Best Universities for Masters certificate program in Genome Sciences, Genomics

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Sequence Analysis and Genomics Certificate Details and Courses.

This course explores the theory and practice of biological database searching and analysis. In particular, students are introduced to integrated systems where a variety of data sources are connected through internet access. Information retrieval and interpretation are discussed, and many practical examples in a computer laboratory setting enable students to improve their data mining skills. Methods included in the course are searching the biomedical literature, sequence homology searching and multiple alignment, phylogeny, gene prediction, protein sequence motif analysis and secondary structure prediction, and several genome browsing methods. Introductory analysis using the R programming language is introduced. Computer access is required. Prerequisites: 410.601 Biochemistry. Corequisite: 410.602 Molecular Biology.

This course introduces students with a background in the life sciences to the basic computing concepts of the UNIX operating system, relational databases, structured programming, object-oriented programming, and the Internet. Included is an introduction to SQL and the Python scripting language. The course emphasizes relevance to molecular biology and bioinformatics. It is intended for students with no computer programming background but with a solid knowledge of molecular biology. Prerequisites: 410.601 Biochemistry, 410.602 Molecular Biology.

Large-scale DNA sequencing efforts have resulted in increasingly large numbers of DNA sequences being deposited in public databases. Assigning annotations, such as exon boundaries, repeat regions, and other biologically relevant information accurately in the feature tables of these sequences requires a significant amount of human intervention. This course instructs students on computer analytical methods for gene identification, promoter analysis, and introductory gene expression analysis using software methods. Additionally, students are introduced to comparative genomics and proteomic analysis methods. Students will become proficient in annotating large genomic DNA sequences. This course covers customizing genome browsers with novel data. Next-generation sequence analysis is covered through sequence quality control and assembly and analysis of ChIP-seq and RNA-seq data. Students complete two large sequence analysis projects during the course. Prerequisites: 410.601 Biochemistry 410.602 Molecular Biology 410.6 Introduction to Bioinformatics or equivalent.

Is in sight. Armed with complete genome sequences, biologists need to identify the genes encoded within and the variation in these genes between individuals, assign functions to the genes, and put these into functional and metabolic pathways. This course will provide an of next-generation sequencing technologies in the historical context of DNA sequencing, the pros and cons of each technology, and the bioinformatics techniques used with this sequence information, beginning with quality control assessment, genome assembly, and annotation. Prerequisites: 410.602 Molecular Biology, 410.6 Introduction to Bioinformatics, 410.634 Practical Computer Concepts for Bioinformatics.

Because the gap between the number of protein sequences and the number of protein crystal structures continues to expand, protein structural predictions are increasingly important. This course provides a working knowledge of various computer-based tools available for predicting the structure and function of proteins. Topics include protein database searching, protein physicochemical properties, secondary structure prediction, and statistical verification. Also covered are graphic visualization of the different types of three-dimensional folds and predicting 3-D structures by homology. Computer laboratories complement material presented in lectures. Prerequisites: 410.601 Biochemistry, 410.602 Molecular Biology, 410.6 Introduction to Bioinformatics.

This course will provide a practical, hands-on introduction to the study of phylogenetics and comparative genomics. Theoretical background on molecular evolution will be provided only as needed to inform the comparative analysis of genomic data. The emphasis of the course will be placed squarely on the understanding and use of a variety of computational tools designed to extract meaningful biological information from molecular sequences. Lectures will provide information on the conceptual essence of the algorithms that underlie various sequence analysis tools and the rationale behind their use. Students will be encouraged to use the programs and approaches introduced in the course to address questions relevant to their own work. Prerequisites: 410.601 Biochemistry, 410.602 Molecular Biology, 410.6 Introduction to Bioinformatics.

This course introduces statistical concepts and analytical methods as applied to data encountered in biotechnology and biomedical sciences. Topics include probability theory and distributions population parameters and their sample estimates descriptive statistics for central tendency and dispersion hypothesis testing and confidence intervals for means, variances, and proportions categorical data analysis linear correlation and regression model logistic regression analysis of variance and nonparametric methods. The course provides students a foundation with which to evaluate information critically to support research objectives and product claims and a better understanding of statistical design of experimental trials for biological products devices. Prerequisites: Basic mathematics (algebra).

This course will introduce students to various methods for analyzing and interpreting transcriptomics data generated from technologies such as oligonucleotides or two-channel microarrays, qRT-PCR, and RNA sequencing. Topics will include scaling normalization, outlier analysis, and missing value imputation. Students will learn identify differentially expressed genes and correlate their expression with clinical outcomes such as disease activity or survival with relevant statistical tests methods to control for multiple testing will also be presented. An introduction to linear and nonlinear dimensionality reduction methods and both supervised and unsupervised clustering and classification approaches will be provided. Open source tools and databases for biological interpretation of results will be introduced. Assignments and concepts will make use of publicly available datasets, and students will compute and visualize results using the statistical software R.

Alterations to the genome are the basis of cancer development, but not all mutations cause cancer. Cancer genomics is the study of cancer cell genomes to elucidate how changes from the normal host genome drive cancer development and how these changes can be targeted for better prevention, diagnosis, and treatment of cancer. In this course, students learn the multi-step process of tumorigenesis and the confounding development of passenger mutations that challenge the use of genomics to inform therapies. Students will use bioinformatics tools to analyze human cancer genomic data sets to understand the genetic basis of cancer and identify genetic signatures in tumors to guide treatment. Topics also include the development of drug resistance, biological sample acquisition, the technologies used to identify and distinguish pathogenic alleles, and how data is stored, referenced, and shared. Discussions clinical trials and standards of care based on cancer genomics, and the ethical challenges raised by the use of genomic information to make personal care decisions, are included in the course. Prerequisites: 410.601 Biochemistry, 410.602 Molecular Biology, 410.603 Advanced Cellular Biology I. 410.638 Cancer Biology is recommended.

This intermediate-to-advanced-level course, intended as a follow-on to 410.634 Practical Computer Concepts for Bioinformatics (a prerequisite for this new class), will integrate and expand on the concepts from that introductory class to allow students to create working, Web-based bioinformatics applications in a project-based course format. After a review of the concepts covered in 410.634, students will learn create functional Web applications on a UNIX system, using Python and CGI to create forms that can be acted upon, and using the Perl DBI module to interface with MySQL relational databases that they will create and populate to retrieve and present information. Class time in the latter weeks of the class will be devoted to individual assistance on student projects and to short lectures on advanced topics. Once again, whenever possible, this course will emphasize relevance to solving problems in molecular biology and bioinformatics. Prerequisites: 410.601 Biochemistry 410.602 Molecular Biology 410.634 Practical Computer Concepts.

The next generation of array and sequencing technologies provides the ability to investigate large quantities of genomics information with higher sensitivity, greater throughput, and lower costs. This also introduces new challenges in data management, novel algorithmic approaches, and general interpretation. This course builds on the topics in 410.671 Gene Expression Data Analysis and Visualization to address analysis of both genetic variation and genomics content, including splice variants, single nucleotide polymorphisms (SNPs) with family-based and case control genome-wide association, copy number variation, somatic and germline single nucleotide variants, tumor clonality and ploidy estimates, and transcription factor binding sites.

The emerging field of metagenomics allows for the study of entire communities of microorganisms at once, with far-reaching applications in a wide array of fields, such as medicine, agriculture, and bioremediation. Students will learn the principles of metagenomics through the exploration of published project data and guided readings of recent literature. Using data from the Human Microbiome Project, students will explore practical analysis tasks, including sequence assembly, gene prediction and annotation, metabolic reconstruction, taxonomic community profiling, and . Prerequisites: 410.601 Biochemistry, 410.602 Molecular Biology, 410.6 Introduction to Bioinformatics, 410.634 Practical Computer Concepts for Bioinformatics.

With the advent of rapid, low-cost whole-genome sequencing, the field of personalized medicine is growing from a niche field to becoming the new standard of practice in medicine. Already, oncology makes use of genomic sequencing to inform treatment decisions based on tumor types, and patients are seeking knowledge their genetic and environmental risk factors to make informed health decisions. This class explores the evolving field of personalized medicine, examining genomics as well as proteomics, metabolomics, epigenetics, and the microbiome. Students will read and discuss new developments in pharmacogenomics, rare and complex diseases, genomics for the healthy person, and the ethical, economic, and social implications of these new technologies. These topics will be approached with a view toward application in clinical practice. Prerequisites: 410.602 Molecular Biology 410.6 Introduction to Bioinformatics.

Students should be aware of state-specific information for online programs.

The Graduate Certificate in Ecological Genomics at the University of New Hampshire is an interdisciplinary program to provide graduate level training that spans molecular to ecological scales. Students will be trained to study genome evolution in an ecological context using a systems-based approach, whereby genomic evolution is considered within an integrated system resulting from mechanisms operating across molecular, cellular, organismal, and ecological scales. Students within the program have the opportunity to build their five course certificate from a variety of course options from four broad disciplinary areas and one required seminar course. The flexibility of the program enables students with interdisciplinary interests to complement their current degrees in the life sciences broadly, and it is ideal for students with career interests in both the applied or basic sciences. This unique program also has an inter-institutional option, which affords the possibility for interested students to fulfill one or of the requirements through offerings at the University of Maine.

Admission Requirement: Students should be enrolled in any graduate degree program in the College of Life Sciences and Agriculture. Otherwise, students must hold a life-science related baccalaureate degree from an accredited college or university, with a minimum GPA of 2.5 (or its equivalent) and achieve a minimum TOEFL score of 80, for those without a degree from an English-speaking institution. Courses taken at other institutions are not eligible to be transferred into the program.

Genome Sciences, Genomics of study requires five courses and a total of at least 13 credits: one course selected from offerings in each of four disciplinary areas and a fifth required seminar course. Through a cooperative agreement between the Universities of New Hampshire and Maine, some courses at University of Maine may fulfill one or of the requirements for this program. In these cases, the University of New Hampshire student will enroll in an appropriate University of New Hampshire special topics course (e.g. NR 995 Investigations) and the content will be delivered remotely via a University of Maine course. Only select courses may be offered in this cross-institutional format.

Students claiming in-state residency must also submit a Proof of Residence Form. This form is not required to complete your application, but you will need to submit it after you are offered admission or you will not be able to register for classes.

If you attended UNH after September 1, 1991, and have indicated so on your online application, we will retrieve your transcript internally this includes UNH-Durham, UNH-Manchester and UNH Non-Degree work.

Paper Transcripts: Please send hard copies of transcripts to: UNH Graduate School, Thompson Hall 105 Main Street, Durham, NH 03824. You may request transcripts be sent to us directly from the institution or you may send them yourself as long as they remain sealed in the original university envelope.

Transcripts from all previous post-secondary institutions must be submitted and applicants must disclose any previous academic or disciplinary sanctions that resulted in their temporary or permanent separation from a previous post-secondary institution. If it is found that previous academic or disciplinary separations were not disclosed, applicants may face denial and admitted students may face dismissal from their academic program.

Reasons you wish to do graduate work in this field, including your immediate and long-range objectives.

Prospective international students are required to submit TOEFL, IELTS, or equivalent examination scores. English Language Exams may be waived if English is your first language.

The Genomics Leadership Initiative at Juniata College was been funded by the Howard Hughes Medical Institute and National Science Foundation. The initiative achieved its goal by developing a genomics certificate program, a leadership module, and student summer research experiences.

The genomics certificate addresses both the science and the broader ethical, legal and social implications (ELSI) surrounding progress and discoveries in the field of genomics.

With the cost of a human genome sequence now under $1,000, appreciation of both the science and the ethical, legal, and societal implications of genomics has become an increasingly pressing issue. This report emphasized the importance of integrative scientific approaches, scientific reasoning, intellectual curiosity, communication and decision making skills, adaptability, ethical principles, and understanding of patients as individuals and in a social context. HHMI funded Juniata College to implement this certificate program.

Description and Goals of a Certificate in Genomics, Ethics, and Society.

The certificate addresses both the science and the broader ethical, legal and social implications (ELSI) surrounding progress and discoveries in the field of genomics. Few areas of modern biology provides a appropriate focus for combining the humanities and sciences than the ethical, social and legal implications (ELSI) of the human genome project and the evolution of the field of personalized medicine. The subject cannot be completely addressed without the input of specialists working across disciplinary boundaries.

Students who attain genomics certification will be able to:.

Describe the basic concepts and principles of genomics.

Explain the scope of genomics from genes to society.

Integrate knowledge of the chemical, physical, mathematical and computational bases of genomics.

Explain the importance of the place of genomics in the human effort to understand natural phenomena, including its history and social impact.

Be able to make and justify ethical judgments genomics research and its uses in medical practice and elsewhere.

Use the skills and interdisciplinary perspectives of the liberal arts in understanding trends in genomics and communicating them to academic peers and others.

Apply the process of science to questions in genomics.

Demonstrate an in-depth knowledge of a selected field in genomics.

Core Courses: All students pursuing a genomics certificate must take four core courses required for a genomics certificate.

NOTE: If your POE is outside of Biology or Chemistry: As with most of the ELSI options, Human Biology, Intro Prob and Stat, and Computer Science I Genomics have few to no prerequisites.

To see the most updated times and prereqs for each class, use colleague self service as follows: Navigate to Academics and then Advanced Search. Select the term of interest. Scroll to the bottom of the page and select Course Type . Select Certificate: Genomics Ethics Society.

Students must submit a notice of intent to complete the certificate before senior year. The certificate may be approved by Profs.

Students interested in pursuing a genomics certificate should follow the Genomics Certificate Notice of Interest link. This does not obligate you to joining the program but it does put you on our radar so that we can assist you if you choose to go through the certificate process.

The purpose of this course will be to gain an understanding of the science behind the genome project and develop an understanding how ethical norms are established and challenged. Students will discuss and debate the potential implications of this new technology for them as individuals and for society in general.

The purpose of this course will be to gain an understanding of the science behind the genome project and develop an understanding how ethical norms are established and challenged. Students will discuss and debate the potential implications of this new technology for them as individuals and for society in general. NOTE: Students are expected to be in their third or fourth year when taking a Connections course.

General Biology I is the first course in the Biology POE core curriculum. This course will be structured around four primary case studies on the opioid crisis, climate change, environmental toxicology and the evolution of speed in animals. The cases will outline foundational concepts in molecular biology and evolution.

The second course in the introductory biology series. This course is divided into two half semester modules: cell and molecular biology and the physiology and systems of plants and animals.

Course is a non-majors approach to the basic chemistry and biology of the human body, as well as how humans fit into society and environment. Emphasis will be on applying scientific process tocurrent health topics. Course required for the Social Work POE and included in the Genomics Certificate and Rural Poverty Studies secondary emphasis.

This course deals centrally with quantitative and statistical methodology in the biological sciences. It includes experimental design and the conventions of generating, analyzing, interpreting and presenting biological data. Counts as a math course for graduate and professional school requirements.

This course is a survey of the various visual, statistical, and modeling approaches commonly used in the analysis of environmental data. The course covers: (1) visual literacy from exploratory data inquisition to poster creation (2) elementary group comparison such as t-test and ANOVA and their non-parametric analogs (3) basic systems modeling and (4) regression modeling techniques based on the generalized linear model framework.

An introductory study of computer science software development concepts. Python is used to introduce a disciplined approach to problem solving methods, algorithm development, software design, coding, debugging, testing, and documentation in the object oriented paradigm. This is the first course in the study of computer science.

This course considers various aspects of organizing digital information for public consumption. The visualization, graphical and basic statistical analysis of data is then considered for information presentation. Data mining techniques covered offer information discovery methods.

Presents procedures and experiments which demonstrate basic micro-biological concepts and techniques. Illustrates and augments the content of the lecture. Note: A special fee is assessed.

This course will utilize Microbial Community Analysis leveraging high-throughput sequencing technology to identify the microbes present in naturally occurring our man-made ecosystems. Students will learn both molecular and bioinformatics skill sets, as well as microbial ecology principles throughout this course.

Attendance at a departmental journal club is expected. May be repeated for up to 15 credits.

The students will prepare a portfolio of basic Unix programs and scripts. The course covers basic Unix commands, editing techniques, regular expression usage, and script building. The programs are reviewed, critiqued, and the student has an opportunity to revise them as needed for final inclusion in the portfolio.

The students will prepare a portfolio of computer programs written in the Perl language. The programs are reviewed, critiqued, and then the student has an opportunity to revise them as needed for final inclusion in the portfolio.

The students will prepare a portfolio of computer programs written in the Python language. The programs are reviewed, critiqued, and then the student has an opportunity to revise them as needed for final inclusion in the portfolio.

Despite our popular understanding of the European middle ages as a dirty, disease-ridden, hopelessly backward period, the sources show us quite a different picture. Although a lack of understanding of the means of genetic change and the cause of viral and bacterial disease caused medieval people to understand the human body very differently than we do, that system was not without its logic and efficacy. This course will explore the human body and its diseases in the middle ages through a series of connected readings that introduce the body as a conceptual system and medieval science attempts to understand it. We will then look at the growing field of genomic research as a way of understanding and comparing our modern systems of understanding the body.

This course is a seminar-style course in 'professional ethics'. It will explore the various codes, value assumptions, and dilemmas faced by those who practice the health care professions. Specific topics (or dilemmas) will be determined by each class, based upon the specific POEs of the enrolled students.

This course examines the reciprocal influence between science and social values, from the perspective of the humanities. Through selected readings and discussion, students consider how everyday life is shaped by scientific innovation and technology, just as society provides a framework of cultural values for science.

This course will cover basic issues relevant to understanding and evaluating moral judgment. We will compare philosophical models of human judgment with psychological models of human judgment. You will apply both philosophical and psychological models to contemporary ethical issues and reflect on your own beliefs and social responsibilities.

This course focuses primarily on the impact of ten human infectious diseases that have changed the world. Each disease is analyzed from five distinct perspectives: Clinical, Historical, Economic, Artistic, and Public Health. We also discuss genomics aspects of the infective organisms and of their human hosts. Pre or co-requisite: FYC-101 or EN-110 or EN-109.

This is the challenge! This course will review historical and contemporary science issues facing us and the challenge of understanding the science connected to the issues. A trip to the USHMM in Washington DC will be scheduled and is optional because it is on the weekend.

This course on Science and Society is intended to review historical issues in science and the debate that surrounds societal decision-making. Thus, students will examine this topic from the perspective of scientific process and social inquiry. In addition, we will also review current hot topics in science, research these topics from various aspects including societal impacts and scientific advancements. They will also discuss potential resolutions, moving toward becoming scientifically literate. We will also be discussing current popular books on related science. Ultimately, we will compare what the scientists are saying in professional journals versus the interpretation presented to the general public. NOTE: Students are expected to be in their third or fourth year when taking a Connections course.

This course examines the challenges of providing leadership in the information age of global and cultural contexts. Leadership as manifested in today workplace provides both opportunity and a great responsibility. The role and function of leaders look very different today than years ago. Change is the norm. Leaders must understand today challenges and be able to function effectively given a borderless, multicultural, virtual, and diverse group of followers.

Study in this area is growing and is at the forefront of cutting-edge research.

Students in this graduate certificate program will learn new techniques and applications of current biotechnology databases to DNA and protein analysis. These techniques allow the study of disease at the cellular and molecular levels.

A baccalaureate degree in Biology or related field (ex: cell biology, ecology, marine biology, genetics, zoology, plant biology, evolutionary biology, microbiology) from a regionally accredited institution. If the degree is not in Biology, transcripts must reflect a B or better for a minimum of four Biology lab courses.

Two letters recommending the candidate for graduate work at University of Saint Joseph from individuals who can comment cogently upon the ability of the candidate to perform in graduate studies.

A letter of intent stating the reason for wanting the degree or certificate, the courses of interest, possible transfer courses to be brought into the program, and what the student will be bringing to the program.

Note: Matriculated students have priority to register for courses during the registration period.Financial aid is only available to students who are formally accepted and matriculated.

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Program of Interest - Select Program --Doctor of ChiropracticDoctor of Acupuncture and Chinese Herbal MedicineDoctor of Occupational TherapyMaster of Acupuncture and Chinese Herbal MedicineMaster of Science in Human Genetics GenomicsMaster of Science in Human Genetics and Genomics with a Pre-Genetic Counseling ConcentrationMaster of Science in Medical ScienceMaster of Science in Medical Science OnlineMaster of Science: Physician Assistant ProgramBachelor of Science in Health SciencesAccelerated Science CoursesAyurvedic Wellness Educator CertificateAyurvedic Practitioner CertificateHealth Education CertificateGraduate Certificate in Human Genetics and GenomicGraduate Certificate in Pre-Genetic Counseling.

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Master of Science in Human Genetics and Genomics.

Certificates Ayurvedic Wellness Educator Certificate Ayurvedic Practitioner Certificate Graduate Certificate in Human Genetics and Genomics Graduate Certificate in Pre-Genetic Counseling Post-Baccalaureate Health Education Certificate Clinical Internship for Ayurvedic Practitioners.

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