EVENT : C3BI Seminars
Main speaker : Amine Ghozlane, from HUB, C3BI, Institut Pasteur Date : 28-02-2019 at 02:00 pm Location : Auditorium Francois Jacob – BIME (26) ,Institut Pasteur, Paris
Human gut resistome
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EVENT : C3BI Publication
Main speaker : , from Date : 23/09/2017 at Location : ,Institut Pasteur, Paris
BACKGROUND:
The scale-up of effective malaria control in the last decade has resulted in a substantial decline in the incidence of clinical malaria in many countries. The effects on the proportions of asymptomatic and submicroscopic infections, and on transmission potential are yet poorly understood.
METHODS:
In Papua New Guinea, vector control has been intensified since 2008, and improved diagnosis and treatment introduced in 2012. Cross-sectional surveys were conducted in Madang Province in 2006 (n=1280), 2010 (n=2117) and 2014 (n=2516). Infections were quantified by highly sensitive qPCR and gametocytes by RT-qPCR.
RESULTS:
P. falciparum prevalence by qPCR decreased from 42% in 2006 to 9% in 2014. P. vivax prevalence decreased from 42% in 2006 to 13% in 2010, but then increased to 20% in 2014. Parasite densities decreased 5-fold from 2006 to 2010; 72% of P. falciparum and 87% of P. vivax infections were submicroscopic in 2014. Gametocyte density and positivity correlated closely with parasitemia, and population gametocyte prevalence decreased 3-fold for P. falciparum and 29% for P. vivax from 2010 to 2014.
CONCLUSIONS:
Sustained control has resulted in reduced transmission potential but an increasing proportion of gametocyte carriers are asymptomatic and submicroscopic and represent a challenge to malaria control.
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EVENT : C3BI Seminars – Large audience
Speaker : Pierre Neuvial, CNRS researcher from Laboratoire de Mathématiques et Modélisation d’Evry (LaMME) – Équipe Statistique & Génome – Université d’Evry Val d’Essonne Time : 02:00 pm Starting Date : 03/12/2015
Location : Retrovirus room – LWOFF (22) ,Institut Pasteur, Paris
A number of bioinformatic or biostatistical methods are available for segmenting DNA copy number profiles measured from microarray or sequencing technologies. In the absence of rich enough gold standard data sets, the performance of these methods is generally assessed using unrealistic simulation studies, or based on small real data analyses.
In order to make an objective and reproducible performance assessment, we have designed and implemented a resampling-based framework to generate realistic DNA copy number profiles of cancer samples with known truth. In this talk, I will describe this framework and its application to a comparison study between methods for segmenting DNA copy number profiles from SNP microarrays.
This study indicates that no single method is uniformly better than all others. It also helps identifying pros and cons of the compared methods as a function of biologically informative parameters, such as the fraction of tumor cells in the sample and the proportion of heterozygous markers.
Reference: M. Pierre-Jean, G. Rigaill and P. Neuvial Performance evaluation of DNA copy number segmentation methods. Briefings in Bioinformatics (2015) http://bib.oxfordjournals.org/content/16/4/600
Due to security policy in Institut Pasteur, please register before if you plan to come to this meeting
Support engineer for Galaxy at the CIB in the Institut Pasteur
The CIB (Informatics cell for Biology) is a major component of the new Institut Pasteur Center of Bioinformatics, Biostatistics and Integrative Biology. Its role is to fulfill the scientific computational needs of the campus with software implementation, bioinformatics software providing and/or their deployment. Its group “Web Integration and Software Development group” is hiring an (Bio-)informatics engineer for a 6 month contract (from November 1st to May 15th 2015) In collaboration with the rest of Institut Pasteur’s Galaxy Team, he will insure:Date : 09/03/2015 at 02:00 pm Location : Retrovirus room – LWOFF (22) Speakers/Trainers : Jean-Baptiste Masson, Visiting Scientist from Janelia Farm Research Campus, Ashburn, VA, USA For any questions, suggestions (or to volunteer) for future talks/trainings or general feedback please contact us at c3bi-ask@pasteur.fr
The development during the last 20 years of single biomolecule tagging allows unprecedented access to single biomolecule dynamics. Trajectories are now space filling in 2D and densities in 3D are rapidly rising. Thus, large amount of random walks are now accessible. These random walks bear information on both the biomolecule dynamics and on the environment properties. One of the key questions is how to exploit these random walks to gain quantitative information on the biological processes taking place and the nature of these random walks. Growing number of data being accessible multiple statistical hypothesis can be tested. Bayesian Inference [1] is a natural tool to handle multiple environment models, large amounts of data and multiple statistical hypothesis. We will discuss the use of Bayesian Inference to analyse single biomolecule trajectories[2–4], show various local models to describe biomolecule dynamics, methods to analyse multi-scale dynamics and describe transitions to anomalous dynamics [3]. We will also comment on out-of-equilibrium dynamics and stochastic integrals dilemma. Furthermore, numerous estimators lack robustness regarding linking mistakes of the tracking algorithm. We will show how to remove tracking by efficiently sampling the biomolecules assignment graph between images. We will comment the various methods to perform these sampling and discuss the inference of multi-scale fields. We will show time evolving maps at the full cell scale using high density tagging. We will discuss toxins receptor interactions with lipid platforms and Glycine Receptors dynamics at the full cell scale in both neurons and transfected Hela Cells. Finally, we will quickly introduce InferenceMAP a user-friendly software to analyse random walks trajectories. [1] U. Von Toussaint. 2011. Bayesian inference in physics. Review of Modern Physics 83:943-999. [2] El Beheiry, M., Dahan, M. and J.-B. Masson. 2015. InferenceMAP: Mapping of Single-Molecule Dynamics with Bayesian Inference. Nature Methods (In Press). [3] Masson, J.-B, Dionne, P., Salvatico, C., Renner, M., Specht, C. G. , Triller, A. and M. Dahan. 2014. Mapping the Energy and Diffusion Landscapes of Membrane Proteins at the Cell Surface Using High-Density Single-Molecule Imaging and Bayesian Inference: Application to the Multiscale Dynamics of Glycine Receptors in the Neuronal Membrane. Biophysical Journal 106 (1), 74–83 . [4] Masson,J.-B., Casanova, D. , Tu ̈rkcan, S., Voisinne, G., Popoff, M. R., Vergassola, M. and A. Alexandrou. 2009. Inferring Maps of Forces Inside Cell Membrane Microdomains. Physical Review Letters 102 (4), 048103.
C3BI
Date : 08/27/2015 at 02:00 pm Location : Retrovirus room – LWOFF (22) Speakers : Enguerrand Habran, Co-founder & President of What Health Association For any questions, suggestions (or to volunteer) for future talks/trainings or general feedback please contact us at c3bi-ask@pasteur.fr
What Health is an independent association whose mission is to make emerge and support innovation in healthcare, in particular thanks to the potential of the new technologies. Our process is conceived to take innovation at source and bring the right environment for its growing, to allow its establishment in healthcare system. What Health fosters exchanges and the collaborative working between several universe to help them become players in innovation in healthcare system. What Health approach is diverse: • « Bottom-up », the innovation is coming from the ground and borne either by healthcare practitioners or by patients. • Collaborative, each player of our community that is willing to contribute to improving healthcare system can provide his know-how and expertise. • Global, What Health supports innovation from its emergence to implantation in the healthcare system. • Supported, What Health is partner of major players in the healthcare system. • Ethical, What Health supports all projects that can improve health. The What Health process consists of several actions: • The “Cafés”, a meeting and debate place • The Innovation challenge, collaborative events that allow to prototype a solution and validate the proof of its concept; • The Hub, support structure dedicated to the development and establishment of projects. As a facilitator, What Health makes no claim to intellectual property emerging from events and other activities. That applies also for any actor and partner of What Health. Therefore, the ownership of a project belongs to the team that supports it. Website : http://what-health.org
C3BI
Every Tuesday from 10AM to 12PM in 26-06-06A room.
Despite summer vacation, we will welcome you for the Open Desk today from 10 AM till 12AM in room 26-06-06A ! We have coffee, air conditioning and great people to answer your bioinformatics/biostatistics questions!
C3BI Teams
Every Tuesday from 10AM to 12PM in 26-06-06A room.
Despite the hot weather and summer vacation, we will welcome you for the Open Desk today from 10 AM till 12AM in room 26-06-06A ! We have coffee, air conditioning and great people to answer your bioinformatics/biostatistics questions!
C3BI Teams
Date : 19-30th October 2015 Location : Ribeirão Preto, Brazil Speakers/Trainers : Institut Pasteur International Network (RIIP) and the University of Sao Paulo.
The aim of this course is to provide students with theory and practical tools to analyze Next Generation Sequencing (NGS) data. The course is composed of a theory and practice lessons . In the first week theory sessions will cover the main kind of HTS analyses (re-sequencing and variant analysis, de-novo sequencing, transcriptomics, ChIP-Seq, metagenomics), in addition to some general bioinformatics tools and Biostatistics. The second week is dedicated to practice, in which the students work with their own data in small groups with a mentor that guides them. The practice week is designed so the course is of immediate use to each student. We expect the students to go back to their countries with the necessary knowledge to continue working on their own data. Lastly, this course will also promote interactions through bioinformatics between Fiocruz, the Institut Pasteur International Network (RIIP) and the University of Sao Paulo. The course will take place from the 19-30th October in Ribeirão Preto, Brazil. For more information and to apply visit: http://bioinformatics.fmrp.usp.br/curso2015/
Sponsors: 
C3BI
Every Tuesday from 10AM to 12PM in 26-06-06A room.
Despite the hot weather and summer vacation, we will welcome you for the Open Desk today from 10 AM till 12AM in room 26-06-06A ! We have coffee, air conditioning and great people to answer your bioinformatics/biostatistics questions!
C3BI Teams
