Literature DB >> 28842838

MOSAIC: a web-interface for statistical analyses in ecotoxicology.

Sandrine Charles1, Philippe Veber2, Marie Laure Delignette-Muller2,3.   

Abstract

In ecotoxicology, bioassays are standardly conducted in order to measure acute or chronic effects of potentially toxic substances on reproduction, growth, and/or survival of living animals. MOSAIC, standing for MOdeling and StAtistical tools for ecotoxICology, is a user-friendly web interface dedicated to the mathematical and statistical modelling of such standard bioassay data. Its simple use makes MOSAIC a turnkey decision-making tool for ecotoxicologists and regulators. Without wasting time on extensive mathematical and statistical technicalities, users are provided with advanced and innovative methods for a valuable quantitative environmental risk assessment. MOSAIC is available at http://pbil.univ-lyon1.fr/software/mosaic/ .

Entities:  

Keywords:  R software; Reprotoxicity statistical analysis; SSD analysis; Standard bioassay data; Survival statistical analysis

Mesh：

Year:  2017        PMID： 28842838     DOI： 10.1007/s11356-017-9809-4

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN： 0944-1344            Impact factor:   4.223


  7 in total

1.  Survival data analyses in ecotoxicology: critical effect concentrations, methods and models. What should we use?

Authors:  Carole Forfait-Dubuc; Sandrine Charles; Elise Billoir; Marie Laure Delignette-Muller
Journal:  Ecotoxicology       Date:  2012-05       Impact factor: 2.823

2.  Confidence limits for hazardous concentrations based on logistically distributed NOEC toxicity data.

Authors:  T Aldenberg; W Slob
Journal:  Ecotoxicol Environ Saf       Date:  1993-02       Impact factor: 6.291

3.  The drive to ban the NOEC/LOEC in favor of ECx is misguided and misinformed.

Authors:  John W Green; Timothy A Springer; Jane P Staveley
Journal:  Integr Environ Assess Manag       Date:  2013-01       Impact factor: 2.992

4.  Statistical handling of reproduction data for exposure-response modeling.

Authors:  Marie Laure Delignette-Muller; Christelle Lopes; Philippe Veber; Sandrine Charles
Journal:  Environ Sci Technol       Date:  2014-06-10       Impact factor: 9.028

5.  MOSAIC_SSD: a new web tool for species sensitivity distribution to include censored data by maximum likelihood.

Authors:  Guillaume Kon Kam King; Philippe Veber; Sandrine Charles; Marie Laure Delignette-Muller
Journal:  Environ Toxicol Chem       Date:  2014-08-04       Impact factor: 3.742

6.  Optimizing the design of a reproduction toxicity test with the pond snail Lymnaea stagnalis.

Authors:  Sandrine Charles; Virginie Ducrot; Didier Azam; Rachel Benstead; Denise Brettschneider; Karel De Schamphelaere; Sandra Filipe Goncalves; John W Green; Henrik Holbech; Thomas H Hutchinson; Daniel Faber; Filipe Laranjeiro; Peter Matthiessen; Leif Norrgren; Jörg Oehlmann; Evelyn Reategui-Zirena; Anne Seeland-Fremer; Matthias Teigeler; Jean-Pierre Thome; Marysia Tobor Kaplon; Lennart Weltje; Laurent Lagadic
Journal:  Regul Toxicol Pharmacol       Date:  2016-07-25       Impact factor: 3.271

7.  Development and validation of an OECD reproductive toxicity test guideline with the pond snail Lymnaea stagnalis (Mollusca, Gastropoda).

Authors:  Virginie Ducrot; Clare Askem; Didier Azam; Denise Brettschneider; Rebecca Brown; Sandrine Charles; Maïra Coke; Marc Collinet; Marie-Laure Delignette-Muller; Carole Forfait-Dubuc; Henrik Holbech; Thomas Hutchinson; Arne Jach; Karin L Kinnberg; Cédric Lacoste; Gareth Le Page; Peter Matthiessen; Jörg Oehlmann; Lynsey Rice; Edward Roberts; Katharina Ruppert; Jessica Elphinstone Davis; Clemence Veauvy; Lennart Weltje; Ruth Wortham; Laurent Lagadic
Journal:  Regul Toxicol Pharmacol       Date:  2014-09-16       Impact factor: 3.271
  7 in total
  2 in total

1.  Chemoinformatics and structural bioinformatics in OCaml.

Authors:  Francois Berenger; Kam Y J Zhang; Yoshihiro Yamanishi
Journal:  J Cheminform       Date:  2019-02-05       Impact factor: 5.514

2.  How to account for the uncertainty from standard toxicity tests in species sensitivity distributions: An example in non-target plants.

Authors:  Sandrine Charles; Dan Wu; Virginie Ducrot
Journal:  PLoS One       Date:  2021-01-07       Impact factor: 3.240
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.