What We Do

We use comprehensive and cutting edge quantitative methods paired with efficient informatics techniques to solve complex scientific challenges.

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Who We Are

We are a light hearted, hardworking, multi-disciplinary team of scientists who enjoy diverse technical challenges and love to work in a team. We share a passion for varied scientific disciplines and we love to learn, experiment and innovate.

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Who We Serve

We serve a variety of US Federal Government agencies, pharmaceutical and biotechnology companies, non-profit research organizations and academic institutes.

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Software We Support

We support SWIFT-Review, Active Screener, FIDDLE, BMDExpress 2.0 and the Risk21 Roadmap Visualization tool (RRV).

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Publications and Presentations

We regularly publish in scientific journals and present our work to audiences around the world.

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Latest News

Catch up with the latest news and events at Sciome.

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About Us

Sciome LLC is an innovative research and technology consulting company providing state of the art informatics solutions for the life sciences industry. We specialize in developing and deploying novel bioinformatics, cheminformatics, text-mining and data science solutions for researchers in government, academic and private sector organizations.

High throughput technologies are routinely used to study genomes, proteomes and metabolomes creating a deluge of scientific data. In addition, large volumes of data are available via electronic health records, clinical study reports, government reports, high content images, and the ever increasing amount of scientific literature in peer reviewed journals and on the World Wide Web. Success of scientific endeavors in such data rich environments greatly depends on the careful exploration and interpretation of this data. This has created a large demand for sophisticated tools and highly skilled expertise to enable data-driven discovery.

Our goal is to provide cutting edge, customized and cost effective informatics solutions for efficient data management, data analyses and interpretation. We develop novel quantitative methodologies, design and deliver intuitive software tools, and deploy efficient computational techniques to enable timely and insightful discoveries.

Our mission is to enable science via analytical informatics.

What We Do

We use comprehensive and cutting edge quantitative methods paired with efficient informatics techniques to solve complex scientific challenges. We work with our clients at all stages of the life science discovery process, starting with hypotheses generation and experiment design, through data analysis using off-the-shelf and custom designed methodologies and culminating with expert help in interpretation of the results. We also provide detailed support for manuscript preparation, formulation of reports, and aid in the dissemination of information using print or online medium for projects that cover a variety of scientific disciplines. Our consulting team includes PhD level Bioinformatics Scientists, Statisticians, Toxicologists and Computer Scientists with a wide array of experience in government contracting, academic research and the pharmaceutical industry.

Bioinformatics and Biostatistics

Next Generation Sequence data analysis
Microarray data analysis
Structural & Functional genomics
SNP/Genotype analysis & GWAS
Biostatistics and Mathematical Modeling

Cheminformatics

Quantitative Structure-Activity Relationship (QSAR) modeling
Computational Toxicity Predictions
Active site and Protein-Protein Docking
Pharmacophore Modeling

Software Development

Requirements gathering
Software architecture design
User interface design
Implementation, deployment and maintenance
User support

Text-Mining

Document Tagging and Visualization
Full-Text Conversion and Search
Document Clustering, Ranking & Classification
Literature Prioritization and Screening
Data extraction
Web mining and information retrieval

Data Analytics

Integration and visualization of large volumes of heterogeneous data
Development and implementation of Deep learning methodologies for predictive science
Data mining using machine learning for prioritization or classification
Automated Image analysis using artificial intelligence

Satisfied Clients

Cups of Coffee

Publications

Likes

Who We Are

The Sciome Team

Our team has a diverse background in helping organizations and individual scientists succeed in solving scientific challenges.

Half our team members have PhDs in disciplines such as Bioinformatics, Statistics, Chemistry and Toxicology. More than 80% of our team members possess a Master’s degree.
Our team represents more than 110 years of combined work experience in scientific consulting, software development and research.
We publish routinely in high impact scientific journals (over 100 publications) such as Nature, Science, Nature Genetics and many more.
We present at varied scientific conferences, develop interactive scientific software applications and participate in collaborative scientific endeavors.

We develop novel quantitative methodologies, design and deliver intuitive software tools, and deploy efficient computational techniques to enable timely and insightful discoveries.

Who We Serve

We get hired to solve complex, unique and/or recurring scientific challenges. Our consulting engagements range from multiyear research endeavors in support of environmental or health related topics to short term data mining projects in support of specific scientific pursuits. We continue to serve a variety of US Federal Government agencies, pharmaceutical and biotechnology companies, non-profit research organizations and academic institutes.

Academia

Government

Non-Profit Institutions

Private Sector

21st Century Creations + Argos Therapeutics + British American Tobacco + Endacea

Family Health Network + First Flight + GSK + Integrated Laboratory Systems

Proctor & Gamble + Reynolds + Scikon Innovations + Social & Scientific Systems, Inc.

Software We Support

BMDExpress 2.0
Integrated Chemical Environment (ICE)
SWIFT-Active Screener
SWIFT-Review
Other Software

Latest Publications

Mav D, Shah RR, Howard BE, Auerbach SS, Bushel PR, Collins JB, Gerhold DL, Judson RS, Karmaus AL, Maull EA, Mendrick DL, Merrick BA, Sipes NS, Svoboda D, Paules RS (2018). “A hybrid gene selection approach to create the S1500+ targeted gene sets for use in high-throughput transcriptomics.” PLoS One; 13-2, e0191105

Cocce KJ, Jasper JS, Everett LJ, Wardell SE, Westerling T, Krebs T, Baldi R, Wright TM, Yllanes A, Blitzer JT, Logsdon D, Rakiec D, Ruddy D, Hyslop T, Jiang L, Hall A, Marks JR, Crawford GE, Brown M, McDonell DP, Norris JD (2018). “GRHL2: key lineage determining factor collaborates with FOXA1 to establish targetable collateral pathway in endocrine therapy-resistant breast cancer”. Molecular Biology and Evolution; Volume 35, Issue 1, Pages 50–65

Li R, Grimm SA, Mav D, Gu H, Djukovic D, Shah R, Merrick BA, Raftery D, Wade PA (2018). “Transcriptome and DNA Methylome Analysis in a Mouse Model of Diet-Induced Obesity Predicts Increased Risk of Colorectal Cancer”. Cell Rep, 2018 Jan 16;22(3):624-637. doi: 10.1016/j.celrep.2017.12.071

Merrick BA, Chang JS, Phadke DP, Bostrom MA, Shah RR, Wang X, Gordon O, Wright GM (2018). “HAfTs are novel lncRNA transcripts from aflatoxin exposure”. PLoS One, 2018 Jan 19;13(1): e0190992. doi: 10.1371/journal.pone.0190992

Balik-Meisner M, Truong L, Scholl EH, Tanguay RL, Reif DM (2018). “Population genetic diversity in zebrafish lines.” Mammalian Genome; 24 Jan 2018; doi: 10.1007/s00335-018-9735-x

Hardy CM, Burke MK, Everett LJ, Han MV, Lantz KM, Gibbs AG (2018). “Genome-wide analysis of starvation-selected Drosophila melanogaster—A genetic model of obesity”. Molecular Biology and Evolution 2018, 35(1):50-65

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