MTT: a software tool for quality control in sequence assembly.

A large-scale sequencing project requires a tool to control the quality of the input data because a sizable number of trace data may be of low quality. If these data are allowed to enter the sequence assembly pipeline, harm will be done. Hence, it is important to detect such data as soon as possible.

TRAMP: a software package for generating transposon maps.

TRAMP is a software package for generating transposon maps that are used for DNA sequencing. The package provides a variety of automated tools that can always be overridden by the user. The central part of the package is its selection algorithm that finds the most robust map with the smallest number of inserts.

How to compute the difference between tomographic images.

An algorithm for estimating the difference between two tomographic images is proposed if the two data vectors are obtained in nonoverlapping time intervals. The algorithm takes advantage of statistical independence of the two vectors. The results are significantly different from the traditional approach in which the two images are reconstructed separately and then subtracted.

Results of a clinical receiver operating characteristic study comparing filtered backprojection and maximum likelihood estimator images in FDG PET studies.

The results of a receiver operator characteristic (ROC) study comparing maximum likelihood estimator (MLE) reconstructions of human FDG PET brain scan data to filtered backprojection reconstructions of the same data are reported. The purpose of the study was to determine whether MLE reconstructions would result in higher detectability of small focal lesions introduced artificially into otherwise normal scan data. One physician assisted in defining the location and intensity of the lesions and five physicians read the final images.

Statistical analysis of maximum likelihood estimator images of human brain FDG PET studies.

The work presented evaluates the statistical characteristics of regional bias and expected error in reconstructions of real positron emission tomography (PET) data of human brain fluoro-deoxiglucose (FDG) studies carried out by the maximum likelihood estimator (MLE) method with a robust stopping rule, and compares them with the results of filtered backprojection (FBP) reconstructions and with the method of sieves. The task of evaluating radioisotope uptake in regions-of-interest (ROIs) is investigated. An assessment of bias and variance in uptake measurements is carried out with simulated data.