Evidence map›Paper›PMID 28446139›Full record

ArticleBMC bioinformatics2017

De novo assembly of highly polymorphic metagenomic data using in situ generated reference sequences and a novel BLAST-based assembly pipeline.

You-Yu Lin, Chia-Hung Hsieh, Jiun-Hong Chen, Xuemei Lu, Jia-Horng Kao, Pei-Jer Chen, Ding-Shinn Chen, Hurng-Yi Wang

Abstract read
In one paragraph

Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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12citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

You-Yu LinDepartment of Life Science, National Taiwan University, Taipei, 106, Taiwan. youylin@ntu.edu.tw.ORCID http://orcid.org/0000-0002-2771-2724
Chia-Hung HsiehDepartment of Forestry and Nature Conservation, Chinese Culture University, Taipei, 111, Taiwan.
Jiun-Hong ChenDepartment of Life Science, National Taiwan University, Taipei, 106, Taiwan.
Xuemei LuLaboratory of Disease Genomics and Individualized Medicine, Beijing Institute of Genomics, the Chinese Academy of Sciences, Beijing, 100101, China.
Jia-Horng KaoGraduate Institute of Clinical Medicine, National Taiwan University, Taipei, 100, Taiwan.
Pei-Jer ChenGraduate Institute of Clinical Medicine, National Taiwan University, Taipei, 100, Taiwan.
Ding-Shinn ChenGraduate Institute of Clinical Medicine, National Taiwan University, Taipei, 100, Taiwan.
Hurng-Yi WangGraduate Institute of Clinical Medicine, National Taiwan University, Taipei, 100, Taiwan. hurngyi@ntu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe accuracy of metagenomic assembly is usually compromised by high levels of polymorphism due to divergent reads from the same genomic region recognized as different loci when sequenced and assembled together. A viral quasispecies is a group of abundant and diversified genetically related viruses found in a single carrier. Current mainstream assembly methods, such as Velvet and SOAPdenovo, were not originally intended for the assembly of such metagenomics data, and therefore demands for new methods to provide accurate and informative assembly results for metagenomic data.

resultsIn this study, we present a hybrid method for assembling highly polymorphic data combining the partial de novo-reference assembly (PDR) strategy and the BLAST-based assembly pipeline (BBAP). The PDR strategy generates in situ reference sequences through de novo assembly of a randomly extracted partial data set which is subsequently used for the reference assembly for the full data set. BBAP employs a greedy algorithm to assemble polymorphic reads. We used 12 hepatitis B virus quasispecies NGS data sets from a previous study to assess and compare the performance of both PDR and BBAP. Analyses suggest the high polymorphism of a full metagenomic data set leads to fragmentized de novo assembly results, whereas the biased or limited representation of external reference sequences included fewer reads into the assembly with lower assembly accuracy and variation sensitivity. In comparison, the PDR generated in situ reference sequence incorporated more reads into the final PDR assembly of the full metagenomics data set along with greater accuracy and higher variation sensitivity. BBAP assembly results also suggest higher assembly efficiency and accuracy compared to other assembly methods. Additionally, BBAP assembly recovered HBV structural variants that were not observed amongst assembly results of other methods. Together, PDR/BBAP assembly results were significantly better than other compared methods.

conclusionsBoth PDR and BBAP independently increased the assembly efficiency and accuracy of highly polymorphic data, and assembly performances were further improved when used together. BBAP also provides nucleotide frequency information. Together, PDR and BBAP provide powerful tools for metagenomic data studies.

Indexed as

AlgorithmsDNA, ViralHepatitis B virusHigh-Throughput Nucleotide SequencingMetagenomicsSoftwareDNA, ViralAssembly pipelineHepatitis B virusMetagenomicsNext generation sequencingSequence assembly

Identifiers

PMID28446139
PMCPMC5406902

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.