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Detecting and annotating genetic variations using the HugeSeq pipeline

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TLDR
This research presents a meta-modelling architecture that automates the very labor-intensive and therefore time-heavy and expensive and therefore expensive and expensive process of designing and implementing nanofiltration systems.
Abstract
volume 30 number 3 march 2012 nature biotechnology Liege, Belgium. 31The Babraham Institute, Cambridge, UK. 32Genomatix Software GmbH, Munich, Germany. 33Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland. 34Christian-Albrechts-Universitaet Zu Kiel, Kiel, Germany. 35Cellzome AG, Heidelberg, Germany. 36Institut National de la Sante et de la Recherche Medicale, Marseille, France. 37Weizmann Institute of Science, Rehovot, Israel. 38Barcelona Supercomputing Center, Barcelona, Spain. 39Centro Nacional de Investigaciones Oncologicas, Madrid, Spain. 40University Medical Centre Groningen, Groningen, The Netherlands. 41University of Saarland, Saarbruecken, Germany. 42Oxford Nanopore Technologies Ltd., Oxford, UK. e-mail: h.stunnenberg@ncmls.ru.nl

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Citations
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Journal ArticleDOI

Toward better understanding of artifacts in variant calling from high-coverage samples

TL;DR: By investigating false heterozygous calls in the haploid genome, the erroneous realignment in low-complexity regions and the incomplete reference genome with respect to the sample are identified as the two major sources of errors, which press for continued improvements in these two areas.
Journal ArticleDOI

A survey of tools for variant analysis of next-generation genome sequencing data

TL;DR: A comprehensive survey and evaluation of NGS tools provides a valuable guideline for human geneticists working on Mendelian disorders, complex diseases and cancers.

The Integrative Human Microbiome Project: dynamic analysis of microbiome-host omics profiles during periods of human health and disease.

Atul J. Butte, +1 more
TL;DR: The three models of microbiome-associated human conditions, on the dynamics of preterm birth, inflammatory bowel disease, and type 2 diabetes, and their underlying hypotheses are described, as well as the multi-omic data types to be collected, integrated, and distributed through public repositories as a community resource.
References
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Journal ArticleDOI

The Sequence Alignment/Map format and SAMtools

TL;DR: SAMtools as discussed by the authors implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments.
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Fast and accurate short read alignment with Burrows–Wheeler transform

TL;DR: Burrows-Wheeler Alignment tool (BWA) is implemented, a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps.
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The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data

TL;DR: The GATK programming framework enables developers and analysts to quickly and easily write efficient and robust NGS tools, many of which have already been incorporated into large-scale sequencing projects like the 1000 Genomes Project and The Cancer Genome Atlas.
Journal ArticleDOI

MapReduce: simplified data processing on large clusters

TL;DR: This paper presents the implementation of MapReduce, a programming model and an associated implementation for processing and generating large data sets that runs on a large cluster of commodity machines and is highly scalable.
Journal ArticleDOI

BEDTools: a flexible suite of utilities for comparing genomic features

TL;DR: A new software suite for the comparison, manipulation and annotation of genomic features in Browser Extensible Data (BED) and General Feature Format (GFF) format, which allows the user to compare large datasets (e.g. next-generation sequencing data) with both public and custom genome annotation tracks.
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