SeQual: Big Data Tool to Perform Quality Control and Data Preprocessing of Large NGS Datasets
نویسندگان
چکیده
منابع مشابه
Big Data Quality: From Content to Context
Over the last 20 years, and particularly with the advent of Big Data and analytics, the research area around Data and Information Quality (DIQ) is still a fast growing research area. There are many views and streams in DIQ research, generally aiming at improving the effectiveness of decision making in organizations. Although there are a lot of researches aimed at clarifying the role of BIG data...
متن کاملQuality control and preprocessing of metagenomic datasets
SUMMARY Here, we present PRINSEQ for easy and rapid quality control and data preprocessing of genomic and metagenomic datasets. Summary statistics of FASTA (and QUAL) or FASTQ files are generated in tabular and graphical form and sequences can be filtered, reformatted and trimmed by a variety of options to improve downstream analysis. AVAILABILITY AND IMPLEMENTATION This open-source applicati...
متن کاملFrom Data Quality to Big Data Quality
This article investigates the evolution of data quality issues from traditional structured data managed in relational databases to Big Data. In particular, The paper examines the nature of the relationship between Data Quality and several research coordinates that are relevant in Big Data, such as the variety of data types, data sources and application domains, focusing on maps, semistructured ...
متن کاملPerspectives of Big Data Quality in Smart Service Ecosystems (Quality of Design and Quality of Conformance)
Despite the increasing importance of data and information quality, current research related to Big Data quality is still limited. It is particularly unknown how to apply previous data quality models to Big Data. In this paper we review Big Data quality research from several perspectives and apply a known quality model with its elements of conformance to specification and design in the context o...
متن کاملBig data preprocessing: methods and prospects
The massive growth in the scale of data has been observed in recent years being a key factor of the Big Data scenario. Big Data can be defined as high volume, velocity and variety of data that require a new high-performance processing. Addressing big data is a challenging and time-demanding task that requires a large computational infrastructure to ensure successful data processing and analysis...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.3015016