What We Do

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

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.

Who We Serve

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

Software We Support

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

Publications and Presentations

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

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, Cheminformaticians, Computational Toxicologists, Health Scientists and Computer Scientists with a wide array of experience in government contracting, academic research and the pharmaceutical industry.

Bioinformatics
  • 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
Text-Mining and Literature Review
  • Document Tagging and Visualization
  • Full-Text Conversion and Search
  • Document Clustering, Ranking & Classification
  • Literature Prioritization and Screening
  • Data extraction
  • rapid Evidence Mapping (rEM) and systematic reviews
  • Web mining and information retrieval
Data Science and Analytics
  • Integration and visualization of large volumes of heterogeneous data
  • Development and implementation of Deep Learning methodologies for predictive science
  • Automated Image analysis using artificial intelligence
  • Natural Language Processing (NLP) methods using Deep Learning
Software Development
  • Requirements gathering
  • Software architecture design
  • User interface design
  • Implementation, deployment and maintenance
  • User support
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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.

The Sciome Team

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

  • Around half of our team members have PhDs in disciplines such as Bioinformatics, Statistics, Chemistry and Toxicology. Approximately 80% of our team members possess a Master’s degree.
  • Our team represents more than 175 years of combined work experience in scientific consulting, software development and research.
  • We publish routinely in high impact scientific journals (over 160 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.

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.

Latest Publications

Foley JF, Phadke DP, Hardy O, Hardy S, Miller V, Madan A, Howard K, Kruse K, Lord C, Ramaiahgari S, Solomon GG, Shah RR, Pandiri AR, Herbert RA, Sills RC, Merrick BA (2018). “Whole exome sequencing in the rat.” BMC genomics; 19(1), 487

Auerbach SS, Xu M, Merrick BA, Hoenerhoff MJ, Phadke D, Taxman DJ, Shah R, Hong HL, Ton T, Kovi RC, Sills RC, Pandiri AR (2018). “Exome Sequencing of Fresh-frozen or Formalin-fixed Paraffin-embedded B6C3F1/N Mouse Hepatocellular Carcinomas Arising Either Spontaneously or due to Chronic Chemical Exposure.” Toxicology pathology; doi:/10.1177/0192623318789398

Wignall JA, Muratov E, Sedykh A, Guyton KZ, Tropsha A, Rusyn I, Chiu WA (2018). “Conditional Toxicity Value (CTV) Predictor: An In Silico Approach for Generating Quantitative Risk Estimates for Chemicals”. Environmental health perspectives; 126(5):057008-057008

Glynn C, Tokdar S, Banks D, Howard BE (2018). “Bayesian Analysis of Dynamic Linear Topic Models.” Bayesian Analysis; doi:10.1214/18-BA1100

La MK, Sedykh A, Fourches D, Muratov E, Tropsha (2018). “Predicting Adverse Drug Effects from Literature-and Database-Mined Assertions”. Drug Safety; pp 1-14

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

Latest News

On: September 15, 2018

Every month the National Institute of Environmental Health Sciences (NIEHS) highlights a few exemplary papers of interest in their...

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On: August 30, 2018

Almost a year ago, we submitted a Phase I SBIR proposal to perform additional research related to work that...

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On: August 15, 2018

Every month the National Institute of Environmental Health Sciences (NIEHS) highlights a few exemplary papers of interest in their...

Read more

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Corporate Address
919-338-2177 | 2 Davis Drive, Research Triangle Park, NC 27709, USA

Office Location
919-338-2177 | 1920 E NC 54 Hwy, Suite 510 & 520, Durham, NC 27713, USA

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