iQuery

Advanced interrogation that allows clinical researchers and data managers to run queries across clinical, biomarker and imaging data-sets based on natural language processing (NLP) and free text formatting techniques.

What is iQuery

Advanced interrogation that allows clinical researchers and data managers to run queries across clinical, biomarker and imaging data-sets based on natural language processing (NLP) and free text formatting techniques.

Who is it for

Study managers, clinical operation managers, clinical research coordinators, scientists, clinical investigators, clinicians, oncologists, cancer researchers, principal investigators, lab personnel, bioinformaticians

Challenges

  • Running complex bioinformatics analysis often requires knowledge of coding principles and programming acumen to design an algorithm that can convert a text-based biological question into a logical query.
  • Converting text-based question (e.g. how many subjects within a Clinical Trial X on cisplatin therapy respond to anti-PD- L1 directed therapy with a 30% reduction in tumor size) to logical queries and filters that a bioinformatics platform can understand is often beyond the scope of a traditionally trained wet-lab scientist. One can only imagine the level of complexity and programming nuance required when multi-dimensional omics data needs to be analyzed.

Solution

  • iQuery is an advanced data interrogation engine based on Natural Language Processing and free text formatting techniques. In other words, this allows clinical investigators and scientists to run detailed queries across clinical, biomarker and imaging datasets in plain English.
  • The simple UI and rule-based interface makes sure that the user can carry on with the queries without any prior programming skills.

Key Features

  • Define queries and subqueries in a simple text language – compare and correlate different type of datasets.
  • Obeys your commands in English and creates the logical framework for answering your biological questions.
  • Ability to visualize analysis in a wide range of graphical as and tabular formats.
  • The result data can be visualized by simply specifying the chart of interest.
  • The queries can be executed immediately or saved for later execution
  • The result set can be filtered to choose columns of interest and exported into a CSV file

Query Builder allows you to frame a complex biological question by simply specifying information into five basic parameters or rules. In this case the question is defined by selecting information from five columns – category, attributes, operation, values, and conditions. These logic rules can be saved for doing similar analysis on different datasets

A cytokine analysis output coded in cytokine_heatmap.csv file is displayed for a user defined query. Notice the program allows the user to specify the graphical output (chart type) using a drop-down menu.