This document provides an optimized protocol for preparing inexpensive Nextera mate pair libraries with improved performance for scaffolding genomes. Key optimizations include adjusting the tagmentation reaction to maximize DNA in the target size range, performing multiple rounds of Covaris shearing to achieve a narrower insert size distribution peaked at 450-500bp, and reducing PCR cycles to 10 or less to limit duplicates. The protocol aims to improve scaffolding by focusing on read pairs that contain junction adaptors through these adjustments to yield and read length.
How to cluster and sequence an ngs library (james hadfield160416)James Hadfield
A presentation for people intersted in understanding how Illumina adapter ligation, clustering ands SBS sequencing work. Follow core-genomics http://core-genomics.blogspot.co.uk/
Making powerful science: an introduction to NGS and beyondAdamCribbs1
This slide deck is from the Botnar Research Centre introduction to NGS sequencing workshop 2021- an overview of the theoretical concepts behind sequencing are given
Making powerful science: an introduction to NGS data analysisAdamCribbs1
This slide deck is from the Botnar Research Centre introduction to NGS sequencing workshop 2021- an overview of the theoretical concepts behind sequencing data analysis are given
How to cluster and sequence an ngs library (james hadfield160416)James Hadfield
A presentation for people intersted in understanding how Illumina adapter ligation, clustering ands SBS sequencing work. Follow core-genomics http://core-genomics.blogspot.co.uk/
Making powerful science: an introduction to NGS and beyondAdamCribbs1
This slide deck is from the Botnar Research Centre introduction to NGS sequencing workshop 2021- an overview of the theoretical concepts behind sequencing are given
Making powerful science: an introduction to NGS data analysisAdamCribbs1
This slide deck is from the Botnar Research Centre introduction to NGS sequencing workshop 2021- an overview of the theoretical concepts behind sequencing data analysis are given
Next-Generation Sequencing an Intro to Tech and Applications: NGS Tech Overvi...QIAGEN
This slidedeck provides a technical overview of DNA/RNA preprocessing, template preparation, sequencing and data analysis. It covers the applications for NGS technologies, including guidelines for how to select the technology that will best address your biological question.
Bioo Scientific - Improving the Performance of SureSelectXT2 Target CaptureBioo Scientific
Agilent’s SureSelectXT2 baits are popular options for target capture because they offer offer a wide range of predesigned baits and flexible customization options which allow users to design their own capture panels. Incorporating index-specific barcode blockers during library prep allow researchers to obtain a higher percentage of on-target reads and better coverage from their SureSelectXT2 target capture experiments. The NEXTflex™ Pre- and Post- Capture Combo Kit (Agilent SureSelectXT2 Compatible) incorporates index-specific barcode blockers allowing researchers to get more useful data from their Agilent SureSelectXT2 Target Capture sequencing runs.
Why and how to clean Illumina genome sequencing reads. Includes illustrative examples, and a case where a project was saved by using Nesoni clip: to discover the cause of non-mapping reads.
NGS Targeted Enrichment Technology in Cancer Research: NGS Tech Overview Webi...QIAGEN
This slidedeck discusses the most biologically efficient, cost-effective method for successful NGS. The GeneRead DNA QuantiMIZE Kits enable determination of the optimum conditions for targeted enrichment of DNA isolated from biological samples, while the GeneRead DNAseq Panels V2 allow you to quickly and reliably deep sequence your genes of interest. Applications in translational and clinical research are highlighted.
Real-Time quantitative PCR (qPCR) is a mainstream method that is used in research and diagnostic applications for quantification of gene expression. IDT has developed a robust and affordable qPCR master mix for use with probe-based qPCR in single and multiplex assays. In this presentation, we explore a variety of applications of PrimeTime® Gene Expression Master Mix. We cover the use of PrimeTime master mix with probe based assays from IDT. We also look at the use of PrimeTime master mix in multiplex applications without the loss of sensitivity that is commonly observed. Finally, we demonstrate the unmatched stability of PrimeTime master mix under ambient temperatures, saving your research money and minimizing on shipping delays.
Next-Generation Sequencing an Intro to Tech and Applications: NGS Tech Overvi...QIAGEN
This slidedeck provides a technical overview of DNA/RNA preprocessing, template preparation, sequencing and data analysis. It covers the applications for NGS technologies, including guidelines for how to select the technology that will best address your biological question.
Bioo Scientific - Improving the Performance of SureSelectXT2 Target CaptureBioo Scientific
Agilent’s SureSelectXT2 baits are popular options for target capture because they offer offer a wide range of predesigned baits and flexible customization options which allow users to design their own capture panels. Incorporating index-specific barcode blockers during library prep allow researchers to obtain a higher percentage of on-target reads and better coverage from their SureSelectXT2 target capture experiments. The NEXTflex™ Pre- and Post- Capture Combo Kit (Agilent SureSelectXT2 Compatible) incorporates index-specific barcode blockers allowing researchers to get more useful data from their Agilent SureSelectXT2 Target Capture sequencing runs.
Why and how to clean Illumina genome sequencing reads. Includes illustrative examples, and a case where a project was saved by using Nesoni clip: to discover the cause of non-mapping reads.
NGS Targeted Enrichment Technology in Cancer Research: NGS Tech Overview Webi...QIAGEN
This slidedeck discusses the most biologically efficient, cost-effective method for successful NGS. The GeneRead DNA QuantiMIZE Kits enable determination of the optimum conditions for targeted enrichment of DNA isolated from biological samples, while the GeneRead DNAseq Panels V2 allow you to quickly and reliably deep sequence your genes of interest. Applications in translational and clinical research are highlighted.
Real-Time quantitative PCR (qPCR) is a mainstream method that is used in research and diagnostic applications for quantification of gene expression. IDT has developed a robust and affordable qPCR master mix for use with probe-based qPCR in single and multiplex assays. In this presentation, we explore a variety of applications of PrimeTime® Gene Expression Master Mix. We cover the use of PrimeTime master mix with probe based assays from IDT. We also look at the use of PrimeTime master mix in multiplex applications without the loss of sensitivity that is commonly observed. Finally, we demonstrate the unmatched stability of PrimeTime master mix under ambient temperatures, saving your research money and minimizing on shipping delays.
• Bananas (powered by AKUDA Labs) defies common industry wisdom and processes data at consistently high-throughput and low-latency, both important criteria for a streaming system to meet current and future data processing requirements.
• Spark Streaming is essentially an abstraction over the Spark Batch Processing system and is unsuitable for practical streaming systems that require high-throughput while performing computationally intensive tasks at sub-second latencies.
• Our results showed that a truly real-time system can never be one that batches data and processes them in slices. Not only is significant time spent scheduling tasks, but also there is an inherent risk of backpressure and the inflexibility of modifying time windows to withstand temporal variations in data traffic.
Introduction to Next-Generation Sequencing (NGS) TechnologyQIAGEN
The continuous evolution of NGS technology has led to an enormous diversification in NGS applications and dramatically decreased the costs to sequence a complete human genome.
In this presentation, we will discuss the following major topics:
• Basic overview of NGS sequencing technologies
• Next-generation sequencing workflow
• Spectrum of NGS applications
• QIAGEN universal NGS solutions
Dominant block guided optimal cache size estimation to maximize ipc of embedd...ijesajournal
Embedded system software is highly constrained from performance, memory footprint, energy consumption and implementing cost view point. It is always desirable to obtain better Instructions per Cycle (IPC). Instruction cache has major contribution in improving IPC. Cache memories are realized on the same chip where the processor is running. This considerably increases the system cost as well. Hence, it is required to maintain a trade-off between cache sizes and performance improvement offered. Determining the number of cache lines and size of cache line are important parameters for cache designing. The design space for cache is quite large. It is time taking to execute the given application with different cache sizes on an instruction set simulator (ISS) to figure out the optimal cache size. In this paper, a technique is proposed to identify a number of cache lines and cache line size for the L1 instruction cache that will offer best or nearly best IPC. Cache size is derived, at a higher abstraction level, from basic block analysis in the Low Level Virtual Machine (LLVM) environment. The cache size estimated from the LLVM environment is cross validated by simulating the set of benchmark applications with different cache sizes in SimpleScalar’s out-of-order simulator. The proposed method seems to be superior in terms of estimation accuracy and/or estimation time as compared to the existing methods for estimation of optimal cache size parameters (cache line size, number of cache lines).
Dominant block guided optimal cache size estimation to maximize ipc of embedd...ijesajournal
Embedded system software is highly constrained from performance, memory footprint, energy consumption
and implementing cost view point. It is always desirable to obtain better Instructions per Cycle (IPC).
Instruction cache has major contribu
tion in improving IPC. Cache memories are realized on the same chip
where the processor is running. This considerably increases the system cost as well. Hence, it is required to
maintain a trade
-
off between cache sizes and performance improvement offered.
Determining the number
of cache lines and size of cache line are important parameters for cache designing. The design space for
cache is quite large. It is time taking to execute the given application with different cache sizes on an
instruction set simula
tor (ISS) to figure out the optimal cache size. In this paper, a technique is proposed to
identify a number of cache lines and cache line size for the L1 instruction cache that will offer best or
nearly best IPC. Cache size is derived, at a higher abstract
ion level, from basic block analysis in the Low
Level Virtual Machine (LLVM) environment. The cache size estimated from the LLVM environment is cross
validated by simulating the set of benchmark applications with different cache sizes in SimpleScalar’s out
-
of
-
order simulator. The proposed method seems to be superior in terms of estimation accuracy and/or
estimation time as compared to the existing methods for estimation of optimal cache size parameters (cache
line size, number of cache lines).
Learn from influencers. Influencers play a crucial role when it comes to marketing brands. ...
Use social media tools for research. ...
Use hashtag aggregators and analytics tools. ...
Know your hashtags. ...
Find a unique hashtag. ...
Use clear hashtags. ...
Keep It short and simple. ...
Make sure the hashtag is relevant.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxMAGOTI ERNEST
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxRASHMI M G
Abnormal or anomalous secondary growth in plants. It defines secondary growth as an increase in plant girth due to vascular cambium or cork cambium. Anomalous secondary growth does not follow the normal pattern of a single vascular cambium producing xylem internally and phloem externally.
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
1. iMate Protocol (version 2.0) by GRAS – April 11, 2016
NGS and Phyloinfo in Kobe
http://www.clst.riken.jp/phylo/
1
iMate Protocol: Improved and Inexpensive NexteraTM
Mate Pair Library Preparation
Authorized by Kaori Tatsumi, Osamu Nishimura, Kazu Itomi, Chiharu Tanegashima & Shigehiro Kuraku
Genome Resource & Analysis Station (GRAS)
operated by Phyloinformatics Unit
RIKEN Center for Life Science Technologies (CLST)
Notice: A benchmark paper introducing this protocol has been published in the journal Biotechniques. When
you present or publish data based on technical guidance in this protocol, you could think about citing this
protocol at our web site and the benchmark paper (Tatsumi et al., 2015) published in Biotechniques.
This protocol outlines the modifications to the ‘Gel-plus’ version of the standard protocol for
Nextera Mate Pair Library Preparation and the logical background for them. Focusing on how to
best improve scaffolding performance, we optimized the protocol under the possibly
conservative policy that only read pairs with junction adaptors (bona fide ‘mates’) should be
passed on to scaffolding. The keys were optimizing the 1) tagmentation condition, 2) Covaris
shearing condition, and 3) sequence read length, in order to enhance the yield of libraries and
the capability of detecting the junction adaptor in reads.
Basically, we understand that 4μg of starting genomic DNA, as formulated in the standard
protocol, is enough for preparation of mate-pair libraries with mate distance of >10kb. Ideally, we
could optimize the tagmentation condition so that as much DNA as possible fall into the targeted
size range. For this purpose, perform tagment reaction with multiple conditions; for example, in
three tubes with 4, 8 and 12 μl of kit supplied tagment enzyme respectively. The tagment buffer
can be self-made [1], which leads to cost-saving, if other limiting reagents are also saved.
Size distribution of tagmented DNA molecules should be analyzed with a trustworthy method,
such as pulse field electrophoresis (e.g., PippinPulse) or the Agilent TapeStation―the Agilent
Bioanalyzer does not perform well for this purpose. With comparable results from multiple
tagment reactions, you could figure out which tagment condition allows you to retrieve the
largest amount of DNA for the targeted size range.
Like the previous tagmentation step, the amounts of the supplied reagents used in this step are
the limiting factor in terms of how many libraries can be prepared with one purchased kit. Thus,
it would be preferable to find a way to decrease the amount of kit-supplied reagents required to
perform this step. We previously suggested (in the iMate protocol versions 1.X) to perform
strand displacement with 1/4 volume of all reaction components after size selection with
BluePippin. However, we have recently found that this can result in contamination by read pairs
with untargeted mate distances. Therefore, we currently do not recommend reversing the order
of strand displacement and size selection. We are now looking into alternative ways to save kit-
supplied reagents in the strand displacement step.
Do as instructed in the standard protocol.
We use a BluePippin in this step and usually set a width size range of 4kb (for example, from 6
kb to 10 kb), although this is a matter of further consideration. After strand displacement and
size selection, it is ideal to retain at least 100 ng of DNA. Although the standard protocol
mentions ‘150-400 ng’ (on page 27), 100-200ng is realistic and still promising in our experience.
2. iMate Protocol (version 2.0) by GRAS – April 11, 2016
NGS and Phyloinfo in Kobe
http://www.clst.riken.jp/phylo/
2
Do as instructed in the standard protocol.
Shearing determines the length of library inserts, which should ideally be coordinated with the
selected sequencing read length. If you regard only reads with an adaptor junction as true mate
pairs, we propose a shearing condition which will ultimately produce a library possessing an
insert size distribution of 300 – 700bp, with the peak at 450-500bp. Note that this is markedly
different from the size distribution illustrated in the standard protocol (300-1200bp; on page 49).
To achieve our proposed size distribution, we recommend performing successive shearing via
multiple executions of the Covaris condition instructed in the standard protocol. In our
experience, shearing the genomes of different species with the same condition can result in
markedly different fragment size distributions. Thus, you need to optimize the condition
specifically for your species of interest. For one of the species we worked on, we performed as
many as 7 runs of Covaris shearing with the condition specified in the standard protocol.
You may feel an urge to perform QC with Bioanalyzer immediately after the Covaris shearing,
but it will not give you a fair assessment of shearing results unless you use a large quantity of
your sheared DNA for QC, which is undesirable. Thus, we recommend to save as much DNA as
possible at this stage, and to instead measure the size distribution later in the ‘
’ step.
Do as instructed in the standard protocol.
To get as many unique mate-pair reads as possible, it is strongly recommended to reduce PCR
cycles and avoid excessive amplification. We suggest performing no more than 10 cycles of
PCR. This warning is supported by our experience of getting a sufficient amount of products with
10 PCR cycles, even for samples that are supposed to require 15 cycles according to the
standard protocol (for example, 100ng for libraries with mate distant ranges of 6-10kb; see [2] for
details of cycle number estimates). In fact, we normally perform 8 PCR cycles, and only when
we find the yield too low after AMPure clean-up do we perform additional PCR cycling (still, no
more than 10 cycles in total). If you do not get enough products within 10 cycles, you had better
first optimize the tagment condition to increase the yield for the targeted size range.
With the illumina system, it seems that the insert lengths of many reads actually sequenced are
shorter than the most frequent insert length of a library. Thus, be sure to perform greedy size
selection with AMPure to get rid of molecules with short inserts, as instructed in the standard
protocol (x0.67 AMPure to get rid of <300bp molecules), no matter what the size distribution of
library inserts is. Modest size selection can result in high proportion of read pairs with too small
lengths, and they may not suffice for effective scaffolding.
Use Bioanalyzer or equivalent in this final QC before sequencing. Keep in mind that the size
distribution is determined mostly by shearing condition and AMPure clean-up, rather than the
choice of size range of mate distance.
3. iMate Protocol (version 2.0) by GRAS – April 11, 2016
NGS and Phyloinfo in Kobe
http://www.clst.riken.jp/phylo/
3
We use KAPA Library Quantification Kit (KK4835) in this step. Quantification should not be tricky
if the library should have an ordinary unimodal size distribution. The standard protocol says that
you need 1.5nM-20nM of the synthesized library, but we think that 2nM is enough unless the
sequencing facility you are working with requests much more than required in an actual
sequencing run.
In your first trial, it is advised to run a MiSeq for small-scale pilot sequencing to get 300nt-long
paired-end reads from prepared libraries―sequencing as many as 10 libraries per MiSeq run
should provide you with fair validation of the libraries. Obtained 300nt-long paired-end reads
could also be used for simulating which read length yields the highest proportion of reads with
junction adaptor; for example, by chopping them at 100nt, 127nt and 171nt (if sequencing with
HiSeq is planned next).
The lengths of 127nt and 171nt may sound unusual, but with Rapid Run on HiSeq one can
obtain reads of these lengths by making the best use of the extra cycles inherently assigned for
Nextera dual indexing, which we do not need in mate-pair sequencing. This trick allows you to
get 127nt and 171nt by using three and four of the TruSeq Rapid SBS Kit for 50 cycles,
respectively (see page 6 of the official manual for TruSeq Rapid SBS Kit). Please consult with
the sequencing facility that you plan to work with about the possibility of this extra-cycle
sequencing. The intention of getting 127nt or 171nt is to increase the proportion of reads with
the junction adaptor inside, but if one plans to use all obtained reads regardless of junction
adaptor inclusion, it may be wiser to respect cost-saving and go for 100nt or shorter reads.
In our experience, Rapid Run mode with v1 chemistry on older HiSeq Control Software (HCS) is
vulnerable to suboptimal library pooling, such as the ‘low plex pooling’ issue (see this document
by illumina). In the course of your mate pair sequencing, you may encounter a situation in which
you have only 4 or fewer libraries to be sequenced in a Rapid Run. In this case there is a high
chance that the base composition of index reads will be too homogeneous, and you will get
lower QV in index reads, resulting in a larger proportion of reads that failed in demultiplexing. To
reduce this unfavorable effect, you could introduce multiple indices per library in the step above
. As long as demultiplexing between libraries works out without any
overlap of indices, this strategy is supposed to produce as many valid reads as possible, with
the only drawback being the handling of more data files in post-sequencing informatics steps.
The latest versions of HCS (version 2.2.38 or higher) seems to be robust against low diversity
samples, so you are suggested to contact the sequencing facility you are working with in
advance to check if you need to be concerned with the low plex pooling issue.
We recommend to first run a recent version of FastQC (v0.11 or higher) on raw fastq files to
monitor some standard metrics, including the frequency of junction adaptor appearance along
base positions (in the ‘Adapter Content’ view newly added in FastQC v0.11).
After the primary QC, run a read processing program, such as NextClip [2], and assess PCR
duplicate rate and what proportion of reads has the junction adaptors. After read processing, be
sure to rerun FastQC on the processed fastq files, in order to confirm that junction/external
adaptors and low-quality bases were properly trimmed.
1. Wang Q, Gu L, Adey A, Radlwimmer B, Wang W, Hovestadt V, Bahr M, Wolf S, Shendure J, Eils R et al:
Tagmentation-based whole-genome bisulfite sequencing. Nature protocols 2013, 8(10):2022-2032.
2. Heavens D, Garcia Accinelli G, Clavijo B, and Derek Clark M: A method to simultaneously construct up to
12 differently sized Illumina Nextera long mate pair libraries with reduced DNA input, time, and cost.
BioTechniques 2015, 59(1):42-45.
3. Leggett RM, Clavijo BJ, Clissold L, Clark MD, Caccamo M: NextClip: an analysis and read preparation tool
for Nextera Long Mate Pair libraries. Bioinformatics 2014, 30(4):566-568.