& internal project collaboration
BioX Experiment Design Engine
HOW IT WORKS
The Engine works by enabling users to evaluate experimental protocols, tools & results from figure images for genes, proteins, diseases, molecular functions, biological processes, anatomic regions, cellular components, species, tissues, or pathways and match them with plasmids, shRNAs, siRNAs, antibodies, crispr & ZFN sequences, cell lines, proteins and kits, bioactive small molecules, animal models, software and instruments.
Background in emerging biotechnology & bio-medical research with over a decade of commercial experience in the life science research market. Previously, associate director at Merck KgaA leading the emerging biotechnology initiative in Europe. Mark co-founded Curogenix, a European commercial agency for in vitro & in vivo contract research services, and prior to that worked at Sigma-Aldrich as a field applications specialist for emerging technologies.
Pavel has a background in computer science, software engineering & applied bioinformatics. He has particular expertise in biological patterns, data classification and recognition, machine learning approaches using GPGPU based predictive modeling, code conversion & optimization, general-purpose computations on graphical processors & java technologies as well as R, C/C++, java, verilog, python, bash (linux shell), visual basic, perl, and tcl.
Background in economics & finance from Kemmy business school at University of Limerick. Anna has worked in the Life Science, Food & Banking industries, & brings over 10 years expertise in project management , operations & finance to the team. She has previously founded a company in the food industry, after working in RBS global markets in the US. Anna has also won a management award while at Aramark.
Metabolomics & Cheminformatics
Michael has a PhD in analytical chemistry & is a lecturer in biostatistics. He has a background in cheminformatics and data science with 10 years of experience in machine learning, pattern recognition and biomarker discovery. His specialist interest is in developing tools to interrogate metabolomics datasets leading to the non-invasive diagnosis of cancers and diseases. Michael is skilled in statistical programming using R & Matlab.
Background in digital marketing with a proven track record in digital design, search engine optimisation, social media & automated marketing. Colum also has graphic design & animation experience for generating online media content. He is currently interested in developing skills in print design, including infographics & posters. He has several certifications in design, digital marketing & animation.
Genomics & Transcriptomics
Niranjan has a background in molecular biology & applied bioinformatics. He has expertise in handling NGS HiSeq data, quality control and filtering of NGS data: de novo or reference based using assemblers, reference based genome alignment, detection of genomic variation, RNA-seq differential expression analysis, and identification of sequence binding motifs using ChIP-seq.
“the genes that have come out of BioXplor are extremely relevant. In fact, the top two genes are the subject of my manuscripts! One gene is what I'm working on for publication this week! So very nice!!”
“This is exactly the tool we need to accelerate our Drug Repurposing work. Currently we have 6 senior scientists sitting in a room manually reading through Scientific Papers, whereas this tool can do in minutes & hours what takes us days, weeks & months… “
" BioXplor is more advanced than IBM Watson in terms of Ontologies, Mining Figure Images & Full Text Papers, and it is very clever that you built the platform with these important factors in mind from the beginning…”
“Unstructured text is a MAJOR pain point in Pharma R&D today, your tool has a lot of value in solving that problem”
“This is a great platform for validating outputs from our omics based discovery pipeline by combining with literature based screening optimized for oncology”
“We have been trying to build this type of tool internally but only managed to do individual tasks due to the time & complexity involved. It’s particularly important that you automatically update your database with each newly published scientific paper”
" This is an ideal platform to analyse and share our R&D data combined with literature based insights right across our global R&D organisation."
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