New tutorial from Multid about how to activate GenEx license.
MULTID ANALYSES AB
Medicinska och diagnostiska laboratorier
making advanced data analysis available to non-professionals
Om oss
MULTID ANALYSES offers GenEx™, the most popular software to analyze qPCR data.
- Webbplats
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https://www.multid.se
Extern länk för MULTID ANALYSES AB
- Bransch
- Medicinska och diagnostiska laboratorier
- Företagsstorlek
- 2–10 anställda
- Huvudkontor
- Gothenburg
- Typ
- Privatägt företag
- Grundat
- 2001
Adresser
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Få vägbeskrivning
Gothenburg, SE
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Få vägbeskrivning
Livermore, CA 94550, US
Anställda på MULTID ANALYSES AB
Uppdateringar
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We support the comminity with single cell and spatial transcriptomics data analysis: https://lnkd.in/dTWP_g6b
The special issue of Modern Methods of Molecular Diagnostics (https://lnkd.in/dXuds4VF) I had the pleasure to guest edit in Molecular Aspects of Medicine with Anders Ståhlberg and Daniel Andersson is out! Enjoy the excellent reviews: A practical guide to spatial transcriptomics Lukáš Valihrach Daniel Žucha Pavel Abaffy Mikael Kubista Improving the quality of quantitative polymerase chain reaction experiments: 15 years of MIQE Stephen Bustin Current and emerging sequencing-based tools for precision cancer medicine Anders Edsjö David Gisselsson Nord Johan Staaf Louise Holmquist Thoas Fioretos Lucia Cavelier Richard Rosenquist Brandell Principles of digital sequencing using unique molecular identifiers Daniel Andersson Firaol Tamiru Kebede Mandy Escobar Tobias Österlund Anders Ståhlberg Single-cell and spatial transcriptomics: Bridging current technologies with long-read sequencing Chengwei Ulrica Yuan Xiang Fu Martin Hemberg Digital PCR for the characterization of reference materials Megan Cleveland Hua-Jun He Majca Milavec Young-Kyung Bae Peter Vallone Jim Huggett Circulating tumor cells as liquid biopsy markers in cancer patients Dr. Dr. Daniel J. Smit Klaus Pantel DNA melting analysis Carl Wittwer Andy Hemmert Jana Kent Nick Rejali A pipeline for the development and analysis of extracellular vesicle-based transcriptomic biomarkers in molecular diagnostics Christian G. Martina Schuster Dr. Florian Brandes Agnes Meidert Benedikt Kirchner PD Dr. Marlene Reithmair Gustav Schelling Michael W. Pfaffl Ensuring accuracy in the development and application of nucleic acid amplification tests (NAATs) for infectious disease Jim Huggett Denise O'Sullivan Simon Cowen Megan Cleveland Kerrie Davies Kathryn Harris Jacob Moran-Gilad Amanda Winter, Julian Braybrook, Mike Messenger
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Check out this single cell profiling webinar by Rahul Satija, author of Seurat! For support on single cell and spatial transcriptomics data analysis feel free to reach out: https://lnkd.in/dTWP_g6b. https://lnkd.in/dKts9hEH Nygen Analytics Illumina 10x Genomics Fluent BioSciences Inc. Parse Biosciences Scale Biosciences Takara Bio Europe Lexogen The Single Cell World Singleron Biotechnologies QIAGEN Roche Bio-Rad Laboratories Thermo Fisher Scientific AstraZeneca RealSeq Biosciences S2 Genomics Techtum Lab Novo Nordisk Pfizer Novartis Gene Therapies Bayer Boehringer Ingelheim Merck Life Science Becton Dickenson Bristol Myers Squibb Orion Pharma Johnson & Johnson Genentech MedImmune Sanofi #singlecell #profiling #ngs #sequencing #bioinformatics #dataanalysis
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Congratulations Mercedes Nadal-Serrano, Jorge Sastre-Serra and team publishing in Breast Cancer Research using GenEx for transcriptomic analysis. https://lnkd.in/dwBnq9DY
Unraveling malignant phenotype of peritumoral tissue: transcriptomic insights into early-stage breast cancer - Breast Cancer Research
link.springer.com
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MULTID ANALYSES AB omdelade detta
"The Power of qPCR in Advancing Cell & Gene Therapy Research" eBook including interview with professor Kubista is available! https://lnkd.in/dYW9innx
The Power of qPCR in Advancing Cell & Gene Therapy Research - Wiley Science Content Hub
https://content.knowledgehub.wiley.com
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"The Power of qPCR in Advancing Cell & Gene Therapy Research" eBook including interview with professor Kubista is available! https://lnkd.in/dYW9innx
The Power of qPCR in Advancing Cell & Gene Therapy Research - Wiley Science Content Hub
https://content.knowledgehub.wiley.com
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Join the #qPCR experts on May 15 at GoCo! Thermo Fisher Scientific MULTID ANALYSES AB AstraZeneca CCRM Nordic Pretzel Therapeutics Fujirebio Diagnostics AB Ribocure Pharmaceuticals AB Mölnlycke Health Care Takara Bio Europe BioVentureHub Techtum Lab Simsen Diagnostics Nygen Analytics BICO Life Genomics CELLINK Life Science at RISE Sahlgrenska Science Park Sahlgrenska University Hospital Sahlgrenska Academy at University of Gothenburg Göteborg University Chalmers University of Technology Institute of Biotechnology Karolinska Institutet GU Ventures GoCo Health Innovation City
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Congratulation to Ditte Olsen Lützhøft and her colleagues at University of Copenhagen for their publication in Plos. They used GenEx software for data pre-processing and statistical analyses. High fat diet is associated with gut microbiota dysbiosis and decreased gut microbial derived metabolites related to metabolic health in young Göttingen Minipigs
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Congratulations to Yenehiwot Berhanu Weldearegay at colleagues at the University of Veterinary Medicine Hannover for publishing their study on Transcriptional Host Responses to Infection with Streptococcus suis in Pathogens using GenEx for Interplate calibration to improve data quality. https://lnkd.in/dAazxwzv #qpcr #pathogens #infections #moleculardiagnostics
Transcriptional Host Responses to Infection with Streptococcus suis in a Porcine Precision-Cut Lung Slice Model: Between-Strain Differences Suggest Association with Virulence Potential
mdpi.com
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Congratulations to Maria Carmen Leiva and colleagues at Gothenburg University for their publication on patient derived scaffolds representing breast cancer microenvironment in the Journal of Translational Medicine using GenEx for pre-processing and normalization of the data. https://lnkd.in/dN2sNBP4 #qpcr #normalization #bioanalytical #breastcancer #cancer #scaffold
Patient-derived scaffolds representing breast cancer microenvironments influence chemotherapy responses in adapted cancer cells consistent with clinical features - Journal of Translational Medicine
translational-medicine.biomedcentral.com