Like it or not, biologists have to deal increasingly in informatics as their experiments generate ever larger and more complex data sets. Few laboratories have the resources to develop their own ...

Gene expression profiling has emerged as a powerful tool for biomedical research. With high-throughput microarray and RNA sequencing, it is now possible to measure gene expression rapidly and ...

Statistical and Biological Review of Transcriptome Data Made Possible by Interactive Report Although bench scientists understand the value of using gene-expression microarray technology, the full ...

As a graduate student, Eric Olson learned something about DNA microarrays: Biochip data management can be vexing. His graduate adviser abandoned a number of microarray experiments because it was too ...

A plethora of software suites and multiple classes of spectral libraries have been developed to enhance the depth and robustness of data-independent acquisition (DIA) data processing. However, how the ...

Jianwei Shuai's team and Jiahuai Han's team at Xiamen University have developed a deep autoencoder-based data-independent acquisition data analysis software for protein mass spectrometry, which ...

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning ...

Discover data intelligence solutions for big data processing and automation. Read more to explore your options. Data intelligence solutions are becoming increasingly important as businesses strive to ...

Tableau, TIBCO Data Science, IBM and Sisense are among the best software for predictive analytics. Explore their features, pricing, pros and cons to find the best option for your organization.

Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...