Clover MS data Analysis software
Each feature included is the result of close interaction with experts to provide the most efficient and convenient workflow to answer bacterial analysis questions
Strain typing, resistance identification and susceptibility testing research tools using MALDI-MS data. Access everywhere and share data with your team
AI-powered algorithms, biomarker discovery, Machine Learning algorithms and your DA tools for MS data
Share your analysis with your colleagues or perform joint research together
CLOVER Bioanalytical Software is a bioinformatics company specialized in data processing for Bioanalytical Chemistry and Microbial ID and other clinical diagnostics applications using mass spectrometry. Formed by a group of Ph.D. graduates with a wide expertise in business and research, it brings a perfect match to develop cutting-edge software and statistical analysis projects in the biomedical field.
We are specialized in mass spectrometry, its clinical applications and mass spectrometry imaging. But our expertise covers many more applications, like medical image processing, univariate and multivariate statistical analysis, and Big Data.
We are truly customer-oriented, keeping in mind the goals of our clients and the scalability of the systems. We count with experts in biomedicine, chemistry and biotechnology that speak your own language and understands your needs.
Specialist in Mass Spectrometry and Mass Spectrometry imaging
Our customer's purposes are also our own
We are Agile, Test-passionate and obsessed with clean, maintainable code
Strong world-wide partnerships, and willing to create much more
LUIS MANCERA, Ph.D.
Ismael Duque, Ph.D.
Jesús Jiménez, Ph.D.
Manuel J. Arroyo
Emmanuel Wey, M.D.
Gerald Stubiger, Ph.D.
Customers & Partners
Awards and recognitions
Best poster award in the 'Korean Academy of Marketing Science' Conference, August 2016
Granted with the 'ACTTiVAte' project given by Parque Tecnológico de la Salud of Granada, February 2017
First finalists of the 'AJE Granada' 2018 award in the category of entrepreneurial initiative, March 2018
Selected for the Minerva mentoring program, August 2018
Selected for the 2017 Torres Quevedo R&D state program, November 2018
Member of the winning team of the Oncothon event in the topic of cancer interception, November 2018
Awarded Seal of Excellence by the European Comission
Granted SME Instrument H2020 Phase 1 project by the European Comission, March 2019
Author: Manuel Jesús Arroyo Pulgar Health care-associated infections (HAIs) occur when receiving health care for another condition . These infections can happen in any health-care facility and can be caused by any pathogen. A bigger problem in these HAIs is when the pathogen that caused the infection has an antibiotic resistance, something we talked about Read more about The ESKAPE bacteria group and its clinical importance[…]
Author: Manuel Jesús Arroyo Pulgar Centers for Disease Control and Prevention (CDC) just released the 2019 Antibiotic Resistance Threats Report in the United States. It includes statistics about infection due to resistant microorganisms in the U.S., an updated threats list about new antibiotic resistances and a lot of interesting complementary information about this worldwide problem, Read more about Alarming news in CDC’s 2019 Antibiotic Resistance Threats Report[…]
Authors: Manuel Jesús Arroyo Pulgar, Verónica Sánchez Mercado Listeriosis is an infection caused by a pathogenic bacterium called Listeria monocytogenes. Is one of the most virulent foodborne pathogens and in hight-risk individuals like pregnant women, older adults and people whose immune systems are compromised. In these population, the infection can be mortal and, in the Read more about Health alert in Spain issued by Listeria monocytogenes[…]
Authors: Buyun Qi, Alfonso García Naranjo, Manuel Jesús Arroyo Pulgar In our first post ‘World alert: Antimicrobial resistance‘ we discussed about the problem of antimicrobial resistance and the difficulty of fighting these infections, as well as the laborious and time-consuming current methods to identify these microorganisms. On the other hand, MALDI-TOF MS is a recent Read more about Using of MALDI-TOF in hospitals[…]
Authors: Alfonso García Naranjo, Buyun Qi, Manuel Jesús Arroyo Pulgar World Health Organization (WHO) defines the antimicrobial resistance as the change in microorganisms such as bacteria, viruses, fungi and parasites, that render ineffective the medications used to cure the infections they cause . WHO states this a major concern because a resistant infection may kill, Read more about World alert: Antimicrobial resistance[…]
Today, 22 March, is the World Water Day. It was created by the United Nations in 1993 to highlight the importance of fresh water, a resource that is not as reachable as it seems, unfortunately. It is essential for sustainable development and it plays a key role in poverty reduction, economic growth and the well-being Read more about Bacteria characterization in ballast water using MALDI-TOF MS[…]
We would like to show our gratitude to SEIMC and specially to Dr. Belén Rodríguez from Hospital Gregorio Marañón of Madrid and Dr. Marina Ovianio from Hospital Universitario of A Coruña for the organization of the ‘First MALDI-TOF Applications Course in Clinical Microbiology’, where we imparted a seminar on data processing for MALDI-TOF MS and Read more about SEIMC Course special thanks[…]
Bacterial infections are one of the most common causes of death worldwide. That is why fast and correct therapies are a really important key for the survival of patients with such kind of diseases. Matrix-assisted laser desorption ionization time-of-flight mass spectrometry entered the microbiological field some years ago, and since then, it has become an Read more about Susceptibility testing with MALDI-TOF MS[…]
Mass spectrometry technique is already known for its targeted, non-targeted and high throughput abilities that give it a great potential as a tool for proteomics data analysis. However, the quantification and identification methods that are used generate large amounts of data. At this point, a computational approach is required, and machine learning is one of Read more about Classification and identification of proteomic biomarkers with Machine Learning[…]
The most common healthcare-acquired infections are urinary tract infections (UTIs), and half of them are associated with catheters. Approximately, a third of people catheterised develop bacteria in their urine after a few days, and 25% of them get infected. Fortunately, but still serious enough, a small percentage of them will develop life-threatening infections like sepsis. Read more about Catheter’s risk of resistant infections[…]