Workflow and web application for annotating NCBI BioProject transcriptome data.

ABSTRACT: The volume of transcriptome data is growing exponentially due to rapid improvement of experimental technologies. In response, large central resources such as those of the National Center for Biotechnology Information (NCBI) are continually adapting their computational infrastructure to accommodate this large influx of data. New and specialized databases, such as Transcriptome Shotgun Assembly Sequence Database (TSA) and Sequence Read Archive (SRA), have been created to aid the development and expansion of centralized repositories. Although the central resource databases are under continual development, they do not include automatic pipelines to increase annotation of newly deposited data. Therefore, third-party applications are required to achieve that aim. Here, we present an automatic wo

SUBMITTER: Vera Alvarez R 

PROVIDER: S-EPMC5467576 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature