Motivation: Analysis of RNA sequencing (RNA-Seq) data in human saliva is challenging. Lack of standardization and unification of the bioinformatic procedures undermines saliva's diagnostic potential. Thus, it motivated us to perform this study. Results: We applied principal pipelines for bioinformatic analysis of small RNA-Seq data of saliva of 98 healthy Korean volunteers including either direct or indirect mapping of the reads to the human genome using Bowtie1. Analysis of alignments to exogenous genomes by another pipeline revealed that almost all of the reads map to bacterial genomes. Thus, salivary exRNA has fundamental properties that warrant the design of unique additional steps while performing the bioinformatic analysis. Our pipelines can serve as potential guidelines for processing of RNA-Seq data of human saliva. Availability and implementation: Processing and analysis results of the experimental data generated by the exceRpt (v4.6.3) small RNA-seq pipeline (github.gersteinlab.org/exceRpt) are available from exRNA atlas (exrna-atlas.org). Alignment to exogenous genomes and their quantification results were used in this paper for the analyses of small RNAs of exogenous origin. Contact: [email protected].

This paper discusses new approach to materialize for automation test method for automotive embedded software. The total automotive embedded software is changing frequently whenever the specification for hardware is modified. These cause to spend time and cost. To resolve these problems, AUTOSAR which consists of the standardized interfaces, structures and communication method was introduced. AUTOSAR has Client-Server mechanism in order to communicate effectively. This means that automotive systems have to be controlled by embedded software simultaneously through CAN and Serial communication method. And the AUTOSAR proposes software architecture and communication method to improve the quality of automotive embedded software. This paper suggests an automotive HVAC system based on AUTOSAR to testify the propriety as a standard architecture, and proposes automation test method and technique. Finally, AUTOSAR is demonstrated as standardized software architecture and communication method, and we suggest automation testing technique to enhance the accuracy and reduce the time and cost to testify for automotive embedded software.