MetaboNews Masthead
Published in partnership between
TMIC and the Metabolomics Society

Issue 46 - June 2015


Online version of this newsletter:

Welcome to the forty-sixth issue of MetaboNews, a monthly newsletter published in partnership between The Metabolomics Innovation Centre (TMIC, and the international Metabolomics Society (, to keep metabolomics researchers and other professionals informed about new technologies, software, databases, events, job postings, conferences, training opportunities, interviews, publications, awards, and other newsworthy items concerning metabolomics. MetaboNews represents the one-stop-shop for the very latest and most critical news about the science of metabolomics. In this issue, we feature a Metabolomics Spotlight article on Workflow4Metabolomics 2.0, new workflows for LC-HRMS, GC-MS, and NMR data processing, statistical analysis, and annotation, and a metabolomics interview with Craig Wheelock of the Karolinska Institute.

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Metabolomics Society Logo

Metabolomics Society News


11th Annual International Conference of the Metabolomics Society
Location: San Francisco, USA
Dates: June 29 - July 2, 2015

This year’s Metabolomics conference in San Francisco promises to be the biggest ever. With 12 workshops and 21 oral sessions there will be something for everyone. Registration closes May 30th and rooms are selling out fast. Book now to avoid disappointment!

SAVE THE DATE: 12th Annual International Conference of the Metabolomics Society
We are excited to announce that the 2016 Metabolomics conference will be held in DUBLIN, IRELAND from 27th-30th June 2016.
Dublin was selected following a highly competitive bidding process. The local organising committee, chaired by Lorraine Brennan and Aifric O’Sullivan, presented an impressive conference proposal, and we look forward to an amazing conference in 2016.

Support for non-Society conferences and workshops
The Metabolomics Society provides small grants to support events that promote metabolomics. The funding may be used to provide student prizes, travel awards or catering for small events such as symposia, workshops, seminars and short-courses. The Society may also sponsor larger conferences where there is strategic opportunity to promote metabolomics science within other scientific disciplines.

In 2015 the Metabolomics Society will provide student/EMN travel awards for the following meetings. Please see the individual websites for eligibility and application information:
For more information, or to apply for funding for your event, see:


Early-career Members Network (EMN)
The EMN is dedicated to and run by early-career scientists who are members of the Metabolomics Society and are from academia, government, or industry. The network aims to provide a forum for metabolomics researchers at the start of their professional career.

EMN webinar series
The Early Career Members’ Network Committee recently hosted its third webinar on April 14, 2015 (11 am CEST), with a presentation by Prof. Teusink from VU University Amsterdam. The webinar on "Metabolomics and systems biology: models as guide and natural integrator” was free for all to attend, and we would like to thank all attendees who tuned in to our session and engaged in what was a dynamic questions segment afterwards. If you are interested in the content of our third webinar, a recording has been made freely available on the Metabolomics Society website. Stay tuned for information on our next webinar series featuring Dr. Cristophe Junot from Life Science Division of CEA (Commissariat à l’Energie Atomique), France.

EMN event at the 9th Annual Meeting of the French Metabolomics and Fluxomics Network
The Early-Career Members Network (EMN) of the Metabolomics Society is pleased to be present during the 9th Annual Meeting of the French Metabolomics and Fluxomics Network (9 JS RFMF) to be held in Lille, France, 9-11 June 2015. The EMN will organize a lunch session on Tuesday 9 June, which aims to seize networking opportunities for early career scientists and to reinforce the communication and the collaboration between the Metabolomics Society and the RFMF and its early career division, RFMF Junior.
The 1-hour lunch session will include:
The EMN is looking forward meeting you in Lille, France!

EMN Workshops at the 11th Annual International Conference
The EMN will host four workshop sessions (Big Data, Metabolic Pathways, Careers in Metabolomics and Ethics in Research) tailored for the needs of the early-career members. Please check the website of the conference for details on the program. If you are attending the annual meeting and would like to connect with fellow early career researchers, make sure to attend our events in San Francisco.

Please feel free to contact us via if you have any suggestions or comments regarding our planned activities this year (i.e., online webinars and workshops). If you think you have a great idea for a new activity we should organise then please do share with us; the EMN can only be a success with your support and ideas!


International Affiliations Task Group
The International Affiliation Task Group will be officially founded during the Annual Society Meeting in San Francisco in June. Representatives of our International Affiliates will meet on Tuesday, June 30th at 6 pm to discuss how we can build a regular communication basis for Affiliates and to form the Task Group electing a chair overseeing the activities. The International Affiliation Task Group (IATG) will discuss common issues, brainstorm ideas and strategies to strengthen metabolomics sciences globally and most importantly to work with the society to grow our community. The Chair of the IATG will also be responsible to report back to the Board of Directors what the group discussed and how we can work closer together.

If you are interested to learn more about the International Affiliation Task Group or if you would like to attend the meeting in June, please contact the President Ute Roessner (


Australian & New Zealand Metabolomics Network (ANZMN)
The Australian and New Zealand Metabolomics Network vice president, Dr. Darren Creek of Monash University, would like to remind any ANZMN attendees to the Metabolomics conference in San Francisco that they are invited to an informal ANZMN get-together on the Tuesday evening of the conference. If you are interested in this please contact Dr. Creek ( for full details. The full program of the conference is now online (, as well as information about the sponsor events which includes a 'Beer-omics' event on the Thursday after the conference, which should be interesting.

For those of you reading this who would like to come to Australia to undertake a metabolomics project the Endeavour Scholarships and Fellowships are currently open for applications and may be of interest. Please see for all the details


Metabolomics journal, Vol. 11, Issue 3, June 2015
See the latest issue of our journal at:

In addition to the many excellent research papers, this issue contains the following contributions on the Metabolomics Society pages:

Stay abreast of the latest metabolomics news via the Twitter feed on the front page of the website. Also you can follow us on Twitter: Metabolomics Society @MetabolomicsSoc and Metabolomics journal @Metabolomics. And you can visit us on Facebook.


Call for nominations for Directors of the Metabolomics Society
In the next three months, the Metabolomics Society will undertake the annual process of nominating and electing four members to serve on the Society’s Board of Directors. We strongly encourage all Society members to play a role in nominations and elections.
Please contribute to shaping the future of our Society by voting and playing an active role.

Tim Ebbels (Chair of Nominations Committee) & Ute Roessner (President)

Software Spotlight

Metabolomics Spotlight

Workflow4Metabolomics 2.0 Logo

Workflow4Metabolomics 2.0: New workflows for LC-HRMS, GC-MS, and NMR data processing, statistical analysis, and annotation

Étienne A. Thévenot1, Marie Tremblay-Franco1, Misharl Monsoor2, Marion Landi1, Yann Guitton3, Gildas Le Corguillé2, Mélanie Pétéra1, Christophe Duperier1, Jean-François Martin1, Pierrick Roger1, Franck Giacomoni1, Christophe Caron2

1. MetaboHUB: The French infrastructure for metabolomics and fluxomics
2. IFB: French Bioinformatics Institute

What is W4M?
W4M is an online resource for computational metabolomics built upon the Galaxy environment (Giacomoni et al., 2015). W4M currently contains 28 modules for pre-processing, statistical analysis, and annotation of data from LC-HRMS, GC-MS, and NMR instruments (Figure 1). The high-performance computing environment of W4M (600 cores, 100 TB) enables to analyze datasets of more than several hundreds of samples in a few hours while requiring only 1% of the resources. Via the homepage users can open a private account and access the infrastructure. More than 130 user accounts have been opened in less than one year. W4M is a collaborative project: it is currently developed and maintained by a core team of bioinformaticians from the French Bioinformatics Institute (IFB) and the French infrastructure for metabolomics and fluxomics (MetaboHUB; see the Sep. 2014 MetaboNews Interview).

W4M includes 28 modules
                  module overlap

Figure 1. Available modules and datasets in W4M. Left: The 28 modules cover all the steps from data conversion and pre-processing, through normalization and statistics, to annotation. Right: Some modules are specific to one technology (e.g., for pre-processing and annotation) while others are common (e.g., for statistical analysis).

W4M for Users
W4M provides all the tools to build a comprehensive LC-HRMS workflow starting with format conversion, continuing with data processing, followed by normalization and quality control, performing univariate and multivariate statistical analyses, and ending with annotation (Figure 2). Tutorials, shared workflows, and histories allow beginners to learn how to conduct their analyzes. Furthermore, the help desk ( from the Core Team provides support regarding all functionalities of W4M.

Creating a workflow is straightforward

Figure 2. Creating a workflow for data processing, statistical analysis, and annotation is straightforward.

W4M for Developers
Building a Galaxy module from a script (whatever the programming language and the operating system) is straightforward, requiring only a configuration file (.xml) and a wrapper to integrate the tool into the Galaxy interface and handle the inputs/outputs. W4M 1.0 is available for download as a virtual machine. Developers can therefore install the instance locally and test the integration of their own modules. In addition, a toolshed will be available soon to share the modules individually. W4M is therefore a collaborative VRE and new contributors are welcome.

What’s New in Version 2.0?
The new release (June 1st, 2015; Figure 3) provides advanced modules for LC-MS analysis in addition to new tools for GC-MS and NMR pre-processing.

W4M available modules
Release 2.0 includes
                  advanced functionalities for LC-HRMS

Figure 3. Summary of some of the available tools for LC-MS, GC-MS, and NMR data analysis. Left: New modules (or modules with major updates) are in green. Right: The 2.0 release contains advanced functionalities for LC-HRMS, in addition to specific pre-processing modules for NMR and GC-MS.

NMR preprocessing modules include bucketing (Figure 4) and normalization (e.g., Probabilistic Quotient Normalization).

          spectra bucketing and normalization

Figure 4. NMR spectra bucketing and normalization. Files resulting from upstream pre-processing with the TopSpin software (left) can be imported into W4M for bucketing and integration (NMR bucketing module; right), followed by normalization (NMR normalization module), and subsequently analyzed with the statistical modules.

Advanced LC-MS functionalities (24 modules) include signal drift and batch-effect correction (Figure 5), quality control of samples and variables (Hotelling's T2, intensity quantiles), N-way ANOVA, (O)PLS(-DA), and annotation with in-house or public databases.

Signal drift correction

Quality Metrics module

Figure 5. Advanced MS tools for signal drift correction and quality control. Left: The signal drift observed on the raw data can be corrected with the Batch Correction module. Right: The presence of sample outliers can be then assessed with the Quality Metrics module.

What’s Next?
The W4M course 2015 (21-25 September 2015, Roscoff, France) will teach experimenters about W4M features and allow them to practice with their own data. (Note: for this first session, presentations will be in French but slides will be in English.) W4M will continue to be enriched with new modules. Future development will include new functionalities for MS2 analysis and NMR annotation, in addition to pathway annotation through a connection to MetExplore, and raw data export to the MetaboLights repository.

Acknowledgment: W4M is supported by the grants from MetaboHUB [ANR-11-INBS-0010], IFB [ANR-11-INBS-0013], Biogenouest®, Lifegrid (Auvergne), and by the IDEALG project [ANR-10-BTBR-04].

Please note:
If you know of any metabolomics research programs, software, databases, statistical methods, meetings, workshops, or training sessions that we should feature in future issues of this newsletter, please email Ian Forsythe at

 MetaboInterview Icon


This section features interviews with prominent researchers in the field of metabolomics. The aim of these interviews is to shed light on metabolomics researchers around the world and give them an opportunity to share their metabolomics story. In this issue, we feature an interview with Craig Wheelock.

Associate Professor in the Department of Medical Biochemistry and Biophysics at the Karolinska Institute, Sweden
Craig Wheelock


Craig Wheelock performed his doctoral work with Dr. Bruce Hammock at UC Davis in Agricultural and Environmental Chemistry. Following a postdoctoral stint in the Hammock laboratory, he moved to Kyoto Japan in 2004, where he performed postdoctoral studies at the Bioinformatics Center in the Institute for Chemical Research at Kyoto University. In 2006, he moved to the Karolinska Institute in Sweden, where he currently heads the Integrative Molecular Phenotyping laboratory ( Research in the Wheelock laboratory is focused on the use of mass spectrometry-based approaches to perform molecular phenotyping at the population level. The interests of the group are centered on understanding the pathophysiology of inflammatory respiratory diseases, particularly asthma. An emphasis of the group is the targeted analysis of lipid mediators (e.g., eicosanoids, sphingolipids) and investigating their role in the etiology of inflammatory disease. As part of our molecular phenotyping efforts, we develop the analytical, statistical and informatics methods necessary to concatenate and interrogate ‘omics-based data structures.

Metabolomics Interview (MN, MetaboNews; CW, Craig Wheelock)

MN: How did you get involved in metabolomics?

CW: My entry into the metabolomics field came in a rather roundabout fashion. I performed my doctoral studies with Bruce Hammock at UC Davis, and at the time he was developing profiling methods for eicosanoids and related lipid mediators. Initially, we never called it metabolomics, but simply bioanalytical chemistry. It is a somewhat philosophical question of, at what point does quantification of a large number of compounds become a metabolomics experiment?

My first real non-targeted metabolomics experiment was performed on a Micromass LCT ToF. We were doing fingerprinting analyses of BALF from rats exposed to nitronaphthalene and ozone. At that time, there were no developed workflows for data processing, so we simply binned the data based upon accurate mass and retention time. We then used primarily PCA to analyze the data to identify metabolite features associated with exposure. However, we had no idea of the metabolite ID. We found a promising target based upon the statistical analysis and I then spent several months trying to identify the compound. At the end, I finally succeeded by pooling collected fractions and analyzing on a GC/MS system. I had a spectrum that gave a solid match with the NIST library. The identified compound was pentobarbital, which was what we had used to sacrifice the rats. Based upon that experience, I decided that I never wanted to perform fingerprinting experiments again, and have therefore always pushed in my own work to have as many analytical standards as possible for metabolite identification.

MN: What are some of the most exciting aspects of your work in metabolomics?

CW: Metabolomics is a relatively new area and it is quite exciting to be involved in its development. However, what we find most interesting is the application of metabolomics to perform molecular phenotyping at the population level. Many of the diseases that we study, such as asthma, have historically been considered to be a single homogeneous disease. However, we now know that the disease is heterogeneous in nature with multiple sub-phenotypes. We are therefore involved in several large-scale projects to apply a metabolomics approach to perform molecular phenotyping of asthma cohorts to identify distinct sub-phenotypes. The hope is that we can use these sub-phenotypes to obtain a more nuanced and accurate understanding of the disease etiology and pathobiology as well as develop more appropriately targeted disease treatment strategies.

MN: What key metabolomics initiatives are you pursuing at your research centre or institute?

CW: We have recently partnered with Agilent to use their 6550 QToF system to perform the largest molecular phenotyping study to date in severe asthma. We will perform non-targeted metabolomics in the U-BIOPRED severe asthma cohort, which will involve ~600 baseline and ~300 follow-up samples in adults and ~300 baseline and equivalent follow-up samples in pediatrics. We will examine both urine and plasma, for a total of roughly 3000 samples to be analyzed over the next year. These data will then be incorporated into the U-BIOPRED analysis workflow, to be analyzed in combination with the transcriptomics, proteomics, and lipidomics platforms as well as the patient clinical data. This project has the potential to greatly increase our understanding of both adult and pediatric severe asthma.

In collaboration with Dr. Roland Nilsson at the Karolinska Institute, we are setting up a metabolic tracing facility. The metabolism of a cell is made up of hundreds of biochemical reactions occurring simultaneously to process nutrients, synthesize cell material, and produce energy. It is a distinct challenge to analyze this array of biochemical complexity and even more difficult to understand the temporal component of the metabolic reactions. In collaboration with Dr. Nilsson’s group, we will use a combination of stable isotope-labeled substrates, targeted mass spectrometry, and mathematical modeling techniques to derive information about metabolic flux.

MN: What is happening in your country in terms of metabolomics?

CW: Sweden is a small country; however, it prioritizes research and spends >3% of GDP on R&D, while the EU as a whole is around 1.9%. Still due to the overall size, the number of metabolomics groups in Sweden is rather limited. The most significant development is clearly the founding of the Swedish Metabolomics Centre in Umeå. This public/private partnership has been funded as a National Facility to serve all of Sweden. Due to the generous funding, they are able to provide subsidized analyses to the Swedish research community. This has clearly been helpful in raising the profile of metabolomics research in Sweden.

There are, however, unfortunately significant barriers to the proliferation of metabolomics research in Sweden. Given the cost associated with the purchase of high-resolution mass spectrometers, it is extremely challenging for new groups to get established in this field. In addition, there is a push in Sweden by the Swedish Research Council to limit the acquisition of mass spectrometers to a few key laboratories of national importance. The consequence of this action is that it has become extremely difficult for individual laboratories to acquire their own mass spectrometers. I think that this will have a distinctly negative effect on the research climate. While research funding is limiting in most countries these days, it is rarely a helpful solution when politics decides how research funds should be distributed. I strongly believe that any researcher who is capable of making a scientific justification for the need of a mass spectrometer (or other high-cost infrastructure) in their research should have the opportunity to acquire that instrument through the normal funding channels. Restricting these efforts will most likely have long-term negative effects on innovation and the development of new research groups.

MN: How do you see your work in metabolomics being applied today or in the future?

CW: We are most interested in using non-targeted metabolomics to understand the variation in metabolism in a healthy population. While many studies focus on the nature of disease with the intent of identifying biomarkers or new therapeutics, our interest is in understanding health. The primary questions for me are: 1) What is a healthy phenotype? and 2) What can we do to maintain that phenotype? We must be able to define health as more than the absence of disease. I see metabolomics as a key method for defining and quantifying a healthy phenotype. If we can gain a detailed understanding of the range of metabolites and associated metabolic processes (flux) associated with a healthy phenotype, it will greatly enable our ability to understand metabolic shifts associated with different disease states.

It is exciting to think of future applications where, based upon metabolomics work, we have identified a key panel of metabolites that can be routinely monitored in a clinical setting. Specialized algorithms can then be used to track an individual’s metabolic trajectory as a measure of personal health and phenotype status. Based upon the mapping of key metabolites in metabolic networks, complex biochemical pathways could be created for each individual—and updated during routine visits to the clinic to provide a temporal element to model flux. Clinicians could then suggest lifestyle modifications (i.e., dietary, therapeutic) to modify the biochemical pattern to maintain the metabolic balance associated with that person’s individual healthy phenotype. From a technological standpoint, it is not difficult to develop a microfluidics chip capable of simultaneously analyzing hundreds of metabolites from a few microliters of blood. This can already be realistically done for prices in the range of 10-12€ per chip, which is reasonable for clinical application. Accordingly, the primary limitations now are a lack of understanding of the range of metabolite profiles associated with health and their relationship to the onset of disease. However, it is only a question of time before we begin to understand these connections as well. I therefore see a very bright and exciting future for the applications of metabolomics.

MN: As you see it, what are metabolomics' greatest strengths?

CW: Metabolomics offers the ability to provide a quantitative molecular phenotype of an individual. This has important implications for identifying molecular pathways associated with disease and with therapeutic response. An individual’s metabolome is the end-scale product of the preceding steps in the so-called ‘omics cascade (e.g., genome, transcriptome, proteome). Accordingly, quantification of a metabolome provides an integrative readout of all of the molecular and biochemical pathways from transcript to post-translational modification, even integrating the question of nature vs. nurture to a single quantifiable endpoint.

MN: What do you see as the greatest barriers for metabolomics?

CW: As many researchers have highlighted in MetaboNews, one of the primary challenges lies in conclusively identifying metabolites. I think that the days of reporting putative IDs based solely upon accurate mass or even simply metabolite features are behind us. A metabolomics experiment requires the reporting of metabolite IDs with a high degree of accuracy. This is a non-trivial point that will most likely be an active area of research for years to come. However, for common metabolites, we are seeing the development of standardized kits (e.g., Biocrates, IROA Technologies™) and the majority of metabolomics laboratories have created in-house databases of standards for metabolite ID. The challenge is, of course, in identifying novel metabolites and this will always be an open area of discovery.

MN: What improvements, technological or otherwise, need to take place for metabolomics to really take off?

CW: One of the next important areas will be to add a temporal component to our experiments. There are already a number of groups exploring fluxomics and I expect this to increase significantly. One of the challenges is, of course, the necessary computational skills in order to model these more complex datasets. There is as of yet no vendor software to handle this type of data and we have had to develop our own academic collaborations to analyze this type of data.

The reproducibility of a metabolomics experiment is also a significant issue. One of the common applications of metabolomics is the analysis of large cohorts; however, there can be significant batch effects associated with non-targeted metabolomics. Often times the technical variability is larger than the biological change observed in a given study. It is therefore extremely important to have rigorous methods to enable batch correction. A number of groups have published methods to address this issue (for example, see the excellent work by David Broadhurst and colleagues); however, there are of as yet no standardized methods for data processing. On a practical level, a result of this issue is the need to include a large number of QC samples in each batch or sequence. We inject a pooled QC after every 5th sample and also have a series of matrix blanks, reference material, standards, etc. The end result is that almost 20% of the samples we analyze in a given sequence are part of the QC process and not for providing primary data. This greatly slows down our ability to analyze large cohorts, but, given the current technology, it is absolutely imperative. Accordingly, one of our greatest obstacles becomes throughput. While some techniques like NMR can have extremely fast throughput, our approach to a metabolomics experiment results in a throughput of only eight samples per 24 hours. It therefore has become an almost insurmountable bottleneck to analyzing large cohorts.

MN: How does the future look in terms of funding for metabolomics?

CW: Funding is challenging everywhere and Sweden is no exception. While many groups are interested in the concept of metabolomics and the promise of providing a full metabolite profile, there are insufficient funds available for the necessary infrastructure to perform these experiments. We have turned down many interesting collaborations due to a lack of infrastructure. It is very challenging to obtain the funds for purchase of the high-resolution instruments necessary for a broad non-targeted metabolomics experiment. Still, I think that there is a an increasing recognition of the role that a metabolomics experiment has to play in many of these large cohort studies and I am very optimistic that we will continue to see increased resources devoted to metabolomics. In times of limited research funding, it is valuable to work in a novel area that is continuing to expand. I think that metabolomics offers this distinct benefit and opportunity to junior scientists.

MN: What role can metabolomics standards play?

CW: I cannot overstate the importance of standards in a metabolomics experiment. I think that standards are key to providing stable metabolite IDs in a routine fashion. While there will always be a place for discovery science involving novel metabolites, standards are clearly necessary to accurately report identified metabolites. Towards that end, the ongoing efforts of the metabolomics community to standardize reporting of metabolomics experimental data are very important for bringing cohesion to the field. We therefore strongly support the MetaboLights efforts as well as the Metabolomics Standards Initiative (MSI).

MN: Do you have any other comments that you wish to share about metabolomics?

CW: It is an exciting time for the field of metabolomics. We are starting to see the technological developments that enable us to perform rigorous metabolomics experiments. However, the field is still very much wide open. There is a real opportunity for people with great ideas and novel ways of performing experiments to greatly add to the potential of metabolomics. However, it is important to remember that science is more than a method. While the analytical setup of a metabolomics experiment is vital for success, it is just as important to have a clear focus and understanding of the biology that is being investigated. In addition, a solid method and a good mass spectrometer are no excuse for not having a hypothesis. Succinctly put, do not forget that understanding the biology is key and I would advise young metabolomics scientists to also focus on biological questions of interest as much as concentrating on their analytical work. With a robust method and an intriguing hypothesis, the future is indeed wide open.

Please note: We are open to suggestions for our MetaboInterviews section. Please send suggestions for future interview candidates to Ian Forsythe at

Metabolomics Current Contents

Metabolomics Current Contents

This section of MetaboNews is supported by:
LECO Corporation


Metabolomics Events

14-18 Jun 2015

3rd Annual Workshop on Metabolomics
Location: University of Alabama at Birmingham, Birmingham, Alabama, USA

The course is jointly sponsored by the National Institute of General Medical Sciences (NIGMS) as part of the NIH Common Fund Metabolomics Initiative, and the Departments of Chemistry and Pharmacology and Toxicology at University of Alabama at Birmingham (UAB). There is fellowship support for young scientists (graduate students and postdocs) to attend the meeting. The workshop is limited to 40 attendees.

The themes in this third year of the workshop are:
  1. Experimental design of a metabolomics experiment
  2. Sample stability and extraction methods
  3. Analytical systems (nuclear magnetic resonance and gas and liquid chromatography-mass spectrometry)
    • Targeted metabolomics
    • Untargeted metabolomics
    • Quantitative metabolomics
  4. Pre-processing of analytical data
  5. Statistical analysis of the data
  6. Metabolite databases – integration with MSMS data
  7. Identification of metabolites
  8. Metabolite pathway analysis
  9. Advances in metabolomics
For further details, visit

15-16 Jun 2015

Informatics and Statistics for Metabolomics (2015)
Location: Downtown Montreal, Quebec, Canada

Course Objectives
A poster announcing this workshop can be found here. The workshop will cover many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomic databases and exploring chemical databases. Participants will be given various data sets and short assignments to assist with the learning process.

Target Audience
This course is intended for graduate students, post-doctoral fellows, clinical fellows and investigators who are interested in learning about both bioinformatic and cheminformatic tools to analyze and interpret metabolomics data.

Prerequisite: Familiarity with R is required. Familiarity can be gained through online activities. You should be familiar with these R concepts (chapters 1-5) or review the past Statistics tutorials provided by CBW.

Apply Now
Award Opportunities

For further details, visit

15-18 Jun 2015

Metabolomics Summer Workshop
Venue: Kellogg Eye Center (Kellogg Auditorium), 1000 Wall Street, Ann Arbor, MI, USA

The Michigan Regional Comprehensive Metabolomics Resource Core (MRC)2 is presenting a four-day Metabolomics Summer Workshop, June 15-18, 2015.   

This workshop is intended for investigators seeking a solid foundation to expand their research using metabolomics.

Sessions include:
  • Study design
  • Sample collection
  • Analytical methods
  • Data processing, statistical analysis, and metabolite identification
  • Exploratory analysis with bioinformatics tools
  • Case study applications
  • Hands-on training with pathway and heatmap tools    
Click here for last year's schedule (PDF).

For further details, visit

16-19 Jun 2015

Metabolic Phenotyping in Disease Diagnosis & Personalised Health Care
Location: London, UK
Venue: Imperial College London

This 4-day metabolic phenotyping short course is designed to provide a fundamental education platform to students, junior researchers and clinicians in the field of metabolic profiling. The course will begin with an introduction to metabolic phenotyping by a leading expert (Prof. Jeremy K Nicholson) in the field, and will explain the basic analytical techniques commonly used in this area including nuclear magnetic resonance spectroscopy and mass spectrometry. Key steps involved in metabolic profiling will be discussed in the following sessions including study design, quality control strategies, data analysis and interpretation, and metabolite identification. Laboratory tour and hands-on data analysis will be included to promote the learning effectiveness and experience. The course will be finished with tips, tricks and traps in metabolic profiling and up-to-date applications of metabolic phenotyping in various research areas, for example, clinical application, cancer, metabolic diseases and infectious diseases.

For further details, visit

29 Jun to 2 Jul 2015

Metabolomics 2015: 11th Annual Conference of the International Metabolomics Society
The Official Annual Meeting of the International Metabolomics Society
Location: San Francisco, USA
Venue: Hyatt Regency, Burlingame, USA

You are invited to join us for Metabolomics 2015, the official annual meeting of the Metabolomics Society.

This stunning world-class venue will host the most exciting metabolomics conference of 2015. Your host institution, the University of California, Davis, will gladly welcome scientists from all around the world to feel at home and relax while hearing of the latest innovations and breakthroughs in metabolomics.

Stay abreast of the latest Metabolomics Society news via the Twitter feed on the front page of the website ( Also you can follow us on Twitter: Metabolomics Society @MetabolomicsSoc and Metabolomics journal @Metabolomics. And you can visit us on Facebook.

For further details, visit

26-28 Aug 2015

Bio&Data “Mountain Village Science Series” (MOVISS 2015)
Venue: Karlova Studanka, Czech Republic

Bio&Data is the first workshop of newly established “Mountain Village Science Series” (MOVISS). It will take place on August 26-28, 2015 in the small village of Karlova Studanka in the Czech Republic. Bio&Data is problem-driven meeting, full of discussions and posing questions about how to deal with chemometrical data properly. There will be four sessions (data generation, data curation, computation/analysis, and interpretation) devoted to the whole process of the extraction and processing of data in the biosciences. Each section will consist of one (or at most two) keynote contributions, followed by discussion, brief and contributions from selected participants and panel discussion.

For further details, visit

21-25 Sep 2015

W4M Course 2015: Computational Metabolomics within the Galaxy Environment on the Online (W4M) Resource
Venue: ABiMS Bioinformatics Institute, Roscoff, France

The Worflow4Metabolomics Course 2015 (W4M 2015) will take place at the ABiMS bioinformatics Institute (Roscoff, France) on September 21-25, 2015. This one-week training session is intended for MS and NMR researchers wishing to learn the functionalities from the W4M resource. It will include an initiation to the Galaxy environment, followed by dedicated practical sessions covering the available modules for data preprocessing, statistical analysis, and annotation. Finally, a tutoring part will enable each participant to analyse his or her own dataset. Presentations will be given in French but course materials will be in English.

Program Schedule:
Practical Information:

Organizing Committee
Cécile Canlet, Christophe Caron, Franck Giacomoni, Yann Guitton, Gildas Le Corguillé, and Étienne Thévenot.

For further details, visit

7-9 Dec 2015

MetaboMeeting 2015
Venue: Robinson College, Cambridge, UK

SELECTBIO are delighted to announce that we are once again partnering with the Metabolic Profiling Forum (MPF) to host the Metabomeeting 2015. The MPF will focus on the conference program while SELECTBIO will take care of logistics, promotion and exhibition/sponsorship activities. We are expecting up to 270 attendees offering a unique opportunity to network with key researchers who are making innovative discoveries within this field.   We are also delighted to announce that this year the registration price includes a wonderful dinner reception which will be held on Tuesday 8th December in the Magnificent Kings College Dining Hall.

Agenda Topics
  • Advancing Biological Knowledge from Single Cells to Whole Organisms
  • Applying Metabolomics to Nutritional Support and Food Analysis
  • Clinical Development in Metabolomics
  • Enhancing Analytical Approaches in Metabolomics
  • Modelling and Data Analysis
  • New Developments in Plant Metabolomics
  • Next Generation Metabolomics - Where will the Revolution will Happen Next
  • Structure and Reporting of Metabolomics: Data to Knowledge
For further details, visit

Please note: If you know of any metabolomics lectures, meetings, workshops, or training sessions that we should feature in future issues of this newsletter, please email Ian Forsythe (
Metabolomics Jobs

Metabolomics Jobs

This is a resource for advertising positions in metabolomics. If you have a job you would like posted in this newsletter, please email Ian Forsythe ( Job postings will be carried for a maximum of four issues (eight weeks) unless the position is filled prior to that date.

Jobs Offered

Job Title Employer Location Posted Closes Source
Chair in Chemistry (Data Science)
Loughborough University East Midlands, UK 20-May-2015
Loughborough University
Postdoctoral Position, Metabolic Studies of Cancer Models
University of California, San Francisco San Francisco, California, USA 5-May-2015
Until filled
Metabolomics Society Jobs
Postdoc, Northwest Metabolomics Research Center
University of Washington Seattle, Washington, USA 17-Apr-2015
31-May-2015 or until filled
Metabolomics Society Jobs
Postdoc, Mitochondria and Metabolism Center University of Washington Seattle, Washington, USA 17-Apr-2015
31-May-2015 or until filled Metabolomics Society Jobs
Bioinformatician (Metabolomics)
Leibniz Institute of Plant Biochemistry Halle, Germany 8-Apr-2015
Open until filled
Leibniz Institute of Plant Biochemistry
Research Assistant I, Metabolomics Core Facility
Sanford-Burnham Medical
Research Institute
Orlando, Florida, USA 3-Mar-2015
Open until filled
Metabolomics Society Jobs
Postdoctoral Research Fellow, Fernandez Laboratory, School of Chemistry and Biochemistry
Georgia Institute of Technology
Atlanta, Georgia, USA 19-Feb-2015
Open until filled Georgia Institute of Technology
Computational Metabolomics Professor
Pennsylvania State University
State College,
Pennsylvania, USA

Metabolomics Society Jobs

Jobs Wanted

This section is intended for very highly qualified individuals (e.g., lab managers, professors, directors, executives with extensive experience) who are seeking employment in metabolomics. We encourage these individuals to submit their position requests to Ian Forsythe ( Upon review, a limited number of job submissions will be selected for publication in the Jobs Wanted section.
  • There are currently no positions being advertised.

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