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Journal Article•DOI•

Sequencing technologies-the next generation

Michael L. Metzker1•
Baylor College of Medicine1
01 Jan 2010-Nature Reviews Genetics (Nature Publishing Group)-Vol. 11, Iss: 1, pp 31-46
TL;DR: A technical review of template preparation, sequencing and imaging, genome alignment and assembly approaches, and recent advances in current and near-term commercially available NGS instruments is presented.
Abstract: Demand has never been greater for revolutionary technologies that deliver fast, inexpensive and accurate genome information. This challenge has catalysed the development of next-generation sequencing (NGS) technologies. The inexpensive production of large volumes of sequence data is the primary advantage over conventional methods. Here, I present a technical review of template preparation, sequencing and imaging, genome alignment and assembly approaches, and recent advances in current and near-term commercially available NGS instruments. I also outline the broad range of applications for NGS technologies, in addition to providing guidelines for platform selection to address biological questions of interest.

Summary (1 min read)

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Summary

  • DNA sequencing is one of the most important platforms for study in biological systems today.
  • The high-throughput-next generation sequencing technologies delivers fast, inexpensive, and accurate genome information.
  • Next generation sequencing can produce over 100 times more data than methods based on Sanger Sequencing.
  • The next generation sequencing technologies offered from Illumina / Solexa, ABI/SOLiD, 454/Roche, and Helicos has provided unprecedented opportunity for high-throughput functional genomic research.
  • Next generation sequence technologies offer novel and rapid ways for genome-wide characterization and profiling of mRNA's, transcription factor regions, and DNA patterns.

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ABSTRACT
Conclusion and Future Work
Next Generation Sequencing
CONTACT INFO
Data Analysis Comparisons
Downstream Analysis
REFERENCES
DNA sequencing is one of the most important platforms for
study in biological systems today. The high-throughput-next
generation sequencing technologies delivers fast,
inexpensive, and accurate genome information. Next
generation sequencing can produce over 100 times more data
than methods based on Sanger Sequencing. The next
generation sequencing technologies offered from Illumina /
Solexa, ABI/SOLiD, 454/Roche, and Helicos has provided
unprecedented opportunity for high–throughput functional
genomic research. Next generation sequence technologies
offer novel and rapid ways for genome-wide characterization
and profiling of mRNA’s, transcription factor regions, and DNA
patterns.
Fig. 7) This is a plot of the frequency of each percentage covered for all nodes.
BLAST is in blue, MUMmer is in green.
Sequencing Technologies – the Next Generation,
Micahel L. Metzkerh
Next Generation Sequencing Pipeline Development and Data Analysis
Fig. 9) This is a plot of the coverage of each Node. BLAST points are blue,
MUMmer points are red.
Fig. 6) This is a plot of the frequency of each percentage covered for all contigs.
BLAST is in blue, MUMmer is in green.
•  454/Roche – 454 Life Sciences is a Biotechnology company
that is a part of Roche and based in Branford, Connecticut.
The center develops ultra-fast high-throughput DNA
sequencing methods and tools.
•  Illumina/Solexa– Illumina is a company that develops and
manufactures integrated systems for the analysis of gene
variation. Solexa was founded to develop genome
sequencing technology.
•  ABI/SOLiD - (Sequencing by Oligonucleotide Ligation and
Detection) is a next-generation DNA sequencing technology
developed by Life Technologies and has been commercially
available since 2006. This next generation technology
generates hundreds of millions to billions of small sequence
reads at one time.
•  Helicos - Helicos's technology images the extension of
individual DNA molecules using a defined primer and
individual fluorescently labeled nucleotides, which contain a
"virtual terminator" preventing incorporation of multiple
nucleotides per cycle.
Julian Pierre
1
, Jordan Taylor
2
, Amit Upadhyay
3
, Bhanu Rekepalli
3
Fig. 8) This is a plot of the coverage of each Contig. BLAST points are blue,
MUMmer points are red.
Using the coverage of
each individual contig
ID, the results for both
BLAST and MUMmer
were plotted. While
BLAST hit more contigs,
there are more contigs
with a higher coverage
that were hit by
MUMmer.
Using the data gathered
from both BLAST and
MUMmer, the frequency
of the amount covered
for each contig was
plotted. From Fig 6), it
can be inferred that
MUMmer hit more
accurately for contigs.
Fig 4) from main.g2.bx.psu.edu
Once the results were found using both the BLAST and
MUMmer search tools, we created a program to see which
sequencing tool had the most hits per contig. The total
number of contigs in the database file is 160,749 and the
total number of nodes in the query file is 552,305. BLAST
returned a total of 123,070 hits and MUMmer returned a
total of 121,829 hits. From the results, MUMmer hit more
accurately than BLAST while BLAST hit more contigs than
MUMmer.
In Next-Generation Sequencing, data analysis is one of the
most expensive processes. While the cost of genome
sequencing goes down, the cost of analyzing data is still
expensive. In the future, the “$1,000 genome will come with
a $20,000 analysis price tag.”
The same process was
done with the Nodes.
From Fig 7), it can be
inferred that BLAST hit
more accurately with
nodes. However, there
are more BLAST results
with lower coverage.
The future of next generation sequencing can be broken
down into a variety of categories such as personalized
medicine, bio fuels, climate change, and other life science
fields.
•  Personalized Medicine is a medical model that proposes
the customization of medical decision to tailor an
individual
•  Bio Fuels present a source of alternative energy.
Microalgal biofuels use algae to synthesize the fuel. In
order to optimize the process, an understanding of the
gene-function relationship of algae would prove helpful.
•  Climate change is the active study of past and future
theoretical models which uses the past climate data to
make future projections.
In conclusion, we hope to contribute the knowledge we
have gained to contribute to fields such as these.
The same process was
done with the Nodes.
While BLAST hit more
Nodes, there are more
Nodes that hit with a
lower coverage using
BLAST.
1 Texas Southern University, 2 Austin Peay State University, 3 University of Tennessee
Next Gen Sequencing uses a wide array of tools to obtain results based
on the genome sequence. The most widely used Tools are BLAST,
HMMER, and MUMmer.
•  BLAST (Basic Local Alignment Search Tool) is a multi-sequence
alignment tool developed by NIH (National Institute of Health). It is
used find similar regions in different sequences and then compare
their similarities.
•  MUMmer (Maximum Unique Matches) is a rapid alignment system
used for rapidly aligning entire genomes. It can also align incomplete
genomes and can easily handle 1000’s of contigs from a shotgun
sequencing project.
•  HMMER (Hidden Markov Modeler) is used for searching sequence
databases for homologs of protein sequences, and for making protein
sequence alignments. It implements methods using probabilistic
models called profile hidden Markov models (HMMs)
Genome Assembly
Sequence Analysis refers to
the process of subjecting a
DNA, RNA or peptide
sequence to a wide range of
analytical methods to:
•  Compare sequences to find
similarities and infer if they
are Homologous
•  To identify the features of
the sequence such as gene
structure, distribution,
introns and exons, and
regulation of gene
expression
•  Identify Sequence
differences and variations
such as mutations
Fig. 1) This is figure shows three different Next Generation Sequencing methods. [2]
Fig. 2) Taken from A Hitchhiker’s Guide to Next-Generation Sequencing, by Gabe Rudy
Fig. 3) Taken from bio.davidson.edu/courses. Shows alignment results for yeast.
Fig 5) from jcvi.org shows the mapping of chr6 of a Human Genome
Julian Pierre – julz_pierre@yahoo.com
Jordan Taylor – jtaylor74@my.apsu.edu
Amit Upadhyay – aupadhy1@utk.edu
Bhanu Rekepalli – brekapal@utk.edu
•  http://www.roche.com/research_and_development/r_d_overview/
r_d_sites.htm?id=18
•  http://www.pnas.org/content/99/6/3712/F1.expansion.html
•  http://www.yerkes.emory.edu/nhp_genomics_core/Services/
Sequencing.html
•  http://www.illumina.com/technology/solexa_technology.ilmn
•  http://blast.ncbi.nlm.nih.gov/Blast.cgi
•  https://main.g2.bx.psu.edu/u/dan/p/fastq
•  http://ori.dhhs.gov/education/products/n_illinois_u/datamanagement/
datopic.htmll
•  http://www.jcvi.org/medicago/include/images/chr6.BamHI.maps.jpg
•  Gabe Rudy, (2010) A Hitchhiker’s Guide to Next-Generation
Sequencing, :1-9, Golden Helix
•  [1] John D. McPherson, (2009) Next-Generation Gap, 6:1-4, Nature
Methods Supplement
•  [2]Michael L. Metzker, (2010) Sequencing Technologies, - the next
generation, 11:1-5, Nature Reviews
•  Md. Fakruddin,Khanjada Shahnewaj Bin mannan, (2012) Next
Generation sequencing technologies – Principles and prospects,
6:1-9, Research and Reviews in Biosciences
•  Misra N., Panda P. K., Parida B. K., Mishra B. K., (2012)
Phylogenomic Study of Lipid Genes Involved in Mocroalgal Biofuel
Production – Candidate Gene Mining and Metabolic Pathway
Analyses, Evolutionary Bioinformatics 8:545-564, doi: 10.4137/
EBO.S10159
Galaxy is an open, web-based
platform for data intensive
biomedical research. It can be
used on its own free public
server where you can perform,
reproduce, and share complete
analyses.
An example of how Galaxy
reflects its data is shown in Fig 5.
Two FASTA files related to the same nucleotide sequence
were input into both BLAST and MUMmer and the results
were parsed into tables. Then, the coverage of all hit contigs
and nodes from both programs was found.
Citations
More filters
Journal Article•DOI•
Next generation sequencing in epigenetics: Insights and challenges

[...]

Emma L. Meaburn1, Reiner Schulz2•
Birkbeck, University of London1, King's College London2
01 Apr 2012-Seminars in Cell & Developmental Biology
TL;DR: How fundamental insights gained by NGS, particularly the discovery of widespread allele-specific epigenetic variation in the human genome, have the potential to significantly contribute to the understanding of human common complex diseases is discussed.

92 citations

Cites background from "Sequencing technologies-the next ge..."

  • ...The arrival of the first practical massively parallel ‘next genration’ sequencing (NGS) platform in 2005 marked the start of a evolution in genomic research [1,2]....

    [...]

  • ...A comprehensive technical overview of each platorm is beyond the scope of this review and is covered in detail lsewhere [1,2]....

    [...]

  • ...The ability to sequence vast uantities of DNA enables entire genomes or targeted genomic ractions of many samples to be sequenced accurately and at high epth, which has lead to the development of a wide range of appliations [2]....

    [...]

Journal Article•DOI•
3D mapping and accelerated super-resolution imaging of the human genome using in situ sequencing

[...]

Huy Q. Nguyen1, Shyamtanu Chattoraj1, David Castillo, Son C. Nguyen1, Son C. Nguyen2, Guy Nir1, Antonios Lioutas1, Elliot A. Hershberg3, Nuno Martins1, Paul Reginato4, Paul Reginato1, Mohammed A. Hannan1, Brian J. Beliveau3, George M. Church1, Evan R. Daugharthy, Marc A. Marti-Renom, C.-ting Wu1 •
Harvard University1, University of Pennsylvania2, University of Washington3, Massachusetts Institute of Technology4
27 Jul 2020-Nature Methods
TL;DR: OligoFISSEQ combines Oligopaints with fluorescence in situ sequencing to enable the 3D mapping of many regions across the genome in human cells to interrogate genome organization at improved genomic resolution, and is compatible with immunochemistry and OligoSTORM for super-resolution imaging.
Abstract: There is a need for methods that can image chromosomes with genome-wide coverage, as well as greater genomic and optical resolution. We introduce OligoFISSEQ, a suite of three methods that leverage fluorescence in situ sequencing (FISSEQ) of barcoded Oligopaint probes to enable the rapid visualization of many targeted genomic regions. Applying OligoFISSEQ to human diploid fibroblast cells, we show how four rounds of sequencing are sufficient to produce 3D maps of 36 genomic targets across six chromosomes in hundreds to thousands of cells, implying a potential to image thousands of targets in only five to eight rounds of sequencing. We also use OligoFISSEQ to trace chromosomes at finer resolution, following the path of the X chromosome through 46 regions, with separate studies showing compatibility of OligoFISSEQ with immunocytochemistry. Finally, we combined OligoFISSEQ with OligoSTORM, laying the foundation for accelerated single-molecule super-resolution imaging of large swaths of, if not entire, human genomes. OligoFISSEQ combines Oligopaints with fluorescence in situ sequencing to enable the 3D mapping of many regions across the genome in human cells to interrogate genome organization at improved genomic resolution. OligoFISSEQ is compatible with immunochemistry and OligoSTORM for super-resolution imaging.

92 citations

Journal Article•DOI•
A Molecularly Defined Duplication Set for the X Chromosome of Drosophila melanogaster

[...]

Koen J. T. Venken1, Ellen Popodi2, Stacy L. Holtzman2, Karen L. Schulze1, Soo Park3, Joseph W. Carlson3, Roger A. Hoskins3, Hugo J. Bellen, Thomas C. Kaufman2 •
Baylor College of Medicine1, Indiana University2, Lawrence Berkeley National Laboratory3
01 Dec 2010-Genetics
TL;DR: In this article, a set of 408 overlapping P[acman] BAC clones were used to create small duplications (average length 88 kb) covering the 22-Mb sequenced portion of the chromosome.
Abstract: We describe a molecularly defined duplication kit for the X chromosome of Drosophila melanogaster. A set of 408 overlapping P[acman] BAC clones was used to create small duplications (average length 88 kb) covering the 22-Mb sequenced portion of the chromosome. The BAC clones were inserted into an attP docking site on chromosome 3L using ΦC31 integrase, allowing direct comparison of different transgenes. The insertions complement 92% of the essential and viable mutations and deletions tested, demonstrating that almost all Drosophila genes are compact and that the current annotations of the genome are reasonably accurate. Moreover, almost all genes are tolerated at twice the normal dosage. Finally, we more precisely mapped two regions at which duplications cause diplo-lethality in males. This collection comprises the first molecularly defined duplication set to cover a whole chromosome in a multicellular organism. The work presented removes a long-standing barrier to genetic analysis of the Drosophila X chromosome, will greatly facilitate functional assays of X-linked genes in vivo, and provides a model for functional analyses of entire chromosomes in other species.

92 citations

Journal Article•DOI•
Exome sequencing reveals a novel Moroccan founder mutation in SLC19A3 as a new cause of early-childhood fatal Leigh syndrome

[...]

Mike Gerards1, Rick Kamps1, Jo van Oevelen1, Iris B W Boesten1, Eveline Jongen1, Bart de Koning1, Hans R. Scholte2, Isabel B. de Angst2, Kees Schoonderwoerd2, Abdelaziz Sefiani, Ilham Ratbi, Wouter Coppieters3, Latifa Karim3, René de Coo2, Bianca J.C. van den Bosch1, Hubert J.M. Smeets1 •
Maastricht University Medical Centre1, Erasmus University Rotterdam2, University of Liège3
18 Feb 2013-Brain
TL;DR: The data shows that SLC19A3 is a new candidate for mutation screening in patients with Leigh syndrome, who might benefit from high doses of thiamine and/or biotin, and especially, Moroccan patients withLeigh syndrome should be tested for the c.20C>A founder mutation in SLC 19A3.
Abstract: Leigh syndrome is an early onset, often fatal progressive neurodegenerative disorder caused by mutations in the mitochondrial or nuclear DNA. Until now, mutations in more than 35 genes have been reported to cause Leigh syndrome, indicating an extreme genetic heterogeneity for this disorder, but still only explaining part of the cases. The possibility of whole exome sequencing enables not only mutation detection in known candidate genes, but also the identification of new genes associated with Leigh syndrome in small families and isolated cases. Exome sequencing was combined with homozygosity mapping to identify the genetic defect in a Moroccan family with fatal Leigh syndrome in early childhood and specific magnetic resonance imaging abnormalities in the brain. We detected a homozygous nonsense mutation (c.20C>A; p.Ser7Ter) in the thiamine transporter SLC19A3. In vivo overexpression of wild-type SLC19A3 showed an increased thiamine uptake, whereas overexpression of mutant SLC19A3 did not, confirming that the mutation results in an absent or non-functional protein. Seventeen additional patients with Leigh syndrome were screened for mutations in SLC19A3 using conventional Sanger sequencing. Two unrelated patients, both from Moroccan origin and one from consanguineous parents, were homozygous for the same p.Ser7Ter mutation. One of these patients showed the same MRI abnormalities as the patients from the first family. Strikingly, patients receiving thiamine had an improved life-expectancy. One patient in the third family deteriorated upon interruption of the thiamine treatment and recovered after reinitiating. Although unrelated, all patients came from the province Al Hoceima in Northern Morocco. Based on the recombination events the mutation was estimated to have occurred 1250-1750 years ago. Our data shows that SLC19A3 is a new candidate for mutation screening in patients with Leigh syndrome, who might benefit from high doses of thiamine and/or biotin. Especially, Moroccan patients with Leigh syndrome should be tested for the c.20C>A founder mutation in SLC19A3.

92 citations

Cites background from "Sequencing technologies-the next ge..."

  • ...Recently, new sequencing techniques have been developed enabling the sequencing of large packages of candidate genes, the whole protein-coding region (exome) or even the whole genome at higher rate and at lower costs (Metzker, 2010)....

    [...]

Journal Article•DOI•
Deep sequencing of evolving pathogen populations: applications, errors, and bioinformatic solutions

[...]

Kerensa McElroy1, Torsten Thomas1, Fabio Luciani1•
University of New South Wales1
15 Jan 2014
TL;DR: Current approaches to overcoming bioinformatic challenges of deep sequencing, in particular methods for detecting low frequency variants in the context of sequencing error and reconstructing individual haplotypes from short reads are summarised.
Abstract: Deep sequencing harnesses the high throughput nature of next generation sequencing technologies to generate population samples, treating information contained in individual reads as meaningful. Here, we review applications of deep sequencing to pathogen evolution. Pioneering deep sequencing studies from the virology literature are discussed, such as whole genome Roche-454 sequencing analyses of the dynamics of the rapidly mutating pathogens hepatitis C virus and HIV. Extension of the deep sequencing approach to bacterial populations is then discussed, including the impacts of emerging sequencing technologies. While it is clear that deep sequencing has unprecedented potential for assessing the genetic structure and evolutionary history of pathogen populations, bioinformatic challenges remain. We summarise current approaches to overcoming these challenges, in particular methods for detecting low frequency variants in the context of sequencing error and reconstructing individual haplotypes from short reads.

92 citations

Cites background from "Sequencing technologies-the next ge..."

  • ...Next generation DNA sequencing (NGS) is characterised by extremely parallel, cost efficient sequencing of genomic fragments, generating hundreds of thousands to hundreds of millions of short ‘reads’ in a single run [1]....

    [...]

References
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RNA-Seq: a revolutionary tool for transcriptomics

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Zhong Wang1, Mark Gerstein1, Michael Snyder1•
Yale University1
01 Jan 2009-Nature Reviews Genetics
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"Sequencing technologies-the next ge..." refers background in this paper

  • ...For example, in gene-expression studies microarrays are now being replaced by seq-based methods , which can identify and quantify rare transcripts without prior knowledge of a particular gene and can provide information regarding alternative splicing and sequence variation in identified gene...

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Daniel R. Zerbino1, Ewan Birney1•
European Bioinformatics Institute1
01 May 2008-Genome Research
TL;DR: Velvet represents a new approach to assembly that can leverage very short reads in combination with read pairs to produce useful assemblies and is in close agreement with simulated results without read-pair information.
Abstract: We have developed a new set of algorithms, collectively called "Velvet," to manipulate de Bruijn graphs for genomic sequence assembly. A de Bruijn graph is a compact representation based on short words (k-mers) that is ideal for high coverage, very short read (25-50 bp) data sets. Applying Velvet to very short reads and paired-ends information only, one can produce contigs of significant length, up to 50-kb N50 length in simulations of prokaryotic data and 3-kb N50 on simulated mammalian BACs. When applied to real Solexa data sets without read pairs, Velvet generated contigs of approximately 8 kb in a prokaryote and 2 kb in a mammalian BAC, in close agreement with our simulated results without read-pair information. Velvet represents a new approach to assembly that can leverage very short reads in combination with read pairs to produce useful assemblies.

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Journal Article•DOI•
Genome sequencing in microfabricated high-density picolitre reactors

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Marcel Margulies, Michael Egholm, William E. Altman, Said Attiya, Joel S. Bader, Lisa A. Bemben, Jan Berka, Michael S. Braverman, Yi-Ju Chen, Zhoutao Chen, Scott Dewell, Lei Du, J. M. Fierro, Xavier V. Gomes, Brian C. Godwin, Wen He, Scott Edward Helgesen, Chun Heen Ho, Gerard P. Irzyk, Szilveszter C. Jando, Maria L. I. Alenquer, Thomas P. Jarvie, Kshama B. Jirage, Jong-Bum Kim, James R. Knight, Janna R. Lanza, John H. Leamon, Steven Lefkowitz, Ming Lei, Jing Li, Kenton Lohman, Hong Lu, Vinod Makhijani, Keith Mcdade, Michael P. McKenna, Eugene W. Myers1, Elizabeth Nickerson, John Nobile, Ramona Plant, Bernard P. Puc, Michael T. Ronan, George T. Roth, Gary J. Sarkis, Jan Fredrik Simons, John Simpson, Maithreyan Srinivasan, Karrie R. Tartaro, Alexander Tomasz2, Kari A. Vogt, Greg A. Volkmer, Shally H. Wang, Yong Wang, Michael P. Weiner3, Pengguang Yu, Richard F. Begley, Jonathan M. Rothberg •
University of California, Berkeley1, Rockefeller University2, Rothberg Institute For Childhood Diseases3
15 Sep 2005-Nature
TL;DR: A scalable, highly parallel sequencing system with raw throughput significantly greater than that of state-of-the-art capillary electrophoresis instruments with 96% coverage at 99.96% accuracy in one run of the machine is described.
Abstract: The proliferation of large-scale DNA-sequencing projects in recent years has driven a search for alternative methods to reduce time and cost. Here we describe a scalable, highly parallel sequencing system with raw throughput significantly greater than that of state-of-the-art capillary electrophoresis instruments. The apparatus uses a novel fibre-optic slide of individual wells and is able to sequence 25 million bases, at 99% or better accuracy, in one four-hour run. To achieve an approximately 100-fold increase in throughput over current Sanger sequencing technology, we have developed an emulsion method for DNA amplification and an instrument for sequencing by synthesis using a pyrosequencing protocol optimized for solid support and picolitre-scale volumes. Here we show the utility, throughput, accuracy and robustness of this system by shotgun sequencing and de novo assembly of the Mycoplasma genitalium genome with 96% coverage at 99.96% accuracy in one run of the machine.

8,434 citations

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Origins and Mechanisms of miRNAs and siRNAs

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Richard W. Carthew1, Erik J. Sontheimer1•
Northwestern University1
20 Feb 2009-Cell
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Chris P. Ponting1, Peter L. Oliver1, Wolf Reik2•
University of Oxford1, University of Cambridge2
20 Feb 2009-Cell
TL;DR: The evolution of long noncoding RNAs and their roles in transcriptional regulation, epigenetic gene regulation, and disease are reviewed.

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