4. Analyze next-generation sequencing data Each NGS experiment generates large quantities of complex data consisting of short DNA reads. Although each technology platform has its own algorithms and data analysis tools, they share a similar analysis ‘...
Next Generation Sequencing Data AnalysisRanjeev HariSuhanya ParthasarathyEncyclopedia of Bioinformatics and Computational Biology
Next Generation Sequencing is a technology in which nucleotides are added in parallel to the copying of a DNA strand. When nucleotides are incorporated into the growing DNA strand, a signal is generated that corresponds to the nucleotide type and positio
Sequencing malaria parasites from low density infections in small amounts of dried blood is important for large-scale genomic surveillance. Here, the authors develop and validate a highly multiplexed droplet digital PCR-based amplicon deep sequencing assay and apply it to data from Zanzibar, Tanzania...
Next-generation sequencing refers to non-Sanger-based high-throughput DNA sequencing technologies. Millions or billions of DNA strands can be sequenced in parallel, yielding substantially more throughput and minimizing the need for the fragment-cloning methods that are often used in Sanger sequencing of...
angsdsequencingdatageneration下一代korneliussen Korneliussenetal.BMCBioinformatics2014,15:356 http://.biomedcentral/1471-2105/15/356 SOFTWAREOpenAccess ANGSD:AnalysisofNextGeneration SequencingData ThorfinnSandKorneliussen 1* ,AndersAlbrechtsen 2 andRasmusNielsen 1,3 Abstract Background:High-throughputDNAsequenc...
Next-generation sequencing (NGS) technologies have revolutionized the field of genomics and provided unprecedented opportunities for high-throughput analysis at the levels of genomics, transcriptomics and epigenetics. However, the cost of NGS is still prohibitive for many laboratories. It is imperative to...
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 tha...
High-throughput DNA sequencing technologies are generating vast amounts of data. Fast, flexible and memory efficient implementations are needed in order to facilitate analyses of thousands of samples simultaneously. We present a multithreaded program sui
Data Analysis for Next Generation Sequencing: An Introduction for the Pathology LaboratoryData Analysis for Next Generation Sequencing: An Introduction for the Pathology LaboratoryNext Generation Sequencing (NGS) is becoming a common and versatile tool for biological and medical research. NGS, with its ...