Observatorio de I+D+i UPM

Memorias de investigación
Tesis:
An end-to-end tool for automation of biological protocols
Año:2017
Áreas de investigación
  • Biología molecular, celular y genética,
  • Ingeniería eléctrica, electrónica y automática
Datos
Descripción
Non-reproducibility of results causes billions of dollars in losses in money, time and other resources. There are some important factors which contribute to the reproducibility problem. There is ambiguity in experimental method specification, human error introduced while conducting experiment and lack of data sharing standards. Recently, some interesting approaches have been developed to alleviate the reproducibility problem. They are the use of 1) programming languages for removing ambiguity in experimental method specification, 2) use of robotic automation for conducting experiment to reduce human error and 3) use standards and ontologies for improving data sharing. The first two solutions have met with limited success. This is because use of programming languages requires the user to have prior programming knowledge. Programming languages and Automation were used as an approach to tackle the reproducibility problem. A web-based end to end automation framework was developed called the BioBlocks Automation Framework (BAF). BAF allows users to specify their experiments (Protocol Specification App) along with the machine (wet-lab hardware) on which it would it automated (Machine Specification App), followed by generation of instructions for actual execution (Protocol Execution App). It allows users to automate their experiments without the need for any prior programming knowledge. It uses a block-based graphical interface based on MIT?s Scratch and Google?s Blockly. Using the BAF, users can specify their protocols and machines by a simple drag and drop mechanism. BioBlocks framework is a general-purpose end to end automation framework. It is not tied to a single hardware platform and the protocols specified are independent of the platform. The protocols and machines described in the framework can be easily saved, shared and modified.
Internacional
Si
ISBN
Tipo de Tesis
Doctoral
Calificación
Apto cum laude
Fecha
Esta actividad pertenece a memorias de investigación
Participantes
  • Director: Alfonso Vicente Rodriguez-Paton Aradas (UPM)
  • Autor: Vishal Gupta . (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Inteligencia Artificial (LIA)
  • Departamento: Inteligencia Artificial
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