FastProNGS: fast preprocessing of next-generation sequencing reads
نویسندگان
چکیده
منابع مشابه
Strategies and Clinical Applications of Next Generation Sequencing
Abstract DNA sequencing is one of the great valuable techniques in molecular biology, which can be used to detect the sequence of nucleotides in a DNA fragment. The high-throughput sequencing known as Next Generation Sequencing (NGS) revolutionized genomic research and molecular biology; therefore, the whole human genome can be sequenced with a low cost in several days. NGS technology is simi...
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Next-generation sequencing technology generates a huge number of reads (short sequences), which contain a vast amount of genomic data. The sequencing process, however, comes with artifacts. Preprocessing of sequences is mandatory for further downstream analysis. We present Zseq, a linear method that identifies the most informative genomic sequences and reduces the number of biased sequences, se...
متن کاملStrategies and Clinical Applications of Next Generation Sequencing
Abstract DNA sequencing is one of the great valuable techniques in molecular biology, which can be used to detect the sequence of nucleotides in a DNA fragment. The high-throughput sequencing known as Next Generation Sequencing (NGS) revolutionized genomic research and molecular biology; therefore, the whole human genome can be sequenced with a low cost in several days. NGS technology is simi...
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Recent advances in High-Throughput Sequencing (HTS) technology have greatly facilitated the researches in bioinformatics field. With the ultra-high sequencing speed and improved base-calling accuracy, Illumina Genome Analyzer is currently the most widely used platform in the field. To use the raw reads generated from the sequencing machine, the 3’ adapter sequence attached to the real read in t...
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Since the emergence of next-generation sequencing (NGS) technologies, great effort has been put into the development of tools for analysis of the short reads. In parallel, knowledge is increasing regarding biases inherent in these technologies. Here we discuss four different biases we encountered while analyzing various Illumina datasets. These biases are due to both biological and statistical ...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2019
ISSN: 1471-2105
DOI: 10.1186/s12859-019-2936-9