Science is rapidly being transformed by high-throughput experimental methods that demand fundamentally new approaches to software design. Developing today's scientific software requires both a deep knowledge of the problem domain and wide-ranging technical capabilities.
Diatom has developed a number of proprietary technologies which can be customized to meet our clients needs.
A platform for
building and managing integrated biological databases. Biolink provides an end-to-end solution for data integration, querying, and analysis, and can support both public and proprietary data sources.
A simple high-performance tool for managing biological identifiers,
names, synonyms, and mappings from different database sources. Transom supports a
customized collection of identifiers and mappings and provides both a web interface
and programmatic API for supporting other internal development projects.
Transom Home Page
Diatom has developed a cloud-based optimization framework capable of handling complex combinatorial optimization problems involving multiple competing objectives. Ideal for problems requiring the evaluation of millions of solution alternatives. This advanced technology has broad applications in bioinformatics, next-generation sequencing, visualization, and data-mining.
Based on our proprietary Cloud Optimization technology, CloudPCR is specifically designed for developing PCR-based diagnostic kits or for Next-Generation Sequencing applications. It leverages the power of cloud computing to sift through and compare hundreds of millions of candidate experimental designs, while identifying the very best alternatives and their associated tradeoffs.
Diatom Software Diatom Software is a bio and healthcare informatics services company developing solutions for government, academic, and industry since its founding in 2010. Our passion is developing scientific software applications, tools, and databases for use by scientists and bioinformatics specialists. We offer a broad spectrum of expertise in scientific computing and software development. Working closely with your scientific staff, we will design and deliver high-performance computing solutions that improve operational effectiveness, clarify and accelerate decision-making, and solve complex computing challenges.
Recent clients include:
- The US Centers for Disease Control and Prevention
- Boston University's Center for Advanced Genomic Technology
- Life Technologies / Ion Torrent
John Rachlin, PhD
CO-FOUNDER AND CHIEF SCIENTIFIC OFFICER
John Rachlin is Diatom's point person on all scientific and technical collaborations.
He is responsible for shaping the company's vision as a leader in bioinformatics services and scientific software development.
Dr. Rachlin is the author of MuPlex, a web-based application employed
by research laboratories around the world for designing multiplex
PCR experiments. He began his career in computational research at IBM's
T.J. Watson Research Laboratory where he worked on Artificial Intelligence
applications to manufacturing optimization and decision-support. For
this work, he was awarded the 1998 INFORMS Wagner Prize (1st place)
for excellence in operations research, and co-authored three U.S. Patents.
He has been working in the field of Bioinformatics and Drug Discovery since
2000, including a five year tenure as consultant and project leader in Sanofi-Aventis'
Scientific Computing Group.
Dr. Rachlin studied English Literature and Physics at Cornell University, earned a Masters Degree from The Johns Hopkins University, and
completed his Ph.D. research at Boston University. His thesis research concerned the application of graph-theoretic models to
applications in bioinformatics.
CO-FOUNDER AND CHIEF SOFTWARE ARCHITECT
Mark McGettrick oversees the software design and implementation process at Diatom, ensuring that products and services
are delivered meeting the highest standards of quality and performance.
Prior to founding Diatom, Mark worked for ten years at Sanofi-Aventis as a software engineer and project leader in
the Bioinformatics and Scientific Computing groups. His most notable contributions were in the areas of data integration,
network visualization and analysis, interface design, and automation.
Mark studied Music at Berklee College of Music, Computer Science at Champlain College, and Mathematics at Salem State College.
He earned a Master of Music in Music Education from The Boston Conservatory and continues to be an active music teacher in the Boston area.
We are always seeking creative, "outside the box" thinkers to join our development team. Candidates must have demonstrated experience
developing scientific software using Java, MySQL, Eclipse, and SVN. Preference given to candidates that also have a background in statistical
(Python, C, Objective-C). Email your cover letter and resume to email@example.com.