Statistical method to compare massive parallel sequencing pipelines
نویسندگان
چکیده
منابع مشابه
Scalable Transcriptome Preparation for Massive Parallel Sequencing
BACKGROUND The tremendous output of massive parallel sequencing technologies requires automated robust and scalable sample preparation methods to fully exploit the new sequence capacity. METHODOLOGY In this study, a method for automated library preparation of RNA prior to massively parallel sequencing is presented. The automated protocol uses precipitation onto carboxylic acid paramagnetic be...
متن کاملHigh-Resolution Characterization of Toxoplasma gondii Transcriptome with a Massive Parallel Sequencing Method†
For the last couple of years, a method that permits the collection of precise positional information of transcriptional start sites (TSSs) together with digital information of the gene-expression levels in a high-throughput manner was established. We applied this novel method, 'tss-seq', to elucidate the transcriptome of tachyzoites of the Toxoplasma gondii, which resulted in the identification...
متن کاملParallel Beamformation Method to Enhance Ultrasound Images
Contrast resolution and detail resolution are two important parameters in ultrasound imaging. This paper presents a new method to enhance these parameters, simultaneously. A parallel auxiliary beamformer has been employed whose weightings are such that an estimation of the leaked signal through the main beamformer is obtained. Then the output of main beamformer is modified according to the ...
متن کاملMassive parallel-sequencing-based hydroxyl radical probing of RNA accessibility
Hydroxyl Radical Footprinting (HRF) is a tried-and-tested method for analysis of the tertiary structure of RNA and for identification of protein footprints on RNA. The hydroxyl radical reaction breaks accessible parts of the RNA backbone, thereby allowing ribose accessibility to be determined by detection of reverse transcriptase termination sites. Current methods for HRF rely on reverse transc...
متن کاملMassive and parallel expression profiling using microarrayed single-cell sequencing
Single-cell transcriptome analysis overcomes problems inherently associated with averaging gene expression measurements in bulk analysis. However, single-cell analysis is currently challenging in terms of cost, throughput and robustness. Here, we present a method enabling massive microarray-based barcoding of expression patterns in single cells, termed MASC-seq. This technology enables both ima...
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: BMC Bioinformatics
سال: 2017
ISSN: 1471-2105
DOI: 10.1186/s12859-017-1552-9