To measure the quality of water in a real time application, a base station and corresponding different sensor nodes are used to cover the large area. Wireless sensor network (WSN) is the simple and basic way to measure the quality of water using wireless sensor network technology powered by solar panel. This will increase the data operation performance in case of huge data management. Furthermore, to work with and process user’s time series data this paper replaces relational database system with No-SQL databases. So, this paper proposes a new protocol that generates a proof of data integrity in case of untrusted cloud storage as well as untrusted TPA. The TPA may also behave unfaithfully towards user. However, it is not enough to trust on TPA in case of sensitive data. The TPA performs integrity verification of data stored at cloud server on behalf of user. It reduces the integrity verification burden of a user. Many schemes introduce a new network entity ‘Third Party Auditor’. This paper designs a protocol to check integrity of data stored at Cloud server. The Cloud service provider may behave unfaithfully towards user in case of CSP with limited resources and many users. But, Cloud computing is in threat when number of users increased. One of the key services of Cloud service provider is providing storage capacity, which is in high demand now a day. Instead of wasting money, many organizations outsource their services from different Cloud service providers. Keywords: Sanger, DNA barcode, DNA sequencing, Paired-end assemblyĬloud computing comprises high demand as an outsourcing entity to share storage capacity, different vendors databases, a pool of software’s and different platforms. Conclusions: PIPEBAR and OverlapPER run on most operating systems and are freely available, along with supporting code and documentation, at and projects/overlapper-reads/. OverlapPER obtained the best results compared to currently used tools when merging 1,000,000 simulated paired-end reads. OverlapPER is a novel tool for overlapping paired-end reads accurately that accepts both substitution and indel errors and returns both overlapped and non-overlapped regions between a pair of reads. It is 7 times faster than Geneious and 14 times faster than SeqTrace for processing hundreds of barcoding sequences. It is accurate as the proprietary Geneious tool and faster than most popular software for barcoding analysis. Results: PIPEBAR is a command line tool to automatize the processing of large number of trace files. We also proposed a paired-end reads assembly tool, OverlapPER, which is used in sequence or independently of PIPEBAR. To reduce at most such interaction, we proposed PIPEBAR, a pipeline for DNA chromatograms analysis of Sanger platform sequencing, ensuring high quality consensus sequences along with efficient running time. DNA barcode sequence analysis is usually carried out with processes and tools that still demand a high interaction with the user or researcher. DNA barcodes allow a rapid species discovery and identification and have been widely used for taxonomic identification by targeting known gene regions that permit to discriminate these species. Background: Taxonomic identification of plants and insects is a hard process that demands expert taxonomists and time, and it’s often difficult to distinguish on morphology only.
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