TransFac

TRANSFAC provides data on eukaryotic transcription factors, their experimentally-proven binding sites, consensus binding sequences (positional weight matrices) and regulated genes. TRANSCompel contains data on eukaryotic transcription factors experimentally proven to act together in a synergistic or antagonistic manner.

Stat/Transfer

Stat/Transfer is designed to simplify the transfer of statistical data between different programs. Stat/Transfer will automatically read statistical data in the internal format of one of the supported programs and will then transfer as much of the information as is present and appropriate to the internal format of another. Stat/Transfer preserves all of the precision in your data, while automatically minimizing the size of your output data set. Stat/Transfer also allows control over the storage format of your output variables.

SPSS

IBM SPSS Statistics is an integrated family of products that helps to address the entire analytical process, from planning and data collection to analysis, reporting and deployment. With more than a dozen fully integrated modules to choose from, you can find the specialized capabilities you need to increase revenue, outperform competitors and make better decisions.

Social Security Death Master File (SSDMF)

The Limited Access DMF (DMF) from the Social Security Administration (SSA) contains over 86 million records created from SSA payment records. This file includes the following information on each decedent, if the data are available to the SSA: social security number, name, date of birth, date of death. The SSA does not have a death record for all persons; therefore, SSA does not guarantee the veracity of the file. Thus, the absence of a particular person is not proof this person is alive. SSDMF database is updated once a week.

SEER-Medicare

The SEER-Medicare data reflect the linkage of two large population-based sources of data that provide detailed information about Medicare beneficiaries with cancer. The data come from the Surveillance, Epidemiology and End Results (SEER)External Web Site Policy program of cancer registries that collect clinical, demographic and cause of death information for persons with cancer and the Medicare claims for covered health care services from the time of a person's Medicare eligibility until death.

New York City Clinical Data Research Network (NYC-CDRN)

The New York City Clinical Data Research Network (NYC-CDRN) has been established to improve and streamline research in an effort to advance patient-centered research. NYC-CDRN uses a large volume of robust, high-quality patient data and support services from a collaboration of more than 20 partners, including WCM and NYP. The NYC-CDRN collects comprehensive medical histories for what will be as many as 6 million patients. 

Medicare Claims and Enrollment

Medicare is the federally funded program that provides health insurance for the elderly, persons with end-stage renal disease, and some disabled. For persons age 65 and over, 97 percent are eligible for Medicare. Almost all Medicare beneficiaries have Part A coverage that includes hospital, skilled-nursing facility, hospice and some home health care. Information about Medicare eligibility and enrollment is available for all persons included in the SEER-Medicare data (both cancer and non-cancer cases). Medicare claims (bills) are available only for persons with fee-for-service coverage.

MATLAB

The MATLAB platform is optimized for solving engineering and scientific problems. The matrix-based MATLAB language is the world’s most natural way to express computational mathematics. Built-in graphics make it easy to visualize and gain insights from data. A vast library of prebuilt toolboxes lets you get started right away with algorithms essential to your domain. The desktop environment invites experimentation, exploration, and discovery. These MATLAB tools and capabilities are all rigorously tested and designed to work together.