MP analysis of the combined sequence data sets using two different weighting schemes and gap handling and NJ analysis produced consensus trees with similar topologies (Additional file 1, Figure S1), which were in accordance with previously published phylogenies [ 13, 14].
The algorithm consists in performing a principal component analysis on the centered molecular coordinates by using six different weighting schemes: unweighted (u), weighted by the atomic mass (m), by the van der Waals volume (v), by the Mulliken atomic electronegativity (e), by the atomic polarizabilities (p), or by the electro-topological index of Hall et al.
The elicited values were weighted using three different weighting schemes, using specific software [ 59].
This model is similar to Model 1, but uses two different weight functions.
We use three different weight vectors η=[η 1…η D ]: 1. Equal weights: η i =1/D=1/6.
As in Model 3, we use three different weight functions, describing initial studies, early replications and late replications.
Loading efficiency was investigated using two different molecular weights of PAGS.
The 3D matrices were evaluated for in vitro release using two different molecular weight model compounds, bovine serum albumin (66 kDa) and FITC Inulin (3.9 kDa).
We evaluated the impact of linkage error on estimated infection rates using two different methods for classifying links: highest-weight (HW) classification using probabilistic match weights and prior-informed imputation (PII) using match probabilities.
The release of lentivector was tested using two different ratios of low and high molecular weight (MW) alginate polymers (75/25 and 25/75 low/high MW).
