Probabilistic sequence alignment of stratigraphic records

Probabilistic sequence alignment of stratigraphic records

The assessment of age uncertainty in stratigraphically aligned records is a pressing need in paleoceanographic research. The alignment of ocean sediment cores is used to develop mutually consistent age models for climate proxies and is often based on the δO of calcite from benthic foraminifera, which records a global ice volume and deep water temperature signal. To date, δO alignment has been p...

Probabilistic pairwise sequence alignment

We describe an new algorithm for visualizing an alignment of biological sequences according to a probabilistic model of evolution. The resulting data array is readily interpreted by the human eye and amenable to digital image techniques. We present examples using mRNA sequences from mouse and rat: three cytochromes and two zinc finger proteins. The underlying evolutionary model is derived from ...

ProbCons: Probabilistic consistency-based multiple sequence alignment.

To study gene evolution across a wide range of organisms, biologists need accurate tools for multiple sequence alignment of protein families. Obtaining accurate alignments, however, is a difficult computational problem because of not only the high computational cost but also the lack of proper objective functions for measuring alignment quality. In this paper, we introduce probabilistic consist...

Examining stratigraphic records of environmental cycles

PSAR-Align: improving multiple sequence alignment using probabilistic sampling

SUMMARY We developed PSAR-Align, a multiple sequence realignment tool that can refine a given multiple sequence alignment based on suboptimal alignments generated by probabilistic sampling. Our evaluation demonstrated that PSAR-Align is able to improve the results from various multiple sequence alignment tools. AVAILABILITY AND IMPLEMENTATION The PSAR-Align source code (implemented mainly in ...