- 12/12/13 UC Davis ADVANCE New paper on “Global gender disparities in science”
- 12/12/13 ICIS Blog Erik Kansa on “It’s the Neoliberalism, Stupid: Why Open Access / Data / Science is not Enough”
- 12/3/13 microBEnet blog Art and microbiology meet again but not in the way you might have expected
- 12/3/13 microBEnet blog New publications on ribosomal RNA tools (databases, software, etc)
- 11/30/13 ICIS Blog Wanted – low cost system for publishing an #OpenAccess journal
- 11/24/13 microBEnet blog Microbe video of the week: NPR Animation of the Human Microbiome
- 11/18/13 microBEnet blog Well, yuck, I guess: Fifty Shades of Grey goes viral – literally
Category: Misc.
New paper on “Global gender disparities in science” (Crosspost from UC Davis ADVANCE Blog)
I am cross posting this from the UC Davis ADVANCE Blog where I posted it yesterday, since it is of relevance to this project and to the upcoming meeting we are organizing on “Publish or perish? The future of academic publishing and careers.”
There is an interesting new paper in Nature of interest. The paper is titled “Bibliometrics: Global gender disparities in science” and is by Vincent Larivière, Chaoqun Ni, Yves Gingras, Blaise Cronin & Cassidy R. Sugimoto. In the paper the authors report a detailed analysis three parameters:
- authorship of published scientific papers (which they use as a surrogate for research output)
- co-authorship on papers (which they use as a surrogate for collaboration)
- citations (which they use as a surrogate for scientific impact)
They then assigned gender to authors using multiple sources and examined the relationships between the 3 listed parameters and gender. And the findings are pretty striking.
I note – it is worth going to the Nature web cite for this article because some of the figures are interactive and one can click on different fields and change the plots.
The authors state – before digging into the details of their analysis “In our view, the scale of this study provides much-needed empirical evidence of the inequality that is still all too pervasive in science. It should serve as a call to action for the development of higher education and science policy.” A pretty strong statement that at least to me seems to be worth considering given their analysis.
Among their findings
- Globally men make up > 70% of the “fractionalized authorships” of scientific papers.
- Countries in S. America and E. Europe have somewhat better (on average) gender equity in authorship
- As shown previously, the gender ratio varies enormously between fields
- In terms of collaboration women tended to be more “domestically oriented” (i.e., focused on within country collaborations) than men.
- And the finding getting the most press — papers for which a woman had a prominent author position received fewer citations (on average) than those in which a man had such prominent position.
The authors then discuss the implications of their findings and make some recommendations for future actions. Among their conclusions (which I quote directly so as to not alter any implied meaning):
- “barriers to women in science remain widespread worldwide, despite more than a decade of policies aimed at levelling the playing field”
- “programmes fostering international collaboration for female researchers might help to level the playing field”
- “Any realistic policy to enhance women’s participation in the scientific workforce must take into account the variety of social, cultural, economic and political contexts in which students learn science and scientific work is performed”
This paper is definitely worth looking at in detail. And I note there is also a lot of supplemental material that might be worth downloading and playing around with. Data is critical for understanding the gender disparities in science and for planning and then testing ways to correct such disparities
Erik Kansa on “It’s the Neoliberalism, Stupid: Why Open Access / Data / Science is not Enough”
Erik Kansa has an interesting post directly related to this ICIS project: Digging Digitally » It’s the Neoliberalism, Stupid: Why Open Access / Data / Science is not Enough. In his post Erik discusses some concerns he has with the “Openness” movement. Not that he is against openness – he is one of the biggest supporters of openness out there. But he has concerns with the need to go beyond just making material open. For example he writes
The problem is that the need for reform goes far deeper than simply making papers and data available under CC-By or CC-Zero. Exploitative publishing regimes are symptomatic of larger problems in the distribution of wealth and power. The concentration of wealth that warps so much of our political and economic life will inevitably warp the Open Movement toward unintended and unwanted outcomes.
Furthermore, he argues that we need more non-profit entities dedicated to the public good and leveraging openness. For example he writes.
For every PeerJ or Figshare (and these are ultimately just as dependent on continued public financing of research as any grant-driven project), we also need more innovative organizations like the Internet Archive, wholly dedicated to the public good and not the relentless pressure to commoditize everything (especially their patrons’ privacy).
This is definitely worth a look. And, if you want to hear more from Erik, come to the meeting we are organizing in February where he will be talking and will be on a discussion panel. Meeting registration information is here.
Things I don’t understand episode 2000: Why in comparing humans & other animals the null hypothesis people always use (and thus try to disprove) is that humans ≠ animals
Well, this is something I just do not understand. I am sure others out there have thought about this more than I have. Just read this article: Considering the Humanity of Nonhumans – NYTimes.com discussing humans vs. non human animals. And there is this extensive discussion in there about whether animals have self awareness, and whether they deserve legal rights, and such. All very interesting I think.
But one part I do not understand. It is very clear that humans and other animals have many homologous features. It is very clear that humans are more closely related to some animals (e.g., primates) than to others. For many comparative studies of animals, if one wants to claim that some animal has a feature that is different from it’s close relatives, it is frequently up to the person proposing such a difference to disprove the null hypothesis that the close relatives are the same. This is the case when studying molecular processes, cell structures, physiology, genome structure, and so on.
Yet, there are a few biological features regarding humans for which it seems the null hypothesis everyone is forced to work with is the reverse. In these cases the null hypothesis is that we (i.e., humans) are unique and those who wish to claim that humans and other animals are similar / the same have to disprove the null hypothesis. This seems, well, awkward, at best. Basically, for some features – especially those that relate to intelligence and behavior – if one wants to claim that they are not unique one has to disprove the null. And yet, for all other features, the null hypothesis is that humans are not unique and those wanting to show uniqueness are forced to disprove this. On the one hand, I get this. There are many reasons why one might want to treat “humans are unique” in regards to intelligence and behavior – as the null hypothesis. But on the other hand – this seems exceptionally anthropocentric and has almost certainly prevented us from discovering and understanding certain behaviors and intelligence-related issues in non human animals. How do we as a community decided which null hypothesis to use for each phenotype?
Anyway – there it is. Something I do not understand.
CVS marketing probiotics for everyone – even kids – & the disclaimers are barely visible
Transitions in the CAMERA metagenomics database —
Just got this email announcement that I thought would be of interest:
Thank you for being a CAMERA user during its first phases of operation as a
resource for environmental genomics. During the past few years, CAMERA has
been able to offer a number of important community resources, including an
exceptionally well curated environmental genomic database, the ability for
researchers to deposit molecular sequence datasets with associated
environmental parameters (metadata), open access to computational resources
to enable metagenomic comparisons, educational resources and helpdesk
services. These efforts have been funded through the Gordon and Betty Moore
Foundation (GBMF) Marine Microbiology Initiative and the National Science
Foundation to serve the needs of the marine microbiology community and
other users.
As we announced earlier this year, CAMERA is undergoing a transition,
shifting from the Testing and Development phase of CAMERA 2.0 into multiple
entities that are supported by federal and foundation-funded projects for
developing and managing databases. Toward this end, we are re-prioritizing
access to the advanced data analysis capabilities of the system (see below)
while maintaining free and open access to CAMERA’s rich collection of
curated data and metadata. This will involve CAMERA being restructured into
a publicly accessible Data Distribution Center consisting of a simplified
website to enable streamlined access for downloading of sequence datasets
and associated metadata. This new interface will serve as an intuitively
accessible central repository, facilitating direct access to genomic,
metagenomic, transcriptomic, and metatransciptomic projects. Further, the
CAMERA 3.0 database will continue to grow and be maintained with the
inclusion of additional marine microbial datasets, such as the ~700 new
marine microbial eukaryote transcriptome datasets as part of the Marine
Microbial Eukaryote Transcriptome Sequencing Project
(marinemicroeukaryotes.org).
In the past, the CAMERA 2.0 compute resources, which include large-scale
BLAST capabilities and other workflow-enabled analysis capabilities, were
generously supported by the GBMF, the San Diego Supercomputer Center, the
NSF XSEDE program, and commercial Cloud computing resource providers,
Amazon and CODONiS. Due to increasing computational costs and the need for
scalability to larger, more complex datasets, it is now necessary for
CAMERA 3.0 to adopt a resource access model wherein projects will need to
identify sources of funding to cover their use of these advanced
capabilities. Starting January 1, 2014, CAMERA 3.0 will no longer offer the
use of computational resources to projects that cannot identify a source of
support for this component of CAMERA 3.0 services. As we shift to this new
usage model, we urge current users to download and save customized data
cart holdings and workflow analysis results before January 1, 2014.
While we are shifting to a restricted resource compute model, we will
continue to improve the capabilities of the system to expand the scientific
breadth of the data managed by CAMERA 3.0. For example, CAMERA 3.0 includes
fully functioning workflows for Illumina datasets, which can be made
available to those users who can identify a source of support for the
associated computational costs. In addition, CAMERA is actively seeking
resources to continue to take community data submissions. If you are now
collecting or have plans to collect data which you wish to deposit in
CAMERA, we urge you to contact us to help you to determine how to obtain
the resources required for these data to be archived and made available
through CAMERA.
Email from #UCDavis on UC #OpenAccess Policy
Just got this email
On behalf of Provost Hexter and Academic Chair Nachtergaele, please find the attached letter regarding the UC Open Access policy. For your convenience and reference, the text of the letter is pasted below.
ACADEMIC SENATE AND ACADEMIC FEDERATION FACULTY
COUNCIL OF DEANS AND VICE CHANCELLORS
DEPARTMENT CHAIRS AND DIRECTORS
Dear Colleagues:
We are pleased to inform you that on July 24, 2013, the Academic Council voted to adopt an Open Access Policy for scholarly articles published by Senate faculty across the University of California system. An article deposit system to support the policy was released, on a pilot basis, at UCLA, UC Irvine and UC San Francisco on November 1, 2013, and will be officially rolled out at the other campuses on November 1, 2014, pending the outcome of the pilot.
The Open Access Policy allows faculty members to maintain legal control over their research articles while making their work much more widely available to the public. The policy does not require faculty to publish in open access journals, or to pay fees or charges to publish; instead it commits faculty to making a version of each article available publicly in an open access repository.
Faculty can take advantage of this right by using UC’s eScholarship digital repository via http://www.escholarship.org/ (or any other open access repository) to make a version of any article publicly and freely available worldwide. While it is expected that faculty at UCLA, UC Irvine and UCSF will make their articles freely available (via eScholarship or another OA Repository) effective immediately, faculty at the other 7 UC campuses are also free to begin depositing their articles now if they wish. Faculty authors may opt out of the policy for any given article, may delay the date of appearance of the article (“embargo” it), and may choose the terms of use that will be applied to each article (for example, whether it is for commercial or non-commercial reuse).
This policy has been under review by the Senate divisions and committees for two years and its implementation is a move of major significance. Policies like this one have been adopted by more than 175 universities but none as large, influential or productive as the University of California. The move signals to publishers that UC faculty want to see open access implemented on their own terms.
The California Digital Library and the campus libraries have developed a streamlined eScholarship deposit system and tools for obtaining waivers and embargoes to assist faculty in complying with the policy. The CDL has also contacted over 600 publishers to alert them to the policy and encourage their cooperation with its terms. Faculty on all campuses may receive questions about compliance from publishers and can consult the resources listed below (including an FAQ) for assistance.
Learn more about your rights and responsibilities under this policy at the UC Open Access Policy website.
Watch a 90-second video about the policy – and pass it on!
http://osc.universityofcalifornia.edu
Discover how easy it is to deposit your articles in eScholarship.
http://osc.universityofcalifornia.edu/open-access-policy/deposit/
Find out who to contact at your campus library for assistance.
http://osc.universityofcalifornia.edu/open-access-policy/oa-contacts/
Sincerely,
Ralph J. Hexter
Provost and Executive Vice Chancellor
Bruno Nachtergaele
Chair, Davis Division of the Academic Senate
Mini journal club: staged phage attack of a humanizes microbiome of mouse
Doing another mini journal club here. Just got notified of this paper through some automated Google Scholar searches: Gnotobiotic mouse model of phage–bacterial host dynamics in the human gut
Full citation: Reyes, A., Wu, M., McNulty, N. P., Rohwer, F. L., & Gordon, J. I. (2013). Gnotobiotic mouse model of phage–bacterial host dynamics in the human gut. Proceedings of the National Academy of Sciences, 201319470.
The paper seems pretty fascinating at first glance. Basically they built on the Jeff Gordon germ free mouse model and introduced a defined set of cultured microbes that came from humans. And then they stages a phage attack on the system and monitored the response of the community to the phage attack.
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| Figure 1 from Reyes et al. |
They (of course) also did a control – in this case with heat killed phage. And they compared what happened to the live phage. I love this concept as they are able to control the microbial community and then test dynamics of how specific phage affect that community inside a living host. Very cool.
Journal club light: skeptical of "Phylo SI: a new genome-wide approach for prokaryotic phylogeny"
Just reading this paper and thought I would start a new “section” here on my blog. Journal club light. Just some notes and quick comments.
Today I am selecting this paper: Phylo SI: a new genome-wide approach for prokaryotic phylogeny. It caught my eye because, well, I am interested in genome-wide phylogeny.
So I glanced at the paper’s abstract:
The evolutionary history of all life forms is usually represented as a vertical tree-like process. In prokaryotes, however, the vertical signal is partly obscured by the massive influence of horizontal gene transfer (HGT). The HGT creates widespread discordance between evolutionary histories of different genes as genomes become mosaics of gene histories. Thus, the Tree of Life (TOL) has been questioned as an appropriate representation of the evolution of prokaryotes. Nevertheless a common hypothesis is that prokaryotic evolution is primarily tree-like, and a routine effort is made to place new isolates in their appropriate location in the TOL. Moreover, it appears desirable to exploit non–tree-like evolutionary processes for the task of microbial classification. In this work, we present a novel technique that builds on the straightforward observation that gene order conservation (‘synteny’) decreases in time as a result of gene mobility. This is particularly true in prokaryotes, mainly due to HGT. Using a ‘synteny index’ (SI) that measures the average synteny between a pair of genomes, we developed the phylogenetic reconstruction tool ‘Phylo SI’. Phylo SI offers several attractive properties such as easy bootstrapping, high sensitivity in cases where phylogenetic signal is weak and computational efficiency. Phylo SI was tested both on simulated data and on two bacterial data sets and compared with two well-established phylogenetic methods. Phylo SI is particularly efficient on short evolutionary distances where synteny footprints remain detectable, whereas the nucleotide substitution signal is too weak for reliable sequence-based phylogenetic reconstruction. The method is publicly available at http://research.haifa.ac.il/ssagi/software/PhyloSI.zip.
And something continued to catch my eye there. It was the use of “gene order conservation” as the data for the phylogenetic analysis. Hmm. I am generally skeptical of most uses of gene order for inferring phylogeny that I have seen. Why? Well, because it seems to me that gene order is less likely to be a useful character than sequences in alignments (which is the standard for inferring phylogeny). Why do I feel this way? Well, for two main reasons:
1) Sequence alignments are robust. They have been used and used and used and shown to be quite powerful and useful (even though they are not perfect). The rich literature on alignments has shown where and when and how they are useful. And where and when and how they are not. And we have powerful, tested methods to use such alignments.
2) Gene order seems less likely to be robust. I am not saying it is not useful. But the literature I have seen suggests to me that gene order is more prone to convergent evolution than sequence. And gene order is more prone to enormous variation in rates and patterns of evolution. And gene order does not actually have a lot of characters to use compared to whole genome alignment based phylogenetics.
I could go on and on. There are many other reasons I prefer sequence alignments over gene order. But I am willing to consider that gene order could be more useful than I imagine. So I read on. And the first thing I did (which is almost always the first thing I do for new phylogenetic methods papers) was I looked at their phylogenetic results. And so off to Figure 9. And the results did little to convince me that their method was better than existing alignment based methods.
I am sure people cannot see this that well. But basically, I looked through the tree and there were just too many things that are inconsistent with trees that are very supported by lots of other data.
For example
which has in one clade species that almost certainly should not group together. In particular the presence of Neisseria in this group is very strange given that all other analysis put it in the Protebacteria and the Proteobacteria are found in other parts of the tree.
And there is another clade like this
With Francisella (also considered a Proteobacteria) in a clade with things from many other Phyla.
And then there is this one.
Which has gamma Proteobactera, alpha Proteobacteria, Spirochetes, and others all together in one clade.
I could go on. But this is journal club light. I just do not have time right now to dig much deeper. But on first look, I am certainly not overwhelmed with a desire to use gene order instead of sequence alignments to infer phylogenetic trees for bacteria. Again, I am not saying the method does not have its uses. It easily could be useful in many ways. But for inferring trees of all bacteria at once – does not seem to be the right thing.
Women in Leadership – Panel session Invitation
Just got this announcement:
Hello everyone,
The Women in Leadership (WIL) Seminar Series is proud to present its final event–the WIL panel session! Come hear 6 extraordinary woman leaders speak about their experiences in academia, industry, and government. They will discuss the challenges they faced in becoming a successful woman leader, as well as the multitude of rewards being a leader brings. Our panelists include: SARTA CEO Meg Arnold, Chancellor Linda Katehi, Manzanita Pharmaceuticals CEO Constance McKee, Vice Provost Maureen Stanton, California State Senator Lois Wolk, and Synergex and CleanWorld CEO Michele Wong.
The panel session takes place on Monday, December 2nd, from 3:30-5pm in the Conference Center on the UC Davis campus. The event is open to the public, so please tell your friends, colleagues, and family! You can RSVP for the event here: http://wilpanelsession.eventbrite.com/



















