Taught online by Dr. Joshua Granek of Duke University. Registered participants will receive an email with information about the course.

Taught online by Dr. Joshua Granek of Duke University. Registered participants will receive an email with information about the course. The deadline to register for this workshop is March 10th, 2025.

From: https://cfar.duke.edu/cores/quantitative-sciences-core/r25/workshops

The Quantitative Methods for HIV/AIDS workshop series is designed to provide HIV (and other) researchers with a hands-on introduction to quantitative analyses both through simple and large, complex data sets. These NIH-funded workshops are open to graduate students, postdocs, medical fellows, staff, and faculty working in the HIV/AIDS field. Non-Duke-affiliated applicants are welcome.

Each part of the series consists of six once-a-week workshops held on Mondays from 1 – 4 PM. The seminars will be at Hock Plaza, and participants are encouraged to attend in person to get the most benefit. Those unable to attend in person have the option to attend virtually. Enrollment is capped at 36 participants, and participants who enroll after the cap is met will be added to a waitlist.

Part II workshops will build on the statistical concepts discussed in Part 1 and the utilization of predictive models using previously published HIV data. Attendees will learn important concepts in statistics and perform statistical analyses using real HIV data. We will introduce hypothesis testing, multiple testing correction, linear and logistic regression, and high dimensional modeling. The final day is scheduled as a design studio where participants can sign up to discuss their work and receive feedback from instructors and fellow workshop attendees.

NOTE: The material presented in Part I is a pre-requisite for Part II and Part III. Participants fluent with R, RStudio, and Git may skip the Part I Workshops, but must understand that the material covered in Part I will not be reviewed in Part II and Part III. Part I seminars will be recorded for attendees unable to attend Part I but interested in Parts II/III. Priority registration will be given to those who attended the previous parts.

Registration
REGISTER HERE by January 15, 2025.

PART II: Statistical Thinking Workshops

From: https://cfar.duke.edu/cores/quantitative-sciences-core/r25/workshops

The Quantitative Methods for HIV/AIDS workshop series is designed to provide HIV (and other) researchers with a hands-on introduction to quantitative analyses both through simple and large, complex data sets. These NIH-funded workshops are open to graduate students, postdocs, medical fellows, staff, and faculty working in the HIV/AIDS field. Non-Duke-affiliated applicants are welcome.

Each part of the series consists of six once-a-week workshops held on Mondays from 1 – 4 PM. The seminars will be at Hock Plaza, and participants are encouraged to attend in person to get the most benefit. Those unable to attend in person have the option to attend virtually. Enrollment is capped at 36 participants, and participants who enroll after the cap is met will be added to a waitlist.

Part II workshops will build on the statistical concepts discussed in Part 1 and the utilization of predictive models using previously published HIV data. Attendees will learn important concepts in statistics and perform statistical analyses using real HIV data. We will introduce hypothesis testing, multiple testing correction, linear and logistic regression, and high dimensional modeling. The final day is scheduled as a design studio where participants can sign up to discuss their work and receive feedback from instructors and fellow workshop attendees.

NOTE: The material presented in Part I is a pre-requisite for Part II and Part III. Participants fluent with R, RStudio, and Git may skip the Part I Workshops, but must understand that the material covered in Part I will not be reviewed in Part II and Part III. Part I seminars will be recorded for attendees unable to attend Part I but interested in Parts II/III. Priority registration will be given to those who attended the previous parts.

Registration
REGISTER HERE by January 15, 2025.

PART III: Bioinformatics Workshops

Virtual (Zoom) | 1 – 4 pm.

Taught by Dr. Misty Thomas of N.C. A&T, this workshop is intended to give a broad overview of biological topics related to microbiome research. The intended audience is PreMiEr members with expertise outside of biology or microbiology, or those looking for a refresher on those topics.

Registration closes: August 21

Virtual (Zoom) | 1 – 4 pm.

Taught by Dr. Cynthia Gibas and Dr. Jessica Schlueter of UNC Charlotte, this workshop is intended to give an overview of lab techniques relevant to sampling and analyzing microbiomes of the built environment.

Registration closes: September 2nd

Virtual (Zoom) | 1 – 4 pm.

Taught by representatives of PreMiEr Industry Member, Illumina, this workshop introduces participants to sequencing pipelines using Illumina technology.

This is a companion workshop to the Illumina “hands-on” experience at either Duke University (September 30th) or North Carolina Agricultural and Technical State University (October 4th).

Registrants should sign up for this virtual workshop and an associated hands-on workshop at either Duke or N.C. A&T. Space may be limited.

In-person | Duke University | 1 – 4 pm.

Sponsored by PreMiEr Industry Member  Illumina, this “lab-in-a-box” experience at Duke University is a 3-hour, in-person, hands-on workshop that gives participants experience in library preparation for next-generation sequencing and an introduction to sequencing pipelines but one of the world’s leading companies in the field.

Registrants who sign up for this hands-on workshop must also attend the September 16th virtual workshop. Space may be limited.

In-person | N.C. A&T University | 10-2 pm (tentative)

Sponsored by PreMiEr Industry Member  Illumina, this “lab-in-a-box” experience at North Carolina Agricultural and Technical State University is a 3-hour, in-person, hands-on workshop that gives participants experience in library preparation for next-generation sequencing and an introduction to sequencing pipelines but one of the world’s leading companies in the field.

Registrants who sign up for this hands-on workshop must also attend the September 16th virtual workshop. Space may be limited.

Virtual (Zoom) | 2:30 – 5 pm.

Taught by Dr. Anthony Fodor of UNC Charlotte, this workshop is intended to give an overview of topics related to analyzing bioinformatic data sets related to microbiomes of the built environment.

Registration closes: September 30th

From: https://cfar.duke.edu/cores/quantitative-sciences-core/r25/workshops

The Quantitative Methods for HIV/AIDS workshop series is designed to provide HIV (and other) researchers with a hands-on introduction to quantitative analyses both through simple and large, complex data sets. These NIH-funded workshops are open to graduate students, postdocs, medical fellows, staff, and faculty working in the HIV/AIDS field. Non-Duke-affiliated applicants are welcome.

Each part of the series consists of six once-a-week workshops held on Mondays from 1 – 4 PM. The seminars will be at Hock Plaza, and participants are encouraged to attend in person to get the most benefit. Those unable to attend in person have the option to attend virtually. Enrollment is capped at 36 participants, and participants who enroll after the cap is met will be added to a waitlist.

Part II workshops will build on the statistical concepts discussed in Part 1 and the utilization of predictive models using previously published HIV data. Attendees will learn important concepts in statistics and perform statistical analyses using real HIV data. We will introduce hypothesis testing, multiple testing correction, linear and logistic regression, and high dimensional modeling. The final day is scheduled as a design studio where participants can sign up to discuss their work and receive feedback from instructors and fellow workshop attendees.

NOTE: The material presented in Part I is a pre-requisite for Part II and Part III. Participants fluent with R, RStudio, and Git may skip the Part I Workshops, but must understand that the material covered in Part I will not be reviewed in Part II and Part III. Part I seminars will be recorded for attendees unable to attend Part I but interested in Parts II/III. Priority registration will be given to those who attended the previous parts.

Registration

Registration for this workshop series is closed.

PART I: Data ScienceWorkshops

Taught hybrid by Dr. Joshua Granek of Duke University. Registration for this workshop closes February 26th, 2024. Registered participants will receive an email with information about the course.

Taught hybrid by Dr. Joshua Granek of Duke University. Registration for this workshop closes March 11th, 2024. Registered participants will receive an email with information about the course.

Taught hybrid by Dr. Alex Dornburg of the University of North Carolina at Charlotte. Registration for this workshop closes March 18th, 2024. Registered participants will receive an email with information about the course.

Taught hybrid by faculty of the University of North Carolina at Charlotte. Registration for this workshop closes March 25th, 2024. Registered participants will receive an email with information about the course.

Taught hybrid by faculty from the University of North Carolina at Charlotte. Registration for this workshop closes April 1st, 2024. Registered participants will receive an email with information about the course.

(Note: This workshop was previously scheduled for April 15th but has been moved. You do not need to re-register if you have signed up already.)

Taught hybrid by faculty members of the University of North Carolina at Charlotte. Registration for this workshop closes April 8th, 2024. Registered participants will receive an email with information about the course.

(Note: This workshop was previously scheduled for April 8th but has been moved. You do not need to re-register if you have signed up already.)

For more information, visit this page.