Having experts in microbiome, multi-omics, and clinical data analysis on your team is critical to the project’s success. BioRankings® brings important expertise to the beginning and end of your bioinformatics pipeline. Analyzing microbiome (and other -omics data) requires a wide range of expertise for the bioinformatics or ‘Sequencing Pipeline’ (computer science, biology, math) and Statistical Experimental Design and Data Analysis (biostatistics).

 

Often it’s not the lack of methods and software that is the issue, but having that expertise to make critical decisions on which analyses to use and how to correctly interpret the results. With BioRankings, you get expert, collaborative biostatistical consultants that will get your data analysis issues under control and teach you and your team on how to think like a statistician about data. We have expertise in data analysis, experimental design, hypothesis testing, and software design, and are able to quickly apply this to your problems to create and validate new and existing software for your microbiome data.

  • Statistical Analysis Plans and Study Design

    A Statistical Analysis Plan (SAP) helps your team a define a clear focus on the goals of the study. Clear testable hypotheses that define statistical tests and sample size calculations ensure you  are sufficiently powered to discover the true signal in the data while avoiding wasting time and money on underpowered studies where you are at risk of missing the signal, and overpowered studies where you waste money on unnecessary sample collection and sequencing. BioRankings® works with researchers to create an SAP that optimizes data-driven decision making for scientific planning, maximizes resources, and reduces the risk of making wrong decisions due to lack of data analysis and misinterpretation of data. We help clients design and optimize clinical trials based on budget, required sample sizes, and goals.

     

  • Statistical Methods Development & R Code Programming

    When no methods exist for your data analysis, working with an expert to define the problem and find a solution can be the difference between significant and actionable versus false results. BioRankings’ data scientists have the knowledge and expertise in microbiome-specific problems to narrow down the available approaches to analyzing microbiome data and find the correct way to answer your specific data question. By applying rigorous statistical testing of algorithms before they are used with your data, you are guaranteed only validated analytical tools will be used to analyze perhaps your most valuable asset, the data from your research. As an open-source company, BioRankings also provides all custom R code that can be used by your team at no cost to process and analyze your future data.

     

  • Clinical Trial Pipeline Strategy Consulting

    Making decisions on which products or treatments to devote time and resources can be a challenge, especially without a clear picture of the possible limitations of past and current clinical trials. BioRankings uses your current trial data and the publicly available data from comparable studies to design and run computer Monte Carlo simulations to help with decision making.

  • Data Analysis & Reports

    When it is time to move forward from basic bioinformatics into statistical analysis, it helps to have a partner that understands the nuances of microbiome data analytics. BioRankings approaches data analysis using multidisciplinary methods, drawing from a wide range of fields in analytics, including statistics, machine learning, graph theory, mathematics, and computer science. However, our core strength and focus is the use of advanced mathematical statistics, biostatistical methods, probability theory, decision theory, and distributional assumptions. Our goal is to help researchers understand their data and receive actionable information that can help drive their product through the of R&D pipeline (pre-clinical and Phase I – III) for regulatory approval.

  • Data Analysis Platform

    BioRankings scientists and software engineers are developing cloud-hosted software platforms to bring complicated microbiome data analysis methods and interpretation to clinical researchers. This platform emphasizes ease of use while providing validated statistical methods and analyses focused on formal hypothesis testing, and hosting on AWS allows it to be scalable and flexible. This will support your ability to get microbiome-related products through the R&D pipeline faster and cheaper, producing results for regulatory agencies that go further than academic discovery research.

     

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  • Statistical Analysis Plans and Study Design

    A Statistical Analysis Plan (SAP) helps your team a define a clear focus on the goals of the study. Clear testable hypotheses that define statistical tests and sample size calculations ensure you  are sufficiently powered to discover the true signal in the data while avoiding wasting time and money on underpowered studies where you are at risk of missing the signal, and overpowered studies where you waste money on unnecessary sample collection and sequencing. BioRankings® works with researchers to create an SAP that optimizes data-driven decision making for scientific planning, maximizes resources, and reduces the risk of making wrong decisions due to lack of data analysis and misinterpretation of data. We help clients design and optimize clinical trials based on budget, required sample sizes, and goals.

     

  • Statistical Methods Development & R Code Programming

    When no methods exist for your data analysis, working with an expert to define the problem and find a solution can be the difference between significant and actionable versus false results. BioRankings’ data scientists have the knowledge and expertise in microbiome-specific problems to narrow down the available approaches to analyzing microbiome data and find the correct way to answer your specific data question. By applying rigorous statistical testing of algorithms before they are used with your data, you are guaranteed only validated analytical tools will be used to analyze perhaps your most valuable asset, the data from your research. As an open-source company, BioRankings also provides all custom R code that can be used by your team at no cost to process and analyze your future data.

     

  • Clinical Trial Pipeline Strategy Consulting

    Making decisions on which products or treatments to devote time and resources can be a challenge, especially without a clear picture of the possible limitations of past and current clinical trials. BioRankings uses your current trial data and the publicly available data from comparable studies to design and run computer Monte Carlo simulations to help with decision making.

  • Data Analysis & Reports

    When it is time to move forward from basic bioinformatics into statistical analysis, it helps to have a partner that understands the nuances of microbiome data analytics. BioRankings approaches data analysis using multidisciplinary methods, drawing from a wide range of fields in analytics, including statistics, machine learning, graph theory, mathematics, and computer science. However, our core strength and focus is the use of advanced mathematical statistics, biostatistical methods, probability theory, decision theory, and distributional assumptions. Our goal is to help researchers understand their data and receive actionable information that can help drive their product through the of R&D pipeline (pre-clinical and Phase I – III) for regulatory approval.

  • Data Analysis Platform

    BioRankings scientists and software engineers are developing cloud-hosted software platforms to bring complicated microbiome data analysis methods and interpretation to clinical researchers. This platform emphasizes ease of use while providing validated statistical methods and analyses focused on formal hypothesis testing, and hosting on AWS allows it to be scalable and flexible. This will support your ability to get microbiome-related products through the R&D pipeline faster and cheaper, producing results for regulatory agencies that go further than academic discovery research.

     

  • Statistical Analysis Plans and Study Design

    A Statistical Analysis Plan (SAP) helps your team a define a clear focus on the goals of the study. Clear testable hypotheses that define statistical tests and sample size calculations ensure you  are sufficiently powered to discover the true signal in the data while avoiding wasting time and money on underpowered studies where you are at risk of missing the signal, and overpowered studies where you waste money on unnecessary sample collection and sequencing. BioRankings® works with researchers to create an SAP that optimizes data-driven decision making for scientific planning, maximizes resources, and reduces the risk of making wrong decisions due to lack of data analysis and misinterpretation of data. We help clients design and optimize clinical trials based on budget, required sample sizes, and goals.

     

  • Statistical Methods Development & R Code Programming

    When no methods exist for your data analysis, working with an expert to define the problem and find a solution can be the difference between significant and actionable versus false results. BioRankings’ data scientists have the knowledge and expertise in microbiome-specific problems to narrow down the available approaches to analyzing microbiome data and find the correct way to answer your specific data question. By applying rigorous statistical testing of algorithms before they are used with your data, you are guaranteed only validated analytical tools will be used to analyze perhaps your most valuable asset, the data from your research. As an open-source company, BioRankings also provides all custom R code that can be used by your team at no cost to process and analyze your future data.

     

  • Clinical Trial Pipeline Strategy Consulting

    Making decisions on which products or treatments to devote time and resources can be a challenge, especially without a clear picture of the possible limitations of past and current clinical trials. BioRankings uses your current trial data and the publicly available data from comparable studies to design and run computer Monte Carlo simulations to help with decision making.

  • Data Analysis & Reports

    When it is time to move forward from basic bioinformatics into statistical analysis, it helps to have a partner that understands the nuances of microbiome data analytics. BioRankings approaches data analysis using multidisciplinary methods, drawing from a wide range of fields in analytics, including statistics, machine learning, graph theory, mathematics, and computer science. However, our core strength and focus is the use of advanced mathematical statistics, biostatistical methods, probability theory, decision theory, and distributional assumptions. Our goal is to help researchers understand their data and receive actionable information that can help drive their product through the of R&D pipeline (pre-clinical and Phase I – III) for regulatory approval.

  • Data Analysis PLATFORM

    BioRankings scientists and software engineers are developing cloud-hosted software platforms to bring complicated microbiome data analysis methods and interpretation to clinical researchers. This platform emphasizes ease of use while providing validated statistical methods and analyses focused on formal hypothesis testing, and hosting on AWS allows it to be scalable and flexible. This will support your ability to get microbiome-related products through the R&D pipeline faster and cheaper, producing results for regulatory agencies that go further than academic discovery research.

     

  • Statistical Analysis Plans and Study Design

    A Statistical Analysis Plan (SAP) helps your team a define a clear focus on the goals of the study. Clear testable hypotheses that define statistical tests and sample size calculations ensure you  are sufficiently powered to discover the true signal in the data while avoiding wasting time and money on underpowered studies where you are at risk of missing the signal, and overpowered studies where you waste money on unnecessary sample collection and sequencing. BioRankings® works with researchers to create an SAP that optimizes data-driven decision making for scientific planning, maximizes resources, and reduces the risk of making wrong decisions due to lack of data analysis and misinterpretation of data. We help clients design and optimize clinical trials based on budget, required sample sizes, and goals.

     

  • Statistical Methods Development & R Code Programming

    When no methods exist for your data analysis, working with an expert to define the problem and find a solution can be the difference between significant and actionable versus false results. BioRankings’ data scientists have the knowledge and expertise in microbiome-specific problems to narrow down the available approaches to analyzing microbiome data and find the correct way to answer your specific data question. By applying rigorous statistical testing of algorithms before they are used with your data, you are guaranteed only validated analytical tools will be used to analyze perhaps your most valuable asset, the data from your research. As an open-source company, BioRankings also provides all custom R code that can be used by your team at no cost to process and analyze your future data.

     

  • Clinical Trial Pipeline Strategy Consulting

    Making decisions on which products or treatments to devote time and resources can be a challenge, especially without a clear picture of the possible limitations of past and current clinical trials. BioRankings uses your current trial data and the publicly available data from comparable studies to design and run computer Monte Carlo simulations to help with decision making.

  • Data Analysis & Reports

    When it is time to move forward from basic bioinformatics into statistical analysis, it helps to have a partner that understands the nuances of microbiome data analytics. BioRankings approaches data analysis using multidisciplinary methods, drawing from a wide range of fields in analytics, including statistics, machine learning, graph theory, mathematics, and computer science. However, our core strength and focus is the use of advanced mathematical statistics, biostatistical methods, probability theory, decision theory, and distributional assumptions. Our goal is to help researchers understand their data and receive actionable information that can help drive their product through the of R&D pipeline (pre-clinical and Phase I – III) for regulatory approval.

  • Data Analysis PLATFORM

    BioRankings scientists and software engineers are developing cloud-hosted software platforms to bring complicated microbiome data analysis methods and interpretation to clinical researchers. This platform emphasizes ease of use while providing validated statistical methods and analyses focused on formal hypothesis testing, and hosting on AWS allows it to be scalable and flexible. This will support your ability to get microbiome-related products through the R&D pipeline faster and cheaper, producing results for regulatory agencies that go further than academic discovery research.

     

  • Statistical Analysis Plans and Study Design

    A Statistical Analysis Plan (SAP) helps your team a define a clear focus on the goals of the study. Clear testable hypotheses that define statistical tests and sample size calculations ensure you  are sufficiently powered to discover the true signal in the data while avoiding wasting time and money on underpowered studies where you are at risk of missing the signal, and overpowered studies where you waste money on unnecessary sample collection and sequencing. BioRankings® works with researchers to create an SAP that optimizes data-driven decision making for scientific planning, maximizes resources, and reduces the risk of making wrong decisions due to lack of data analysis and misinterpretation of data. We help clients design and optimize clinical trials based on budget, required sample sizes, and goals.

     

  • Statistical Methods Development & R Code Programming

    When no methods exist for your data analysis, working with an expert to define the problem and find a solution can be the difference between significant and actionable versus false results. BioRankings’ data scientists have the knowledge and expertise in microbiome-specific problems to narrow down the available approaches to analyzing microbiome data and find the correct way to answer your specific data question. By applying rigorous statistical testing of algorithms before they are used with your data, you are guaranteed only validated analytical tools will be used to analyze perhaps your most valuable asset, the data from your research. As an open-source company, BioRankings also provides all custom R code that can be used by your team at no cost to process and analyze your future data.

     

  • Clinical Trial Pipeline Strategy Consulting

    Making decisions on which products or treatments to devote time and resources can be a challenge, especially without a clear picture of the possible limitations of past and current clinical trials. BioRankings uses your current trial data and the publicly available data from comparable studies to design and run computer Monte Carlo simulations to help with decision making.

  • Data Analysis & Reports

    When it is time to move forward from basic bioinformatics into statistical analysis, it helps to have a partner that understands the nuances of microbiome data analytics. BioRankings approaches data analysis using multidisciplinary methods, drawing from a wide range of fields in analytics, including statistics, machine learning, graph theory, mathematics, and computer science. However, our core strength and focus is the use of advanced mathematical statistics, biostatistical methods, probability theory, decision theory, and distributional assumptions. Our goal is to help researchers understand their data and receive actionable information that can help drive their product through the of R&D pipeline (pre-clinical and Phase I – III) for regulatory approval.

  • Data Analysis PLATFORM

    BioRankings scientists and software engineers are developing cloud-hosted software platforms to bring complicated microbiome data analysis methods and interpretation to clinical researchers. This platform emphasizes ease of use while providing validated statistical methods and analyses focused on formal hypothesis testing, and hosting on AWS allows it to be scalable and flexible. This will support your ability to get microbiome-related products through the R&D pipeline faster and cheaper, producing results for regulatory agencies that go further than academic discovery research.

     

  • Statistical Analysis Plans and Study Design

    A Statistical Analysis Plan (SAP) helps your team a define a clear focus on the goals of the study. Clear testable hypotheses that define statistical tests and sample size calculations ensure you  are sufficiently powered to discover the true signal in the data while avoiding wasting time and money on underpowered studies where you are at risk of missing the signal, and overpowered studies where you waste money on unnecessary sample collection and sequencing. BioRankings® works with researchers to create an SAP that optimizes data-driven decision making for scientific planning, maximizes resources, and reduces the risk of making wrong decisions due to lack of data analysis and misinterpretation of data. We help clients design and optimize clinical trials based on budget, required sample sizes, and goals.

  • Statistical Methods Development & R Code Programming

    When no methods exist for your data analysis, working with an expert to define the problem and find a solution can be the difference between significant and actionable versus false results. BioRankings’ data scientists have the knowledge and expertise in microbiome-specific problems to narrow down the available approaches to analyzing microbiome data and find the correct way to answer your specific data question. By applying rigorous statistical testing of algorithms before they are used with your data, you are guaranteed only validated analytical tools will be used to analyze perhaps your most valuable asset, the data from your research. As an open-source company, BioRankings also provides all custom R code that can be used by your team at no cost to process and analyze your future data.

  • Clinical Trial Pipeline Strategy Consulting

    Making decisions on which products or treatments to devote time and resources can be a challenge, especially without a clear picture of the possible limitations of past and current clinical trials. BioRankings uses your current trial data and the publicly available data from comparable studies to design and run computer Monte Carlo simulations to help with decision making.

  • Data Analysis & Reports

    When it is time to move forward from basic bioinformatics into statistical analysis, it helps to have a partner that understands the nuances of microbiome data analytics. BioRankings approaches data analysis using multidisciplinary methods, drawing from a wide range of fields in analytics, including statistics, machine learning, graph theory, mathematics, and computer science. However, our core strength and focus is the use of advanced mathematical statistics, biostatistical methods, probability theory, decision theory, and distributional assumptions. Our goal is to help researchers understand their data and receive actionable information that can help drive their product through the of R&D pipeline (pre-clinical and Phase I – III) for regulatory approval.

  • Data Analysis PLATFORM

    BioRankings scientists and software engineers are developing cloud-hosted software platforms to bring complicated microbiome data analysis methods and interpretation to clinical researchers. This platform emphasizes ease of use while providing validated statistical methods and analyses focused on formal hypothesis testing, and hosting on AWS allows it to be scalable and flexible. This will support your ability to get microbiome-related products through the R&D pipeline faster and cheaper, producing results for regulatory agencies that go further than academic discovery research.

  • Statistical Analysis Plans and Study Design

    A Statistical Analysis Plan (SAP) helps your team a define a clear focus on the goals of the study. Clear testable hypotheses that define statistical tests and sample size calculations ensure you  are sufficiently powered to discover the true signal in the data while avoiding wasting time and money on underpowered studies where you are at risk of missing the signal, and overpowered studies where you waste money on unnecessary sample collection and sequencing. BioRankings® works with researchers to create an SAP that optimizes data-driven decision making for scientific planning, maximizes resources, and reduces the risk of making wrong decisions due to lack of data analysis and misinterpretation of data. We help clients design and optimize clinical trials based on budget, required sample sizes, and goals.

  • Statistical Methods Development & R Code Programming

    When no methods exist for your data analysis, working with an expert to define the problem and find a solution can be the difference between significant and actionable versus false results. BioRankings’ data scientists have the knowledge and expertise in microbiome-specific problems to narrow down the available approaches to analyzing microbiome data and find the correct way to answer your specific data question. By applying rigorous statistical testing of algorithms before they are used with your data, you are guaranteed only validated analytical tools will be used to analyze perhaps your most valuable asset, the data from your research. As an open-source company, BioRankings also provides all custom R code that can be used by your team at no cost to process and analyze your future data.

  • Clinical Trial Pipeline Strategy Consulting

    Making decisions on which products or treatments to devote time and resources can be a challenge, especially without a clear picture of the possible limitations of past and current clinical trials. BioRankings uses your current trial data and the publicly available data from comparable studies to design and run computer Monte Carlo simulations to help with decision making.

  • Data Analysis & Reports

    When it is time to move forward from basic bioinformatics into statistical analysis, it helps to have a partner that understands the nuances of microbiome data analytics. BioRankings approaches data analysis using multidisciplinary methods, drawing from a wide range of fields in analytics, including statistics, machine learning, graph theory, mathematics, and computer science. However, our core strength and focus is the use of advanced mathematical statistics, biostatistical methods, probability theory, decision theory, and distributional assumptions. Our goal is to help researchers understand their data and receive actionable information that can help drive their product through the of R&D pipeline (pre-clinical and Phase I – III) for regulatory approval.

  • Data Analysis PLATFORM

    BioRankings scientists and software engineers are developing cloud-hosted software platforms to bring complicated microbiome data analysis methods and interpretation to clinical researchers. This platform emphasizes ease of use while providing validated statistical methods and analyses focused on formal hypothesis testing, and hosting on AWS allows it to be scalable and flexible. This will support your ability to get microbiome-related products through the R&D pipeline faster and cheaper, producing results for regulatory agencies that go further than academic discovery research.