Variability in human and automatic segmentation of melanocytic lesions.

In a double blind evaluation of 60 digital dermatoscopic images by 4 "junior", 4 "senior" and 4 "expert" dermatologists (dermatoscopy training respectively less than 1 year, between 1 and 5 years, and more than 5 years), a significant inter-operator variability was observed in melanocytic lesion border identification (with a disagreement of the order of 10 - 20% of the area of the lesions). Expert dermatologists showed greater agreement among themselves than with senior and junior dermatologists, and a slight tendency towards "tighter" segmentations. The human inter-operator variability was then used to evaluate the segmentation accuracy of 4 algorithms, representative of the 3 fundamental state-of-the-art automated segmentation techniques and of a fourth, novel, technique.

Align: a C++ class library and web server for rapid sequence alignment prototyping.

Sequence alignment remains a fundamental tool in most tasks related to the prediction of protein sequence and structure. A C++ class library was developed to facilitate the rapid implementation of a variety of state-of-the-art pairwise sequence alignment techniques. These range from simple sequence to sequence to the advanced profile to profile alignments with optional secondary structure information.