Data

Face the data challenges in Life Sciences

Data Capture
Harvest Data & Metadata from diverse and heterogeneous Species & Specimens

Data Analytics
From Bioinformatics to latest Artificial Intelligence advancements

Data Collaboration
Keys for Actionable Knowledge exploitation

Data Context
BigData-ready infrastructure & Compliance Frameworks

Data

Face the data challenges in Life Sciences

Master the whole Data Value Chain to serve Advanced Data Integration & Analysis objectives of Life Sciences projects

How turn large amount of complex, heterogeneous and high-dimension data into actionable knowledge? By mastering the whole data chain value in a fully controlled way, from readout & endpoints capture, advanced data analysis up to knowledge consolidation.

Depending on project expectations, we carry out the integration of multi-species, multi-scale as well as longitudinal data to decipher more deeply System Biology mechanisms, to propose translational strategy, to scrutinize the molecular, cellular and systemic features in action in host-pathogen interplay, etc.
Whatever the complex nature of your project, we provide Bioinformatics expertise, Biostatistical talents, state-of-the-art Machine Learning (ML) methodologies as well as innovative Artificial Intelligence (AI) approaches to take up any “data mining to data meaning” challenges.
We bring the assurance that the context of production of biological outcomes integrates the expected level of quality and complies with the most trusted Life Sciences frameworks (e.g. regulatory, ethics, contractual, etc.) as well as Bio-IT guidelines.
Whatever the partnering schema, final reports consolidate wet and in-silico analytics process, data quality evidence, documented results with performance metrics as well as biologically interpreted knowledge. Final delivered materials are then suitable to be rapidly turn into products, patient benefits, publications or IP assets.

1

Data Capture

Achieve the first-level of Data/Metadata integration from diverse and heterogeneous species & specimens

  • Accurate data tracking and registering based on Lab. digitizing solutions, given their type, nature or origin: LIMS for readout, eCRF for clinical endpoints, etc.
  • Depending on project demands, we propose generic/centralized data warehousing solutions up to more tailored and deeper data+metadata relationships modelling and merging. This allows to better handle the complexity of biospecimens and readout reconciliation originating from different clinical sites, (pre)clinical studies, samplings, time points, etc.
  • We used to perform data wrangling to engineer and make data curation, crucial steps prior to any accurate data analytics process, e.g. data standardisation (use of ontology, data dictionary, etc.), data enrichment (interoperability with literature and external biological reference database, etc.).
  • We adopt FAIR principles to govern our scientific Data Management backbone.
  • As BIOASTER is proposing a full-stack offer, by design, your project will benefit of “data continuity from samples collection, lab. analytics up to bioinfomatics and statistical treatments with both samples and data managed “under the same roof” which strengthens the whole data chain value.

Data
2

Data Analytics

Make yours the latest advancement in Bioinformatics & AI/ML to address integrative analytics challenges originating from Translational, Precision Medicines, host-pathogen interplay or System Biology.

  • BIOASTER has developed a holistic approach, by making the data most meaningful thanks a continuous and virtuous feed-back between biological experts, bioinformaticians and data scientists to reach refined outcomes. We turn with you project objectives in a set of clear, limited and unambiguous biological questions to be addressed.
  • Most of our in silico offer is industrialized to fulfil scale-up and robustness requirements. It is made of bioinformatics, statistical and machine learning process benchmarked and embedded into ready-to-run streamlined workflow sustained by SOP. Depending of data nature or project expectations originality, our team is capable to perform technical setup aiming to elect the most appropriate or disruptive approach to address new analytics issues.
  • We explore data connections by deciphering the best suitable statistical models capable to explain or predict response variables working on complex integration of molecular readout and clinical endpoints.
  • We make you benefit of the cumulated advantage of BigData and Deep Learning algorithms to explore new data type associations (e.g. omics, cytometry, image, etc.) as well as unsuspected potentials in terms of times to result gain, throughput and improved sensibility/specificity.
  • Our core analytics frameworks is capable to adapt to a wide diversity of projects objectives as demonstrated by BIOASTER’s track record : find molecular signatures from single-omics or multi-omics experiments, rapid profiling of microbiota in longitudinal samples, make events correlation (e.g. local vs. systemic or late vs. early to decipher the MoA of an adjuvant in multi-species system vaccinology program), stratify populations for precision medicine (e.g. poor/good responders), reduce signatures for application to IVD product, etc.

Data
3

Data Collaboration

Make project knowledge actionable while retaining the control to keep or broadcast produced information assets.

  • We provide partners with a data sharing web platform to access the data while assuring a strict role-based access control and secured information transfer.
  • Our clients have access to advanced tools for high-content & dynamic data visualisation made to reduce data complexity while favouring results interpretation.
  • We also design, prototype and implement all-in-one digital solutions which integrate raw data indexing, bioinformatics or statistical treatments as well as Visual Analytics functional blocks for hypothesis-generation/testing and guiding decision making in R&D or clinical context.
  • Data and knowledge are shaped to promote further valorisation (IP, publication, licensing, etc.)

4

Data Context

Get the guarantee to comply with a broad spectrum of up to date legal, contractual regulatory & quality frameworks applied through a Big Data & AI-ready infrastructure.

  • Our ISO9001-certified Data Quality-driven process is built to reach industrials standards.
  • BIOASTER is capable to drive or support regulatory compliance about data privacy of clinical studies in GDPR context
  • Data & generated knowledge are ready for partners sharing and further valorisation thanks to mastered Data Management procedures implementing most of FAIR principles
  • We operate Hybrid Cloud & services hosting project data with proven IT/IS standards & requirements in terms of data security, data privacy and data integrity.
  • Combination of HTC (High Throughput Computing), massive storage and high performance network bandwidth allows us to deal with the most IT resources-demanding projects, e.g. BigData and/or machine learning deep analysis.
  • Data are safely kept on infrastructure depending on contractual agreement.

2

Data Analytics

Make yours the latest advancement in Bioinformatics & AI/ML to address integrative analytics challenges originating from Translational, Precision Medicines, host-pathogen interplay or System Biology.

  • BIOASTER has developed a holistic approach, by making the data most meaningful thanks a continuous and virtuous feed-back between biological experts, bioinformaticians and data scientists to reach refined outcomes. We turn with you project objectives in a set of clear, limited and unambiguous biological questions to be addressed.
  • Most of our in silico offer is industrialized to fulfil scale-up and robustness requirements. It is made of bioinformatics, statistical and machine learning process benchmarked and embedded into ready-to-run streamlined workflow sustained by SOP. Depending of data nature or project expectations originality, our team is capable to perform technical setup aiming to elect the most appropriate or disruptive approach to address new analytics issues.
  • We explore data connections by deciphering the best suitable statistical models capable to explain or predict response variables working on complex integration of molecular readout and clinical endpoints.
  • We make you benefit of the cumulated advantage of BigData and Deep Learning algorithms to explore new data type associations (e.g. omics, cytometry, image, etc.) as well as unsuspected potentials in terms of times to result gain, throughput and improved sensibility/specificity.
  • Our core analytics frameworks is capable to adapt to a wide diversity of projects objectives as demonstrated by BIOASTER’s track record : find molecular signatures from single-omics or multi-omics experiments, rapid profiling of microbiota in longitudinal samples, make events correlation (e.g. local vs. systemic or late vs. early to decipher the MoA of an adjuvant in multi-species system vaccinology program), stratify populations for precision medicine (e.g. poor/good responders), reduce signatures for application to IVD product, etc.

Data
4

Data Context

Get the guarantee to comply with a broad spectrum of up to date legal, contractual regulatory & quality frameworks applied through a Big Data & AI-ready infrastructure.

  • Our ISO9001-certified Data Quality-driven process is built to reach industrials standards.
  • BIOASTER is capable to drive or support regulatory compliance about data privacy of clinical studies in GDPR context
  • Data & generated knowledge are ready for partners sharing and further valorisation thanks to mastered Data Management procedures implementing most of FAIR principles
  • We operate Hybrid Cloud & services hosting project data with proven IT/IS standards & requirements in terms of data security, data privacy and data integrity.
  • Combination of HTC (High Throughput Computing), massive storage and high performance network bandwidth allows us to deal with the most IT resources-demanding projects, e.g. BigData and/or machine learning deep analysis.
  • Data are safely kept on infrastructure depending on contractual agreement.

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