jr. Affinity labeling of the rat liver glucocorticoid receptor with dexamethasone 21-mesylate. Identification of covalently labeled receptor by immunochemical methods. J Biol Chem. 1981 Dec 25;256(24):12920-5. PMID: 6895516

Hannah RR, Nebert DW, Eisen HJ. Regulatory gene product of the Ah complex. Comparison of 2,3,7,8-tetrachlorodibenzo-p-dioxin and 3-methylcholanthrene binding to several moieties in mouse liver cytosol. J Biol Chem. 1981 May 10;256(9):4584-90. PMID: 7217100

Stevens J, Eisen HJ, Stevens YW, Haubenstock H, Rosenthal RL, Artishevsky A. Immunochemical differences between glucocorticoid receptors from corticoid-sensitive and -resistant malignant lymphocytes. Cancer Res. 1981 Jan;41(1):134-7. PMID: 7448753

Nebert DW, Eisen HJ, Negishi M, Lang MA, Hjelmeland LM, Okey AB. Genetic mechanisms controlling the induction of polysubstrate monooxygenase (P-450) activities. Annu Rev Pharmacol Toxicol. 1981;21:431-62. Review. PMID: 7016012

Markoviƒá RD, Eisen HJ, Parchman LG, Barnett CA, Litwack G. Evidence for a physiological role of corticosteroid binder IB. Biochemistry. 1980 Sep 30;19(20):4556-64. PMID: 7426614. Available online to purchase though no listed in Pubmed.

Eisen HJ. An antiserum to the rat liver glucocorticoid receptor. Proc Natl Acad Sci U S A. 1980 Jul;77(7):3893-7. PMID: 7001446

Hannah R, Simkins R, Eisen HJ. Synthesis of alpha-fetoprotein and albumin by fetal mouse liver cultured in chemically defined medium. Dev Biol. 1980 Jun 15;77(2):244-52. PMID: 6156873

Okey AB, Bondy GP, Mason ME, Kahl GF, Eisen HJ, Guenthner TM, Nebert DW. Regulatory gene product of the Ah locus. Characterization of the cytosolic inducer-receptor complex and evidence for its nuclear translocation. J Biol Chem. 1979 Nov 25;254(22):11636-48. PMID: 500663

Rechler MM, Eisen HJ, Higa OZ, Nissley P, Moses AC, Schilling EE, Fennoy I, Bruni CB, Phillips LS, Baird KL. Characterization of a somatomedin (insulin-like growth factor) synthesized by fetal rat liver organ cultures. J Biol Chem. 1979 Aug 25;254(16):7942-50. PMID: 468799

Simkins RA, Eisen HJ, Sparks JW, Glinsmann WH. Development of glucogenesis from galactose by fetal rat liver explants in organ culture. Dev Biol. 1978 Oct;66(2):353-60. PMID: 700252

Simkins RA, Eisen HJ, Glinsmann WH. Functional integrity of fetal rat liver explants cultured in a chemically defined medium. Dev Biol. 1978 Oct;66(2):344-52. PMID: 81156

Eisen HJ, Glinsmann WH. Maximizing the purification of the activated glucocorticoid receptor by DNA-cellulose chromatography. Biochem J. 1978 Apr 1;171(1):177-83. PMID: 646815

Eisen HJ, Glinsmann W. Partial purification of the glucocorticoid receptor from rat liver: a rapid, two-step procedure using DNA-cellulose. Biochem Biophys Res Commun. 1976 May 17;70(2):367-72. PMID: 180989

Eisen HJ, Ginsberg AL. Letter: Disulfiram hepatotoxicity. Ann Intern Med. 1975 Nov;83(5):673-5. PMID: 1200504. Back issues not currently available.

Eisen HJ, Glinsmann W. Partial purification of glucocorticoid receptor from rat liver using DNA-cellulose. J Steroid Biochem. 1975 Jul;6(7):1171-3. PMID: 170470. AVAILABLE FOR FEE BUT NOT LINKED FROM PUBMED.

Glinsmann WH, Eisen HJ, Lynch A, Chez RA. Glucose regulation by isolated near term fetal monkey liver. Pediatr Res. 1975 Jul;9(7):600-4. PMID: 125868. AVAILABLE FREE EVEN THOUGH MEDLINE DOES NOT HAVE LINK.

Eisen HJ, Goldfine ID, Glinsmann WH. Regulation of hepatic glycogen synthesis during fetal development: roles of hydrocortisone, insulin, and insulin receptors. Proc Natl Acad Sci U S A. 1973 Dec;70(12):3454-7. PMID: 4357871

Eisen HJ, Glinsmann WH, Sherline P. Effect of insulin on glycogen synthesis in fetal rat liver in organ culture. Endocrinology. 1973 Feb;92(2):584-8. PMID: 4682869. Wrote to ask if they will become available. UPDATE – TO BE MADE AVAILABLE SOON ACCORDING TO HIGHWIRE PRESS.

Hellman DE, Eisen HJ, Goodman HM. The effects of hypophysectomy on phosphorylase activity in adipose tissue and muscle. Horm Metab Res. 1971 Sep;3(5):331-5. PMID: 4332655

Eisen HJ, Goodman HM. Growth hormone and phosphorylase activity in adipose tissue. Endocrinology. 1969 Feb;84(2):414-6. PMID: 4303531. Wrote to ask if they will become available. UPDATE – TO BE MADE AVAILABLE SOON ACCORDING TO HIGHWIRE PRESS.

Connection between Video Games and Bioinformatics?

The Scientist Magazine has a nice piece on one of my favorite people in all of Science – Sean Eddy. In the article, they discuss how Sean is one of those bioinformatics folks who does not just hack together some code to do something but actually writes really good code for his programs. For those of you who do not know, Sean has made a whole collection of software tools for biologists (see his web site here). Perhaps the most widely used is HMMER, which is designed for making and using hidden markov models. But there are some other good ones he has put out. My favorite is Forester, which was made by Christian Zmasek in his lab and is supposed to be available here, although the site is not working right now (NOTE – Christian has posted a new link for it in the comments). I like this because, well, it is software for “phylogenomic” analysis.

Anyway – it is a nice article about Sean, especially the parts talking about how his background in video games contributed to his success in bioinformatics. Back to something I said above, Sean is without a doubt one of my favorite people in science. There are many reasons for this but here are a few.

He is very open with ideas.
Once, at a conference, I gave a talk on this bizarre new pattern we had found when we were comparing the genomes of E. coli and V. cholerae. We had found that when we did genome-level alignments of these species there was an X-like pattern (see our paper on this here). Anyway, in the talk I said something to the effect of “we have no friggin idea how these X-like alignments could be generated” And Sean, I think in the quesiton session, pointed out that in another paper of ours we had seen what appeared to be symmetric inversions occurring around the origin of replication and that could create the X-alignment. And lo and behold he was right. We got the paper, but in a large part it was his push that got us looking at the inversions sooner than we would have.
He is very open with science.
Most of Sean’s work is on the open side of science. Open Source software. Open Access publications. Open everything. And I should point out that it was a talk by Sean that catalyzed my conversion into an Open Science supporter. I was attending a meeting in Ft. Lauderdale to discuss data release policies for genome projects. This meeting led to the “Ft Lauderdale Agreement” on data release, by the way. A the meeting there were many genomics players like Eric Lander and Francis Collins who were trying to push for not completely open data release policies where genome centers could release data but there would be constraints placed on the use of the data so that the genome centers would be the first to be able to publish genome scale analysis of an organisms genome sequence.

At the time I was working at TIGR and I supported this notion of basically letting people search for a few genes of interest but preventing them from doing genome analyses. And then Sean got up and gave a talk and, well, blew my mind. I am sure I have notes somewhere from the meeting but basically what he said was – the genome projects whole point is to generate genome data for people to do genome-level analysis. So how on earth can we justify preventing exactly the type of analysis that the projects were designed to generate. He was not saying that we should not somehow protect the genome centers. What he was saying was that for the benefit of science, we need to find a way to allow people to do genome-level analyses immediately on the data. And he also said that the risks of releasing ones data with no restrictions are much less than everyone claims. I think he convinced many people that genome centers needed to open up their data release policies a bit more. And he convinced me.

And so I went home from that meeting and decided to release the data from as many of my genome projects as I could, with NO restrictions (e.g., this is what we did with Tetrahymena). And also, this new found belief in openness helped pave the way for my conversion to being an Open Access publishing supporter.

Anyway, glad to see Sean getting positive press. It is well deserved. Now off to play some video games.

Future of Microbiology Funding at NSF?

Just got pointed to slides from Jim Collins’ recent talk at the ASM Meeting in Boston (Collins is the Assistant Director of the NSF Directorate for Biological Sciences) . Unfortunately, I missed his talk but you can get a PDF file of his slides (with proprietary ones removed) and it makes for some interesting viewing.

There are clearly some big changes planned at NSF for “microbial” research and there seems to be a plan to merge what used to be microbe focused projects into other programs such as NEON, Assembling the Tree of Life, and others. There do appear to be some “Microbe” specific programs that will still be around including a new one “Microbial Systems in the Biosphere” which seems to be replacing/merging with the Microbial Genomes and the Microbial Observatories program.

Anyway … it seems that some changes are afoot at NSF. Since I missed the talk it is hard to tell what the general plan and big picture is here. If anyone out there went to his talk or have seen other talks of his it would be useful if you could post some impressions here.

A million minds getting together can be confusing but might end up being really cool

Their is a possibly interesting paper in Genome Biology by Barend Mons et al: Calling on a million minds for community annotation in WikiProteins. I say possibly because the paper itself is quite confusing to me but the overall goal seems to be a cool concept. This group has created and is encouraging the use of “WikiProteins” a community annotation system for “community knowledge.” Sounds a bit fuzzy? Well, reading the paper does not completely help. For example here is the abstract

WikiProteins enables community annotation in a Wiki-based system. Extracts of major data sources have been fused into an editable environment that links out to the original sources. Data from community edits create automatic copies of the original data. Semantic technology captures concepts co-occurring in one sentence and thus potential factual statements. In addition, indirect associations between concepts have been calculated. We call on a ‘million minds’ to annotate a ‘million concepts’ and to collect facts from the literature with the reward of collaborative knowledge discovery. The system is available for beta testing at http://www.wikiprofessional.org webcite.

I got really lost reading this I confess. But I moved on since the overall concept seemed quite intriguing, even if I did not get it completely. But it did not get much clearer further on. For example consider their description of a “knowlet”

The future outlook to integrate data mining (for instance gene co-expression data) with literature mining, as formulated in the review by Jensen et al. [2], is at the core of what we aim for at the text mining/data mining interface. To support the capturing of qualitative as well as quantitative data of different natures into a light, flexible, and dynamic ontology format, we have developed a software component called Knowlets™. The Knowlets combine multiple attributes and values for relationships between concepts.

Scientific publications contain many re-iterations of factual statements. The Knowlet records relationships between two concepts only once. The attributes and values of the relationships change based on multiple instances of factual statements (the F parameter), increasing co-occurrence (the C parameter) or associations (The A parameter). This approach results in a minimal growth of the ‘concept space’ as compared to the text space (Figure 1).

OK … I got lost every time I tried to read this in detail. I do think they could benefit greatly by translating their paper from the language used by people who work on text mining to a broader presentation.

But reading between the lines here, this is a new, apparently open access system to try and get community annotation for “Concepts” and for relationships among concepts in biological sciences. Those concepts could include a wide range of things, including genes, genomes, proteins, as well as more standard concepts like functions. Whatever this system is, it seems worth checking out.

I leave you with their ending:

Once widely used and augmented, this resource could become an open, yet quality assured and comprehensive, environment for collaborative reference and knowledge discovery.

Now that I can say I understand and it sounds good to me. If anyone out there has any more insight into this, please give your input.

Deep microbes get all the love

Well, you know microbes must really be cool because Olivia Judson is blogging about them. You see, Olivia is also known as Dr. Tatiana. Judson’s book “Dr. Tatiana’s Sex Advice to All Creation” created and still creates a stir and helped make Olivia one of the go to people for discussions of the biology of sex and weird sex practices in the natural world. Now she has a blog (with what appear to be entries once a week) on the New York Times web site called “The Wild Side.”

In the blogs of hers that I have read (note to New York Times — your system of allowing access to the blog archive really sucks) I recall there being many references to microbes, even when the focus was not on microbes per se. And this week the whole darn blog is about them small little organisms. In this weeks blog, she writes about microbes living in the deep biosphere (some of my favorites) (see Meet the Intraterrestrials).

So – check out her blog. And encourage her to keep writing about microbes. We know they are cool but she can help convince all those others who are not yet microbe fans of this fact too.

Open Metagenomics: Selenium in the Oceans

Well, I have started previous an “Open Evolution” series here and now I am starting an “Open Metagenomics” series. I know, I have gotten grief from some out there (yes, you Rob Edwards – see comments here) about my support for somewhat non open things in metagenomics, so I am going to try and make up for that as much as possible.

In the first installment, I am pointing people to a new paper on PLoS Genetics “Trends in Selenium Utilization in Marine Microbial World Revealed through the Analysis of the Global Ocean Sampling (GOS) Project” by Yan Zhang, Vadim N. Gladyshev (hat tip to Katie Pollard for pointing out this paper).

In this paper the authors study selenium utilization using data from the first part of the Venter Global Ocean Survey (GOS) which was metagneomic sequencing from multiple samples – mostly surface ocean water. The GOS data they use comes from the Rusch et al. paper in PLoS Biology (note for full disclosure … I was an c0-author on this paper).

There have been challenges with getting and using metagenomic data from other people’s publications in the past and I note that the authors here obtained the data sets from CAMERA, a metagenomics database supported by the Moore Foundation. I note – it is my support of this database that Rob Edwards gave me grief about since the database is not currently completely open (e.g., you need to register to use it and the software that runs it is not currently all open source).

Anyway, they got the data from CAMERA, and then did a pretty comprehensive analysis to search for genes and features in the data that would be indicative of selenium utilization. Selenium is of great interest to many biologists for many reasons, including that it is required for the synthesis and function of Selenocysteine (Sec), which , if you do not know, goes occasionally by the nickname “The 21st amino acid”

Without going into all the details of the paper, the last paragraph sums up the major features

In this study, we report a comprehensive analysis of Sec utilization in marine microbial samples of the GOS expedition by characterizing the GOS selenoproteome. This is the first time that the microbial selenoprotein population is described in a global biogeographical context. Our analysis yielded the largest selenoprotein dataset to date, provided a variety of new insights into Sec utilization and revealed environmental factors that influence Sec utilization in the marine microbial world.

My favorite part of the paper is that they map some of the selenium related features onto the globe. For example, in one figure they show the inferred selenoprotein “richness” in

the different samples. (Selenoproteins are proteins that have selenocysteine in them). Now I am sure there are many assumptions they made in leading to the inferences they have made about selenium utilization and I am also sure some of these will turn out to be a bad idea. But to me, this paper is a good example of what researchers will be able to do with metagenomic data in the future. Sitting at their computers anywhere in the world, researchers can now ask questions about the distribution patterns of functions in microbes in the world. Pretty cool. And the more open we are with the papers, the tools, and the data, the more likely this type of work is to spread.

The figures are from the paper and I am permitted to use them here because they were published under a Creative Commons license that allows anyone to use them as long as the source is cited. The source is Zhang Y, Gladyshev VN (2008) Trends in Selenium Utilization in Marine Microbial World Revealed through the Analysis of the Global Ocean Sampling (GOS) Project. PLoS Genet 4(6): e1000095. doi:10.1371/journal.pgen.1000095

An Open Access pioneer – Trent Reznor

Normally, everything I write about here is at least indirectly connected to science in some way. However, today I am drifting into the world of music. The New York Times had an article a few days ago about Trent Reznor (Trent Reznor’s Frustration and Fury – Take It. It’s Free). Trent, the brains behind the band Nine Inch Nails (full disclosure – I am a fan of his music), has been railing against the constraints of the music industry for year.

And now he is going even further and in essence putting his music into the public domain as much as possible (see his web site NIN.com for more detail). For example

“Mr. Reznor even posts online all the raw digital tracks from Nine Inch Nails albums for anyone to remix. “I’m done with them,” he said. “Why not?”

And he is doing this even though the $$$ for producing his music does not come from the government. He does it in part because he wants his ideas and music to spread and he wants to contribute to musical development. There are obvious parallels between what he (and others) are doing in music and those who develop Open Source software and those who release their data and publications to be as free as possible. I know I am not the first to discuss this, but just thought I would put it out there.

Wanted – Summer Intern in Microbial Genomics/Diversity at the Gordon and Betty Moore Foundtion

The Marine-Microbiology Initiative at the Gordon and Betty Moore Foundation is looking a person to work there for the summer. This is

“a short-term opportunity for an advanced undergraduate or graduate student who would enjoy delving into the genes and genomes of the microbes sequenced as part of the Microbial Genome Sequencing Project (a.k.a the “Moore 155″).”

For further details and links see the GBMF job ad. Note applications are due June 16, 2008. Here is more detail on what they are looking for:

Since 2004, the Microbial Genome Sequencing Project (MGSP) funded by the Marine Microbiology Initiative has produced the complete genome sequences of a diverse array of Bacteria and Archaea. To date, the genomes of over 130 microbes have been sequenced, annotated using automated computer algorithms, and deposited in public databases. The primary objective for the internship will be to research and synthesize information about the genome content, isolation habitats, and ecology for these microorganisms.

Specific goals include:

-Synthesize important new discoveries from scientific publications resulting from the MGSP

-Compare genomes to seek novel patterns of gene content as a function of organism’s habitat and physiology

-Build 16S rRNA phylogenetic trees for major Bacterial and Archaeal clades for inclusion on the moore.org website

-Research the primary scientific literature relating to viruses (phage) that infect MGSP microorganisms to investigate the influence of phage on microbial evolution and ecology

Preferred Qualifications/Skill Set:

-Advanced biological sciences or computer sciences undergraduate or graduate student preferred

-Strong research, writing, and oral communication skills

-Strong interest and knowledge of microbial evolution and ecology

-Experience working with microbial genomes or gene sequences preferred

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