GUIDANCE2: accurate detection of unreliable alignment regions accounting for the uncertainty of multiple parameters.
Bottom Line: We compared GUIDANCE2 with seven methodologies to detect unreliable MSA regions using extensive simulations and empirical benchmarks.We show that GUIDANCE2 outperforms all previously developed methodologies.Furthermore, GUIDANCE2 also provides a set of alternative MSAs which can be useful for downstream analyses.
Affiliation: Department of Cell Research and Immunology, George S. Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv 6997801, Israel.Show MeSH
Mentions: As an improved combined method, GUIDANCE2 outperforms all its components when considered separately on MAFFT alignments (Figure 3): relaying on uncertainty in the guide trees (GUIDANCE), uncertainty over alternative co-optimal solutions (HoT) or uncertainty in gap penalty values. This analysis suggests that in order to generate alternative MSAs for the purpose of detecting unreliable alignment regions, for the BAliBASE data the most important factor is the gap opening score, followed by the guide tree, and the HoT component (sampling alternative MSAs with the highest score) is the least important factor (Figure 3A). For the OrthoMaM simulations, the most important factor was the guide tree uncertainty, the second was the HoT component, and the gap opening score contributed the least (Figure 3B). The contribution of each component was calculated also for the ZORRO-simulated data set. Here, the guide-tree uncertainty component (GUIDANCE) contributed the most, followed by the gap opening score, and the least was contributed by the HoT component (Figure 3C). This demonstrates that the contributions of the different components vary among data sets, further suggesting the need to integrate them within a single methodology. Notably, the gap extension score was insignificant in its contribution to the generation of alternative MSAs and was thus not included in GUIDANCE2 (data not shown).
Affiliation: Department of Cell Research and Immunology, George S. Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv 6997801, Israel.