Code to generate Figure 3 from KDM1A paper by Jessica Chong (474458)

“…Additionally, as the specificity of the phenotype of interest increases, the proportion of individuals tested who have the phenotype (y-axis) naturally decreases, also resulting in increased power. A small decrease (60% to 50%) in the proportion of individuals who have the phenotype of interest can increase power more than sequencing 10,000 additional trios.…”

TLC photography of fungal extract. by Shivankar Agrawal (11565095)

Phases of the accumulation of RCVR during primary infection. by Brandon F. Keele (7450001)

The effectiveness of additional rounds of annual 3D-MDA starting in 2023 for three different levels of treatment coverage. by Callum Shaw (15628313)

The effectiveness of the household-based strategy, with different number of teams, treatment radii, and household test aims (HTA). by Callum Shaw (15628313)

Results of ABC fitting—transformed parameters. by Callum Shaw (15628313)

Fig 1 - by Khalid Abdul Basit (15332672)

No viral measurement predicts off-ART rebound or not in d3 or d4 ART RMs. by Brandon F. Keele (7450001)

Rebound kinetics and time to detection following ART discontinuation. by Brandon F. Keele (7450001)

Pre- and early post-ART viral dynamics. by Brandon F. Keele (7450001)

SIV CA-DNA, SIV CA-RNA, and IPDA levels prior to ART interruption using CA-DNA and RNA values and IPDA. by Brandon F. Keele (7450001)

Barcode assessment post rebound. by Brandon F. Keele (7450001)

Reactivation rates. by Brandon F. Keele (7450001)

Fig 1 - by Qiumeng Zhang (4184326)

S1 Fig - by Qiumeng Zhang (4184326)

Fig 2 - by Khalid Abdul Basit (15332672)

Summary of all simulated surveillance strategies. by Callum Shaw (15628313)

Model of the observed species density. by Stijn Bruneel (8113409)

Sampling design of the study. by Stijn Bruneel (8113409)

Model of the observed Shannon diversity. by Stijn Bruneel (8113409)