Готові списки джерел за темами / Lllumina Next Gen sequencing

Добірка наукової літератури з теми "Lllumina Next Gen sequencing"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 28 січня 2023

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Статті в журналах з теми "Lllumina Next Gen sequencing"

1

Bird, Christianne. "Next-Gen Sequencing Services." Genetic Engineering & Biotechnology News 32, no. 9 (May 2012): 16. http://dx.doi.org/10.1089/gen.32.9.05.

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2

Labant, MaryAnn. "What's Next for Next-Gen Sequencing?" Clinical OMICs 2, no. 2 (February 2015): 14–17. http://dx.doi.org/10.1089/clinomi.02.02.08.

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Labant, MaryAnn. "What's Next for Next-Gen Sequencing?" Genetic Engineering & Biotechnology News 35, no. 3 (February 2015): 1, 16–19. http://dx.doi.org/10.1089/gen.35.03.02.

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Bready, Barrett, and John Thompson. "Future of Next-Gen Sequencing." Genetic Engineering & Biotechnology News 34, no. 7 (April 1, 2014): 10–11. http://dx.doi.org/10.1089/gen.34.07.05.

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Liszewski, Kathy. "The Next Next Thing in Sequencing." Genetic Engineering & Biotechnology News 36, no. 1 (January 2016): 1, 26–27. http://dx.doi.org/10.1089/gen.36.01.02.

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Roberts, Josh P. "Creative Approaches to Next-Gen Sequencing." Genetic Engineering & Biotechnology News 33, no. 5 (March 2013): 23–25. http://dx.doi.org/10.1089/gen.33.5.13.

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Baker, Shawn C. "Next-Generation Sequencing Challenges." Genetic Engineering & Biotechnology News 37, no. 3 (February 2017): 1, 14–15, 17. http://dx.doi.org/10.1089/gen.37.03.01.

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Baker, Shawn C. "Advances in Next-Generation Sequencing." Genetic Engineering & Biotechnology News 36, no. 17 (October 2016): 1, 20–22. http://dx.doi.org/10.1089/gen.36.17.01.

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9

Potera, Carol. "CLC Bio Tackles Next-Gen Sequencing Data." Genetic Engineering & Biotechnology News 31, no. 1 (January 2011): 14–15. http://dx.doi.org/10.1089/gen.31.1.05.

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Russell, John. "Data Analysis: Today's Next-Gen Sequencing Imperative." Genetic Engineering & Biotechnology News 33, no. 15 (September 2013): 26, 27, 29. http://dx.doi.org/10.1089/gen.33.15.12.

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Дисертації з теми "Lllumina Next Gen sequencing"

1

Stromberg, Michael Peter. "Enabling high-throughput sequencing data analysis with MOSAIK." Thesis, Boston College, 2010. http://hdl.handle.net/2345/1332.

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Thesis advisor: Gabor T. Marth
During the last few years, numerous new sequencing technologies have emerged that require tools that can process large amounts of read data quickly and accurately. Regardless of the downstream methods used, reference-guided aligners are at the heart of all next-generation analysis studies. I have developed a general reference-guided aligner, MOSAIK, to support all current sequencing technologies (Roche 454, Illumina, Applied Biosystems SOLiD, Helicos, and Sanger capillary). The calibrated alignment qualities calculated by MOSAIK allow the user to fine-tune the alignment accuracy for a given study. MOSAIK is a highly configurable and easy-to-use suite of alignment tools that is used in hundreds of labs worldwide. MOSAIK is an integral part of our genetic variant discovery pipeline. From SNP and short-INDEL discovery to structural variation discovery, alignment accuracy is an essential requirement and enables our downstream analyses to provide accurate calls. In this thesis, I present three major studies that were formative during the development of MOSAIK and our analysis pipeline. In addition, I present a novel algorithm that identifies mobile element insertions (non-LTR retrotransposons) in the human genome using split-read alignments in MOSAIK. This algorithm has a low false discovery rate (4.4 %) and enabled our group to be the first to determine the number of mobile elements that differentially occur between any two individuals
Thesis (PhD) — Boston College, 2010
Submitted to: Boston College. Graduate School of Arts and Sciences
Discipline: Biology
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2

Lew, Ryan. "Using next-gen sequencing to assist a conservation hatchery| A SNP panel for the genetic management of endangered Delta Smelt." Thesis, University of California, Davis, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1590837.

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The federally threatened Delta Smelt has been cultured in a conservation hatchery since 2008 in response to significant declines in the wild. The refuge relies on accurate, efficacious, and repeatable molecular techniques to help maintain the population's overall genetic diversity and minimize inbreeding. We have created a panel of single nucleotide polymorphisms (SNPs) to support broodstock pedigree reconstruction and improve upon current genetic management with microsatellites. Properly implemented, a SNP panel is a more powerful, repeatable, and higher-throughput method. Its use will streamline the management of the captive Delta Smelt population, which is performed in near real-time throughout the spawning season (February - May). For the SNP discovery, we sequenced 27 broodstock samples from the 2012 spawn using restriction site associated DNA sequencing (RAD-seq). We then created a linkage map by genotyping three single pair crosses at 2317 newly discovered loci with RAD-seq. We successfully mapped 1123 loci and identified 26 linkage groups. Fluidigm SNPtype genotyping assays were developed for 104 mapped loci selected for minor allele frequency (>20%), neutrality (Hardy-Weinberg equilibrium), and marker location. Candidates for the genotyping panel were evaluated on a 96x96 Integrated Fluidic Circuit and tested for marker accuracy and ability to accurately assign parentage. When applied in conjunction with mating records, we found that a panel of 24 independent SNPs successfully assigned 100% of tested offspring if all samples were genotyped at a minimum of 18 loci.

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3

Sarma, Mimosa. "Microfluidic platforms for Transcriptomics and Epigenomics." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/90294.

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Анотація:
A cell, the building block of all life, stores a plethora of information in its genome, epigenome, and transcriptome which needs to be analyzed via various Omic studies. The heterogeneity in a seemingly similar group of cells is an important factor to consider and it could lead us to better understand processes such as cancer development and resistance to treatment, fetal development, and immune response. There is an ever growing demand to be able to develop more sensitive, accurate and robust ways to study Omic information and to analyze subtle biological variation between samples even with limited starting material obtained from a single cell. Microfluidics has opened up new and exciting possibilities that have revolutionized how we study and manipulate the contents of the cell like the DNA, RNA, proteins, etc. Microfluidics in conjunction with Next Gen Sequencing has provided ground-breaking capabilities for handling small sample volumes and has also provided scope for automation and multiplexing. In this thesis, we discuss a number of platforms for developing low-input or single cell Omic technologies. The first part talks about the development of a novel microfluidic platform to carry out single-cell RNA-sequencing in a one-pot method with a diffusion-based reagent swapping scheme. This platform helps to overcome the limitations of conventional microfluidic RNA seq methods reported in literature that use complicated multiple-chambered devices. It also provides good quality data that is comparable to state-of-the-art scRNA-seq methods while implementing a simpler device design that permits multiplexing. The second part talks about studying the transcriptome of innate leukocytes treated with varying levels of LPS and using RNA-seq to observe how innate immune cells undergo epigenetic reprogramming to develop phenotypes of memory cells. The third part discusses a low-cost alternative to produce tn5 enzyme which low-cost NGS studies. And finally, we discuss a microfluidic approach to carrying out low-input epigenomic studies for studying transcription factors. Today, single-cell or low-input Omic studies are rapidly moving into the clinical setting to enable studies of patient samples for personalized medicine. Our approaches and platforms will no doubt be important for transcriptomic and epigenomic studies of scarce cell samples under such settings.
Doctor of Philosophy
This is the era of personalized medicine which means that we are no longer looking at one-size-fits-all therapies. We are rather focused on finding therapies that are tailormade to every individual’s personal needs. This has become more and more essential in the context of serious diseases like cancer where therapies have a lot of side-effects. To provide tailor-made therapy to patients, it is important to know how each patient is different from another. This difference can be found from studying how the individual is unique or different at the cellular level i.e. by looking into the contents of the cell like DNA, RNA, and chromatin. In this thesis, we discussed a number of projects which we can contribute to advancement in this field of personalized medicine. Our first project, MID-RNA-seq offers a new platform for studying the information contained in the RNA of a single cell. This platform has enough potential to be scaled up and automated into an excellent platform for studying the RNA of rare or limited patient samples. The second project discussed in this thesis involves studying the RNA of innate immune cells which defend our bodies against pathogens. The RNA data that we have unearthed in this project provides an immense scope for understanding innate immunity. This data provides our biologist collaborators the scope to test various pathways in innate immune cells and their roles in innate immune modulation. Our third project discusses a method to produce an enzyme called ‘Tn5’ which is necessary for studying the sequence of DNA. This enzyme which is commercially available has a very high cost associated with it but because we produced it in the lab, we were able to greatly reduce costs. The fourth project discussed involves the study of chromatin structure in cells and enables us to understand how our lifestyle choices change the expression or repression of genes in the cell, a study called epigenetics. The findings of this study would enable us to study epigenomic profiles from limited patient samples. Overall, our projects have enabled us to understand the information from cells especially when we have limited cell numbers. Once we have all this information we can compare how each patient is different from others. The future brings us closer to putting this into clinical practice and assigning different therapies to patients based on such data.
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Burr, Andrew John. "PISEQ ANALYIS IDENTIFIES NOVEL PIRNA IN SOMATIC CELLS THROUGH RNA-SEQ GUIDED FUNCTIONAL ANNOTATION AND GENOMIC ANALYSIS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1501150746104887.

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Worch, Lisa [Verfasser], Ole [Akademischer Betreuer] Ammerpohl, and Norbert [Gutachter] Arnold. "Validierung von durch Next Generation Sequencing ermittelten Mutationen im Androgenrezeptor-Gen und in potenziellen Co-Faktoren des Androgenrezeptors sowie exemplarische funktionelle Betrachtungen / Lisa Worch ; Gutachter: Norbert Arnold ; Betreuer: Ole Ammerpohl." Kiel : Universitätsbibliothek Kiel, 2019. http://d-nb.info/1203624743/34.

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Shen, Yingjia. "Genome wide studies of mRNA 3'-end processing signals and alternative polyadenylation in plants." Miami University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=miami1260664627.

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Fujimoto, Masaki Stanley. "Graph-Based Whole Genome Phylogenomics." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8461.

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Анотація:
Understanding others is a deeply human urge basic in our existential quest. It requires knowing where someone has come from and where they sit amongst peers. Phylogenetic analysis and genome wide association studies seek to tell us where we’ve come from and where we are relative to one another through evolutionary history and genetic makeup. Current methods do not address the computational complexity caused by new forms of genomic data, namely long-read DNA sequencing and increased abundances of assembled genomes, that are becoming evermore abundant. To address this, we explore specialized data structures for storing and comparing genomic information. This work resulted in the creation of novel data structures for storing multiple genomes that can be used for identifying structural variations and other types of polymorphisms. Using these methods we illuminate the genetic history of organisms in our efforts to understand the world around us.
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8

Stirling, Erinne. "Nutrient Cycling Between Litters and Soil after Fire in Native Woodland and Pinus radiata Plantations." Thesis, 2019. http://hdl.handle.net/2440/119897.

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Fire can change both the quantity and nature of soil organic matter during the event and can affect organic matter inputs after the event. These changes may affect the microbial biomass, nutrient availability and nutrient cycling, and may have flow on effects on soil carbon stocks and cycling. Post-fire effects may also affect success of established (re-sprouting) and recently recruited plants. In particular, changed organic matter inputs, such as the formation of a post-fire litter layer, represent a significant unknown in soil and fire ecology. The aims of the work presented in this thesis focus on the effects of fire on microbial nutrient limitation, microbial decomposition of pre- and post-fire litters, and the effects of thermal alteration of pine needles on soil nitrogen cycling and the soil microbial biomass. The materials for this work were generated from forestry reserves that had recently been exposed to an uncontrolled fire. These reserves included Eucalyptus woodlands (‘native’) and Pinus radiata plantations (‘pine’); sampling in all of these reserves initially occurred four months after the fire with further samples collected as described in Chapters 2, 3, and 6. To address the knowledge gaps, a series of field activities and experiments were conducted including: several soil surveys to determine temporal change in the soils after the fire; a study to determine microbial nutrient limitation in burnt and not burnt soils; a study to determine decomposition dynamics of native and pine litters; a study to determine decomposition of pine litters and char during a 3 month exposure; a study using thermally altered fresh pine needles to explore nitrogen cycling; and a soil microbiome study (Next Gen sequencing) using four amendments from the thermal alteration study to determine microbial responses to the post fire litter layer. The results of these field activities and laboratory experiments indicated that the forestry reserve soils were not strongly affected by fire when nutrient availability and microbial nutrient limitation are considered. The post-fire pine litter, however, caused significant disturbances to nitrogen cycling when soils were incubated with pine litter collected from the field and when incubated with thermally altered needles generated under laboratory conditions. Post-fire pine litters and pine needles heated experimentally to temperatures 􀀁 200ºC absorbed mineral nitrogen, preventing its extraction from soil and litter mixes. This ability was lost in needles heated experimentally to >200ºC. This temperature was associated with the degradation of polysaccharides and represented a step change in microbial activity and, potentially, in microbial accessibility to the added organic matter. The major conclusions from this work are that soil nutrient content and availability were not strongly affected by the fire event in native and pine forest reserves, but that fire affected pine litter has strong nitrogen absorption properties that are likely to affect the mineral N pools available for the regeneration of forest growth. It is also clear that a post-fire litter layer in pine forests can have distinctly different effects on the soil environment depending on canopy temperature conditions during the fire: post-fire litters composed of low temperature needles absorb most mineral nitrogen that they contact while high temperature needles appear relatively inert. This relationship was affected by a thermal tipping point at approximately 200ºC (detected using a combination of soil respiration and solid state 13C CP-MAS NMR spectroscopy). This research outlines an important knowledge gap in short term forest nutrient cycling and microbial responses to fire that may affect forest fire emissions estimates. degree or diploma in my name, in any university or other tertiary institution and, to the best of my knowledge and belief, contains no material previously published or written by another person, except where due reference has been made in the text. In addition, I certify that no part of this work will, in the future, be used in a submission in my name, for any other degree or diploma in any university or other tertiary institution without the prior approval of the University of Adelaide and where applicable, any partner institution responsible for the joint-award of this degree. I acknowledge that copyright of published works contained within this thesis resides with the copyright holder(s) of those works. I also give permission for the digital version of my thesis to be made available on the web, via the University’s digital research repository, the Library Search and also through web search engines, unless permission has been granted by the University to restrict access for a period of time. I acknowledge the support I have received for my research through the provision of an Australian Government Research Training Program Scholarship.
Thesis (Ph.D.) -- University of Adelaide, School of Agriculture, Food & Wine, 2019
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9

"Design, Analytics and Quality Assurance for Emerging Personalized Clinical Diagnostics Based on Next-Gen Sequencing." Doctoral diss., 2014. http://hdl.handle.net/2286/R.I.24837.

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abstract: Major advancements in biology and medicine have been realized during recent decades, including massively parallel sequencing, which allows researchers to collect millions or billions of short reads from a DNA or RNA sample. This capability opens the door to a renaissance in personalized medicine if effectively deployed. Three projects that address major and necessary advancements in massively parallel sequencing are included in this dissertation. The first study involves a pair of algorithms to verify patient identity based on single nucleotide polymorphisms (SNPs). In brief, we developed a method that allows de novo construction of sample relationships, e.g., which ones are from the same individuals and which are from different individuals. We also developed a method to confirm the hypothesis that a tumor came from a known individual. The second study derives an algorithm to multiplex multiple Polymerase Chain Reaction (PCR) reactions, while minimizing interference between reactions that compromise results. PCR is a powerful technique that amplifies pre-determined regions of DNA and is often used to selectively amplify DNA and RNA targets that are destined for sequencing. It is highly desirable to multiplex reactions to save on reagent and assay setup costs as well as equalize the effect of minor handling issues across gene targets. Our solution involves a binary integer program that minimizes events that are likely to cause interference between PCR reactions. The third study involves design and analysis methods required to analyze gene expression and copy number results against a reference range in a clinical setting for guiding patient treatments. Our goal is to determine which events are present in a given tumor specimen. These events may be mutation, DNA copy number or RNA expression. All three techniques are being used in major research and diagnostic projects for their intended purpose at the time of writing this manuscript. The SNP matching solution has been selected by The Cancer Genome Atlas to determine sample identity. Paradigm Diagnostics, Viomics and International Genomics Consortium utilize the PCR multiplexing technique to multiplex various types of PCR reactions on multi-million dollar projects. The reference range-based normalization method is used by Paradigm Diagnostics to analyze results from every patient.
Dissertation/Thesis
Ph.D. Industrial Engineering 2014
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Musil, Zdeněk. "Molekulárně biologická analýza feochromocytomu a paragangliomu." Doctoral thesis, 2019. http://www.nusl.cz/ntk/nusl-405530.

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This work summarizes the results of a research inquiring into relatively rare neuroendocrine tumors - pheochromocytomas and paragangliomas (PHEO/PGL) These tumors may arise on a hereditary genetic predisposition basis. On that account we primarily focused on a genetic examination of patients with PHEO/PGL. Methods for diagnostics of changes in SDHD, SDHB and RET genes were implemented. The number of examined genes has been (and is still being) extended. Currently we are investigating these genes: ATRX, BRAF, CDH1, CDKN2A, CDKN2B, FGFR1, FH, FHIT, GNAS, HIF2A (EPAS1), H-RAS, IDH1, IDH2, KIF1Bß, KMT2D, K-RAS, MAML3, MAX, MDH2, MET, NF1, NGFR, N-RAS, PHD2/EGLN1, RET, SDHA, SDHAF2, SDHB, SDHC, SDHD, TERT, TMEM 127, TP53 and VHL, using next generation sequencing. The number of variations of the above mentioned genes is different (23%) in Czech patients with PHEO/PGL in comparison with some foreign studies (27%, 40%). This may be caused by geographical influences or selection of patients. PHEO/PGL occur mainly (75%) in a benign form. A malignant form may be indicated by the presence of chromaffin tissue in locations where these tumors do not usually occur - liver, lungs, bones. In our study we focused on characteristics indicating the malignancy, for example, the lower age of patients with the first manifestation...
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Частини книг з теми "Lllumina Next Gen sequencing"

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Gunaratne, Preethi H., Cristian Coarfa, Benjamin Soibam, and Arpit Tandon. "miRNA Data Analysis: Next-Gen Sequencing." In Methods in Molecular Biology, 273–88. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-427-8_19.

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2

Michel, Agnès H., and Benoît Kornmann. "SAturated Transposon Analysis in Yeast (SATAY) for Deep Functional Mapping of Yeast Genomes." In Methods in Molecular Biology, 349–79. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2257-5_20.

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AbstractGenome-wide transposon mutagenesis followed by deep sequencing allows the genome-wide mapping of growth-affecting loci in a straightforward and time-efficient way.SAturated Transposon Analysis in Yeast (SATAY) takes advantage of a modified maize transposon that is highly mobilizable in S. cerevisiae. SATAY allows not only the genome-wide mapping of genes required for growth in select conditions (such as genetic interactions or drug sensitivity/resistance), but also of protein sub-domains, as well as the creation of gain- and separation-of-function alleles. From strain preparation to the mapping of sequencing reads, we detail all the steps for the making and analysis of SATAY libraries in any S. cerevisiae lab, requiring only ordinary equipment and access to a Next-Gen sequencing platform.
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Maria Boldura, Oana, Cristina Petrine, Alin Mihu, and Cornel Balta. "Latest Implications of Next-Gen Sequencing in Diagnosis of Acute and Chronic Myeloid Leukemia." In Biochemical Analysis Tools - Methods for Bio-Molecules Studies. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.92068.

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4

R. Terebelo, Howard, and Leo Reap. "Prognostic and Predictive Factors in Newly Diagnosed Multiple Myeloma Patients with Early Mortality with Prediction Matrix and Three and Five-Year Overall Survival." In Multiple Myeloma [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95819.

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Survival rates for newly diagnosed multiple myeloma have increased to a remarkable 8–12 years. Novel agents, autologous stem cell transplantation, monoclonal antibodies, improvements in supportive care and attention to minimal residual disease negative all have aided this remarkable journey. With these treatments we are identifying tools to achieve complete remissions. Prognostic factors have an important role in selecting proper patient approaches for trial designs. Prognostic and predictive clinical biomarkers have shaped staging and treatment selections for newly diagnosed multiple myeloma. Here we review the Early Mortality Prediction Matrix to identify those at risk of an early death (<6 months) incorporating both disease biology with patient fitness. We also review current standards of care for multiple myeloma and provide a three and five-year overall survival prediction matrix. We review benefits for MRD negativity and Next-Gen Sequencing. These tools will help clinicians improve upon reducing early mortality in newly diagnosed multiple myeloma patients and provide further framework for improving survival by assessing clinical, biologic and individual multiple myeloma patients.
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Тези доповідей конференцій з теми "Lllumina Next Gen sequencing"

1

Jeong-Hyeon Choi, Dong-Sung Ryu, S. Sureshchandra, Huidong Shi, and Hwan-Gue Cho. "A software package for next-gen bisulfite sequencing data analysis." In 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). IEEE, 2011. http://dx.doi.org/10.1109/bibmw.2011.6112561.

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2

Sampson, Kimberly. "Novel pesticidal protein discovery: What's next in a post-next-gen sequencing world?" In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.107775.

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Putnam, Emily, Lam Nguyen, Hunter Chung, Peisheng Shi, Xueguang Sun, Marc E. Van Eden, and Xi-Yu Jia. "Abstract 2956: A targeted bisulfite sequencing method combining microfluidics-based PCR with Next-Gen sequencing." In Proceedings: AACR 106th Annual Meeting 2015; April 18-22, 2015; Philadelphia, PA. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1538-7445.am2015-2956.

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4

Zhou, Xiaochuan, Qi Zhu, and Chris Hebel. "Abstract 3582: A simple multiplex PCR approach for target enrichment in next-gen sequencing." In Proceedings: AACR Annual Meeting 2014; April 5-9, 2014; San Diego, CA. American Association for Cancer Research, 2014. http://dx.doi.org/10.1158/1538-7445.am2014-3582.

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5

Dunn, Andrew R., Shuqiang Li, Cecilia A. Fernandez, and Anthony P. Shuber. "Abstract 43: Detection of bladder cancer-associated gene methylation using next-gen bisulfite sequencing." In Proceedings: AACR 104th Annual Meeting 2013; Apr 6-10, 2013; Washington, DC. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/1538-7445.am2013-43.

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Leonard, Jack T. "Abstract 1156: Applying targeted Next-Gen Sequencing and miRNA expression profiling for cancer biomarker discovery." In Proceedings: AACR 101st Annual Meeting 2010‐‐ Apr 17‐21, 2010; Washington, DC. American Association for Cancer Research, 2010. http://dx.doi.org/10.1158/1538-7445.am10-1156.

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Isaksson, Magnus, Henrik Johansson, Fredrik Roos, Elin Falk, Lotte Moens, Olle Ericsson, and Mats Nilsson. "Abstract 1158: Single step multiplex amplification and barcoding of FFPE samples for Next-Gen sequencing." In Proceedings: AACR 101st Annual Meeting 2010‐‐ Apr 17‐21, 2010; Washington, DC. American Association for Cancer Research, 2010. http://dx.doi.org/10.1158/1538-7445.am10-1158.

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Alexander, Jessica, Ryan Drennan, Ann Meyer, Jessica Xu, Matthew L. Poulin, and Winston Timp. "Abstract 1057: Characterization of methylation patterns in cancer tissue shown by targeted Next-Gen bisulfite sequencing." In Proceedings: AACR 106th Annual Meeting 2015; April 18-22, 2015; Philadelphia, PA. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1538-7445.am2015-1057.

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Millholland, John M., Shuqiang Li, Cecilia A. Fernandez, and Anthony P. Shuber. "Abstract 2093: Next-gen deep sequencing improves FGFR3 mutation detection in the urine of bladder cancer patients." In Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL. American Association for Cancer Research, 2012. http://dx.doi.org/10.1158/1538-7445.am2012-2093.

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Frimer, Marina, Chang Sun, Thomas McAndrew, Benjamin C. Smith, Zigui Chen, Gary L. Goldberg, Ana C. Rodriguez, and Robert D. Burk. "Abstract 4022: HPV16 CpG methylation patterns determined by next-gen bisulfite sequencing and association with cervix precancer/cancer." In Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL. American Association for Cancer Research, 2012. http://dx.doi.org/10.1158/1538-7445.am2012-4022.

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Звіти організацій з теми "Lllumina Next Gen sequencing"

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Zengler, Karsten, Bernhard Palsson, and Nathan Lewis. Next-Gen3: Sequencing, Modeling, and Advanced Biofuels - Final Technical Report. Office of Scientific and Technical Information (OSTI), December 2017. http://dx.doi.org/10.2172/1413757.

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