Abstract: The present disclosure provides a system and method for comprehensive data synchronization management between a sponsor-company's central electronic-laboratory-notebook system and either multiple contract-research-organizations or research sites. The system features a data loader server that can be deployed on-premise or in the cloud and allows scheduling of synchronization jobs of electronic-laboratory-notebook. The data loader software communicates to the contract research organization and the sponsor company's electronic laboratory notebook and executes scheduled or on-demand jobs. The data loader software may synchronized subsequent update of the data and may automatically delete the data from the contract research organization's site once a given transfer is complete. In some implementations, the method and system is configured for automation, scalability, and high-performance operations that focused on efficiency, security, configurability, and privacy/intellectual property protection.

Abstract: The present disclosure provides a system and method for comprehensive data synchronization management between a sponsor-company's central electronic-laboratory-notebook system and either multiple contract-research-organizations or research sites. The system features a data loader server that can be deployed on-premise or in the cloud and allows scheduling of synchronization jobs of electronic-laboratory-notebook. The data loader software communicates to the contract research organization and the sponsor company's electronic laboratory notebook and executes scheduled or on-demand jobs. The data loader software may synchronized subsequent update of the data and may automatically delete the data from the contract research organization's site once a given transfer is complete. In some implementations, the method and system is configured for automation, scalability, and high-performance operations that focused on efficiency, security, configurability, and privacy/intellectual property protection.

Abstract: The invention provides an automated method for determining similarity between each of two or more template sequences and a corresponding reference sequence. The method involves the computer implemented steps of (a) verifying that one or more first read sequences corresponding to one or more first portions of each of the two or more template sequences is substantially the same as a corresponding reference sequence, wherein the first read sequences are obtained by sequencing using a defined primer, and (b) confirming that one or more second read sequences corresponding to second portions of one or more verified template sequences is substantially the same as the corresponding reference sequence, wherein the second read sequences are obtained using reference sequence primers.