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E Veklerov

Publications and source records attributed to E Veklerov.

4 recordsLinked to original sources
PubMed1996

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. MTT (Move-Track-Trim) is a software package analyzing the quality of the lanes. It subjects each lane to a series of tests, and if a lane does not pass all tests, it is flagged as a "bad" lane. The use has a chance to examine both the "good" and the "bad" lanes and reclassify a "bad" lane as "good," or vice versa. Alternatively, the user may decide to retrack the gel or get rid of some lanes altogether. As a by-product of the analysis, MTT performs other useful functions. It trims the lanes and compresses the lane files and moves them to the directories where assembly is carried out. It also generates some useful statistics describing the quality of the gel.

Base Sequence↗
PubMed1995

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. TRAMP has been in daily use by the sequencing team at LBL since it was introduced in the Spring of 1994. It is applicable to any sequencing project utilizing the directed strategy.

Algorithms↗
PubMed1993

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. Data from 90 datasets were used for the study. Of those, 42 were left in their original "normal" condition and 48 were modified by added lesions. All datasets were reconstructed by the two methods and submitted to the five physicians for evaluation. The results show an increase in the area under the ROC curve from approximately 0.65 for filtered backprojection to approximately 0.71 for the maximum likelihood reconstructions for four of the five observers with good statistical significance.

Brain↗