Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Melanie Christine Föll"'
Autor:
Saskia Hiltemann, Helena Rasche, Simon Gladman, Hans-Rudolf Hotz, Delphine Larivière, Daniel Blankenberg, Pratik D Jagtap, Thomas Wollmann, Anthony Bretaudeau, Nadia Goué, Timothy J Griffin, Coline Royaux, Yvan Le Bras, Subina Mehta, Anna Syme, Frederik Coppens, Bert Droesbeke, Nicola Soranzo, Wendi Bacon, Fotis Psomopoulos, Cristóbal Gallardo-Alba, John Davis, Melanie Christine Föll, Matthias Fahrner, Maria A Doyle, Beatriz Serrano-Solano, Anne Claire Fouilloux, Peter van Heusden, Wolfgang Maier, Dave Clements, Florian Heyl, Galaxy Training Network, Björn Grüning, Bérénice Batut
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 1, p e1010752 (2023)
There is an ongoing explosion of scientific datasets being generated, brought on by recent technological advances in many areas of the natural sciences. As a result, the life sciences have become increasingly computational in nature, and bioinformati
Externí odkaz:
https://doaj.org/article/418bd96910b049ef9a470281072747d4
Autor:
Chengxin Dai, Anja Füllgrabe, Julianus Pfeuffer, Elizaveta M. Solovyeva, Jingwen Deng, Pablo Moreno, Selvakumar Kamatchinathan, Deepti Jaiswal Kundu, Nancy George, Silvie Fexova, Björn Grüning, Melanie Christine Föll, Johannes Griss, Marc Vaudel, Enrique Audain, Marie Locard-Paulet, Michael Turewicz, Martin Eisenacher, Julian Uszkoreit, Tim Van Den Bossche, Veit Schwämmle, Henry Webel, Stefan Schulze, David Bouyssié, Savita Jayaram, Vinay Kumar Duggineni, Patroklos Samaras, Mathias Wilhelm, Meena Choi, Mingxun Wang, Oliver Kohlbacher, Alvis Brazma, Irene Papatheodorou, Nuno Bandeira, Eric W. Deutsch, Juan Antonio Vizcaíno, Mingze Bai, Timo Sachsenberg, Lev I. Levitsky, Yasset Perez-Riverol
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
The number of publicly available proteomics datasets is growing rapidly, but a standardized approach for describing the associated metadata is lacking. Here, the authors propose a format and a software pipeline to present and validate metadata, and i
Externí odkaz:
https://doaj.org/article/33519ff7742042fb963af4bf5ef059fa
Autor:
Melanie Christine Föll, Matthias Fahrner, Victor Oginga Oria, Markus Kühs, Martin Lothar Biniossek, Martin Werner, Peter Bronsert, Oliver Schilling
Publikováno v:
Clinical Proteomics, Vol 15, Iss 1, Pp 1-15 (2018)
Abstract Background Proteomic analyses of clinical specimens often rely on human tissues preserved through formalin-fixation and paraffin embedding (FFPE). Minimal sample consumption is the key to preserve the integrity of pathological archives but a
Externí odkaz:
https://doaj.org/article/e673d58ff4b7477cba97ad7ebfd552f3
Publikováno v:
bioRxiv
Cardinal v3 is an open source software for reproducible analysis of mass spectrometry imaging experiments. A major update from its previous versions, Cardinal v3 supports most mass spectrometry imaging workflows. Its analytical capabilities include a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b70de4ec99f4f2a8fd16640e009f6b50
https://europepmc.org/articles/PMC9980127/
https://europepmc.org/articles/PMC9980127/
Autor:
Lennart Moritz, Maren Nicole Stillger, Ferenc Takács, Hannah Füllgraf, Martin Werner, Stefan Fichtner-Feigl, Andreas Jud, Oliver Schilling, Melanie Christine Föll
About 50% of colorectal cancer patients develop liver metastases. Patients with metastatic colorectal cancer have 5-year survival rates below 20% despite new therapeutic regimens. Tumor heterogeneity has been linked with poor treatment response and c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::964a1e634527871b9986eb4515404efc
Publikováno v:
Bioinformatics. 39
MotivationMass Spectrometry Imaging (MSI) analyzes complex biological samples such as tissues. It simultaneously characterizes the ions present in the tissue in the form of mass spectra, and the spatial distribution of the ions across the tissue in t
Autor:
Melanie Christine Föll, Veronika Volkmann, Kathrin Enderle-Ammour, Sylvia Timme, Konrad Wilhelm, Dan Guo, Olga Vitek, Peter Bronsert, Oliver Schilling
Publikováno v:
Clinical Proteomics. 19
Background Mass spectrometry imaging (MSI) derives spatial molecular distribution maps directly from clinical tissue specimens and thus bears great potential for assisting pathologists with diagnostic decisions or personalized treatments. Unfortunate
Autor:
Niko Pinter, Damian Glätzer, Matthias Fahrner, Klemens Fröhlich, James Johnson, Björn Andreas Grüning, Bettina Warscheid, Friedel Drepper, Oliver Schilling, Melanie Christine Föll
Quantitative mass spectrometry-based proteomics has become a high-throughput technology for the identification and quantification of thousands of proteins in complex biological samples. Two de facto standard tools, MaxQuant and MSstats, allow for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fc9c57cec2bfbda31558fb482c14f43
https://doi.org/10.1101/2022.01.20.477129
https://doi.org/10.1101/2022.01.20.477129
Autor:
Hannes Röst, Oliver Schilling, Matthias Fahrner, Melanie Christine Föll, Matthias Bernt, Björn Grüning
Publikováno v:
GigaScience. 11
Background Data-independent acquisition (DIA) has become an important approach in global, mass spectrometric proteomic studies because it provides in-depth insights into the molecular variety of biological systems. However, DIA data analysis remains
Autor:
Jingwen Deng, Anja Füllgrabe, Tim Van Den Bossche, Vinay Kumar Duggineni, Patroklos Samaras, Oliver Kohlbacher, Chengxin Dai, Lev I. Levitsky, Björn Grüning, Enrique Audain, Mingze Bai, Marie Locard-Paulet, Nancy George, Julian Uszkoreit, Meena Choi, Irene Papatheodorou, Mingxun Wang, Henry Webel, Michael Turewicz, Johannes Griss, Stefan Schulze, Yasset Perez-Riverol, Eric W. Deutsch, Deepti J. Kundu, Timo Sachsenberg, Veit Schwämmle, Marc Vaudel, Selvakumar Kamatchinathan, Martin Eisenacher, Silvie Fexova, Alvis Brazma, Savita Jayaram, David Bouyssié, Nuno Bandeira, Mathias Wilhelm, Julianus Pfeuffer, Melanie Christine Föll, Elizaveta M. Solovyeva, Juan Antonio Vizcaíno, Pablo Moreno
The amount of public proteomics data is increasing at an extraordinary rate. Hundreds of datasets are submitted each month to ProteomeXchange repositories, representing many types of proteomics studies, focusing on different aspects such as quantitat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9346113d61618a1af97a89012094d24f
https://doi.org/10.1101/2021.05.21.445143
https://doi.org/10.1101/2021.05.21.445143