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A novel NGS library preparation method to characterize native termini of fragmented DNA.
Biological and chemical DNA fragmentation generates DNA molecules with a variety of termini, including blunt ends and single-stranded overhangs. We have developed a Next Generation Sequencing (NGS) assay, XACTLY, to interrogate the termini of fragmented DNA, information traditionally lost in standard NGS library preparation methods. Here we describe the XACTLY method, showcase its sensitivity and specificity, and demonstrate its utility in in vitro experiments. The XACTLY assay is able to report relative abundances of all lengths and types (5' and 3') of single-stranded overhangs, if present, on each DNA fragment with an overall accuracy between 80-90%. In addition, XACTLY retains the sequence of each native DNA molecule after fragmentation and can capture the genomic landscape of cleavage events at single nucleotide resolution. The XACTLY assay can be applied as a novel research and discovery tool for fragmentation analyses and in cell-free DNA
The complete mitochondrial genome of the foodborne parasitic pathogen Cyclospora cayetanensis
Cyclospora cayetanensis is a human-specific coccidian parasite responsible for several food and water-related outbreaks around the world, including the most recent ones involving over 900 persons in 2013 and 2014 outbreaks in the USA. Multicopy organellar DNA such as mitochondrion genomes have been particularly informative for detection and genetic traceback analysis in other parasites. We sequenced the C. cayetanensis genomic DNA obtained from stool samples from patients infected with Cyclospora in Nepal using the Illumina MiSeq platform. By bioinformatically filtering out the metagenomic reads of non-coccidian origin sequences and concentrating the reads by targeted alignment, we were able to obtain contigs containing Eimeria-like mitochondrial, apicoplastic and some chromosomal genomic fragments. A mitochondrial genomic sequence was assembled and confirmed by cloning and sequencing targeted PCR products amplified from Cyclospora DNA using primers based on our draft assembly sequence. The results show that the C. cayetanensis mitochondrion genome is 6274 bp in length, with 33% GC content, and likely exists in concatemeric arrays as in Eimeria mitochondrial genomes. Phylogenetic analysis of the C. cayetanensis mitochondrial genome places this organism in a tight cluster with Eimeria species. The mitochondrial genome of C. cayetanensis contains three protein coding genes, cytochrome (cytb), cytochrome C oxidase subunit 1 (cox1), and cytochrome C oxidase subunit 3 (cox3), in addition to 14 large subunit (LSU) and nine small subunit (SSU) fragmented rRNA genes
The Parallelism Motifs of Genomic Data Analysis
Genomic data sets are growing dramatically as the cost of sequencing
continues to decline and small sequencing devices become available. Enormous
community databases store and share this data with the research community, but
some of these genomic data analysis problems require large scale computational
platforms to meet both the memory and computational requirements. These
applications differ from scientific simulations that dominate the workload on
high end parallel systems today and place different requirements on programming
support, software libraries, and parallel architectural design. For example,
they involve irregular communication patterns such as asynchronous updates to
shared data structures. We consider several problems in high performance
genomics analysis, including alignment, profiling, clustering, and assembly for
both single genomes and metagenomes. We identify some of the common
computational patterns or motifs that help inform parallelization strategies
and compare our motifs to some of the established lists, arguing that at least
two key patterns, sorting and hashing, are missing
Reevaluating Assembly Evaluations with Feature Response Curves: GAGE and Assemblathons
In just the last decade, a multitude of bio-technologies and software
pipelines have emerged to revolutionize genomics. To further their central
goal, they aim to accelerate and improve the quality of de novo whole-genome
assembly starting from short DNA reads. However, the performance of each of
these tools is contingent on the length and quality of the sequencing data, the
structure and complexity of the genome sequence, and the resolution and quality
of long-range information. Furthermore, in the absence of any metric that
captures the most fundamental "features" of a high-quality assembly, there is
no obvious recipe for users to select the most desirable assembler/assembly.
International competitions such as Assemblathons or GAGE tried to identify the
best assembler(s) and their features. Some what circuitously, the only
available approach to gauge de novo assemblies and assemblers relies solely on
the availability of a high-quality fully assembled reference genome sequence.
Still worse, reference-guided evaluations are often both difficult to analyze,
leading to conclusions that are difficult to interpret. In this paper, we
circumvent many of these issues by relying upon a tool, dubbed FRCbam, which is
capable of evaluating de novo assemblies from the read-layouts even when no
reference exists. We extend the FRCurve approach to cases where lay-out
information may have been obscured, as is true in many deBruijn-graph-based
algorithms. As a by-product, FRCurve now expands its applicability to a much
wider class of assemblers -- thus, identifying higher-quality members of this
group, their inter-relations as well as sensitivity to carefully selected
features, with or without the support of a reference sequence or layout for the
reads. The paper concludes by reevaluating several recently conducted assembly
competitions and the datasets that have resulted from them.Comment: Submitted to PLoS One. Supplementary material available at
http://www.nada.kth.se/~vezzi/publications/supplementary.pdf and
http://cs.nyu.edu/mishra/PUBLICATIONS/12.supplementaryFRC.pd
SOAP3-dp: Fast, Accurate and Sensitive GPU-based Short Read Aligner
To tackle the exponentially increasing throughput of Next-Generation
Sequencing (NGS), most of the existing short-read aligners can be configured to
favor speed in trade of accuracy and sensitivity. SOAP3-dp, through leveraging
the computational power of both CPU and GPU with optimized algorithms, delivers
high speed and sensitivity simultaneously. Compared with widely adopted
aligners including BWA, Bowtie2, SeqAlto, GEM and GPU-based aligners including
BarraCUDA and CUSHAW, SOAP3-dp is two to tens of times faster, while
maintaining the highest sensitivity and lowest false discovery rate (FDR) on
Illumina reads with different lengths. Transcending its predecessor SOAP3,
which does not allow gapped alignment, SOAP3-dp by default tolerates alignment
similarity as low as 60 percent. Real data evaluation using human genome
demonstrates SOAP3-dp's power to enable more authentic variants and longer
Indels to be discovered. Fosmid sequencing shows a 9.1 percent FDR on newly
discovered deletions. SOAP3-dp natively supports BAM file format and provides a
scoring scheme same as BWA, which enables it to be integrated into existing
analysis pipelines. SOAP3-dp has been deployed on Amazon-EC2, NIH-Biowulf and
Tianhe-1A.Comment: 21 pages, 6 figures, submitted to PLoS ONE, additional files
available at "https://www.dropbox.com/sh/bhclhxpoiubh371/O5CO_CkXQE".
Comments most welcom
From Pine Cones to Read Clouds: Rescaffolding the Megagenome of Sugar Pine (Pinus lambertiana).
We investigate the utility and scalability of new read cloud technologies to improve the draft genome assemblies of the colossal, and largely repetitive, genomes of conifers. Synthetic long read technologies have existed in various forms as a means of reducing complexity and resolving repeats since the outset of genome assembly. Recently, technologies that combine subhaploid pools of high molecular weight DNA with barcoding on a massive scale have brought new efficiencies to sample preparation and data generation. When combined with inexpensive light shotgun sequencing, the resulting data can be used to scaffold large genomes. The protocol is efficient enough to consider routinely for even the largest genomes. Conifers represent the largest reference genome projects executed to date. The largest of these is that of the conifer Pinus lambertiana (sugar pine), with a genome size of 31 billion bp. In this paper, we report on the molecular and computational protocols for scaffolding the P. lambertiana genome using the library technology from 10× Genomics. At 247,000 bp, the NG50 of the existing reference sequence is the highest scaffold contiguity among the currently published conifer assemblies; this new assembly's NG50 is 1.94 million bp, an eightfold increase
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