Koliber Biosciences Inc.

Koliber Biosciences Inc. is listed as a new startup research supplier in the Scientist.com network, with 2 sites in 1 country.

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Search companies, drugs, suppliers and investigators, and follow each one to the others. Individual plan, $249/seat/mo. Card required.

Sites 2

Countries 1

Type of company: New startup

Biomarker Discovery Identify a biomarker associated with disease progression of disease, effectiveness of therapy or diagnosis of disease or condition.
Biomarker Services Evaluating normal/abnormal biological conditions and characteristics within the body
Cytokine Release Assay Use in vivo or in vitro assays to detect unregulated or excessive release of pro-inflammatory cytokines.
Immunoassays Create antibody-based assays for the identification and quantification of specific antigens.

Biostatistics Consulting Apply statistical theory and mathematical principals to research

Discovery Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects.
Discovery Statistical and Mathematical Modeling Use mathematical variables and equations to establish relationships between data.

Cytometric Bead Array (CBA) FACS Analysis Use flow cytometry and antibody-coated beads to simultaneously detect multiple target proteins.
Inflammation Assays Identify and validate pro- and anti-inflammatory molecules, recruitment inhibitors and chemotaxis modulators.

Antimicrobial Peptide Synthesis Make a peptide with anti-microbial activities.
Cytokines Find recombinant cytokines or cytokine assays.
ELISA Detect the presence of antigens recognized by antibodies or find antibodies that recognize an antigen.
Peptide Array Use biologically active synthetic peptides arranged in a high density format to assess protein interaction.
Peptide Discovery Identifying and developing new peptides.

Show all 18 services 4 more

Bioinformatics Bioinformatics is a powerful method of storing, retrieving and analyzing biological data.
Data and Text Mining Derive structured data from free text in order to become accessible for data-mining algorithms.
Machine Learning/ AI Predict and model an outcome (e.g. disease progression) based on input variables (i.e. features.)
Scientific Data Visualization Exploration and reporting of data by means of graphs and plots.

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