ReSeq-profiles

For best results it is always advised to create your own profiles from a dataset very closely matching the desired sequencer, chemistry, fragmentation, adapters, PCR cycles, etc. Furthermore, training on the same or a closely related species, is best to be sure that the necessary profile space (e.g. range of GC content) is well populated. However, in many situations there is no specific case that should be simulated, but a wide variety of datasets is important. Under this condition finding good datasets is tedious work and recreating the same profile from a given dataset does not help to ensure the quality of the simulated data. Therefore, this repository is designed to provide high-quality profiles with detailed information on the original datasets. Whenever possible, method benchmarks should be performed on the simulated and the original dataset to verify that the simulation created realistic conditions for the particular use case.

Dataset	Year	Sequencer	Adapter	Species	Read length	Fragment length	Coverage	Profile	Ipf
SRR490124	≤ 2013	HiSeq 2000	TruSeq	E. coli	100	164	449	X	X
BaseSpace, HiSeq 4000: Nextera XT (B.cereus, E.coli, R.sphaeroides), Ecoli1_L001	2015	HiSeq 4000	Nextera	E. coli	151	-	508	X	X
BaseSpace, HiSeq 4000: Nextera XT (B.cereus, E.coli, R.sphaeroides), Bcereus1_L001	2015	HiSeq 4000	Nextera	B. cereus	151	-	508	X	X
PRJEB33197 COLO829BL control samples	2019	NovaSeq 6000	TruSeq	H. sapiens	151	512	131	X	X
DRR058060	2016	MiSeq	TruSeq	E. coli	251	231	≥ 214	X	X

In case you created a profile that reflects a given dataset well, please contact me to share it with others.