The development of modern high-throughput instrumentation and improved core facility infrastructures leads to an accumulation of large amounts of scientific data. However, for a majority of scientists the comprehensive analysis and visualization of their data goes beyond their expertise. To reduce this hurdle, we developed a software suite called Instant Clue that helps scientists to visually analyze data and to gain insights into biological processes from their high-dimensional dataset. Instant Clue combines the power of visual and statistical analytics using a straight forward drag & drop approach making the software highly intuitive. Additionally, it offers a comprehensive portfolio of statistical tools for systematic analysis such as di...
Metabolomics research has rapidly evolved in recent years. In this data-intensive field, effective a...
Data exploration is critical to the comprehension of large biological data sets generated by high-th...
Visual analysis of high dimensional data is a challenging process. Direct visualizations work well f...
Researchers have access to an ever-growing volume of data available at multiple levels of biological...
Background: Visual exploration of gene product behavior across multiple omic datasets can pinpoint t...
The datasets being produced by high-throughput biological experiments, such as mi-croarrays, have fo...
Making scientific discoveries based on large and heterogeneous datasets is challenging. The continuo...
Visual Analytics is a new and developing field that addresses the challenges of knowledge discoverie...
As research becomes increasingly data-intensive, scientists are relying on visualization very early ...
MotivationSystems biology faces two key challenges when dealing with large amounts of disparate data...
Advances in omics technologies have generated exponentially larger volumes of biological data; howev...
The bottleneck for progress in many research areas within neuroscience has shifted from the data acq...
Abstract Background Advances in technology have led to the generation of massive amounts of complex ...
Today many biological studies rely on high-throughput techniques that yield data on thousands of sam...
Experiments involving high-throughput sequencing are widely used for analyses of chromatin function ...
Metabolomics research has rapidly evolved in recent years. In this data-intensive field, effective a...
Data exploration is critical to the comprehension of large biological data sets generated by high-th...
Visual analysis of high dimensional data is a challenging process. Direct visualizations work well f...
Researchers have access to an ever-growing volume of data available at multiple levels of biological...
Background: Visual exploration of gene product behavior across multiple omic datasets can pinpoint t...
The datasets being produced by high-throughput biological experiments, such as mi-croarrays, have fo...
Making scientific discoveries based on large and heterogeneous datasets is challenging. The continuo...
Visual Analytics is a new and developing field that addresses the challenges of knowledge discoverie...
As research becomes increasingly data-intensive, scientists are relying on visualization very early ...
MotivationSystems biology faces two key challenges when dealing with large amounts of disparate data...
Advances in omics technologies have generated exponentially larger volumes of biological data; howev...
The bottleneck for progress in many research areas within neuroscience has shifted from the data acq...
Abstract Background Advances in technology have led to the generation of massive amounts of complex ...
Today many biological studies rely on high-throughput techniques that yield data on thousands of sam...
Experiments involving high-throughput sequencing are widely used for analyses of chromatin function ...
Metabolomics research has rapidly evolved in recent years. In this data-intensive field, effective a...
Data exploration is critical to the comprehension of large biological data sets generated by high-th...
Visual analysis of high dimensional data is a challenging process. Direct visualizations work well f...