A semi-automated method for the reading of nucleic acid sequencing gels

Finding errors in DNA sequences

An algorithm is described that can detect certain errors within coding regions of DNA sequences. The algorithm is based on the idea that an insertion or deletion error within a coding sequence would interrupt the reading frame and cause the correct translation of a DNA sequence to require one or more frameshifts. If the coding sequence shows similarity to a known protein sequence then such errors can be detected by comparing the conceptual translations of DNA sequences in all six reading frames with every sequence in a protein sequence data base. We have incorporated these ideas into a computer program, called DETECT, that can serve as an aid to the experimentalist who is determining new DNA sequences so that obvious errors may be located and corrected. The program has been tested using raw experimental data and against sequences from the European Molecular Biology Laboratory data base, annotated as containing frameshifts. We have also tested it using unidentified open reading frames that flank known, annotated genes in the GenBank data base. Many potential errors are apparent and in some cases functions can be suggested for the "corrected" versions of these reading frames leading to the identification of new genes. As more sequences are determined the power of this method will increase substantially.

A computer program for translating DNA sequences into protein

This paper describes a comprehensive program for translating one or two DNA sequences into amino acid sequences. Written in FORTRAN, it was designed for maximum flexibility of use and easy maintenance, modification and portability. It has full comments throughout.

A comprehensive package for DNA sequence analysis in FORTRAN IV for the PDP-11

A computer package written in Fortran-IV for the PDP-11 minicomputer is described. The package's novel features are: software for voice-entry of sequence data; a less memory intensive algorithm for optimal sequence alignment; and programs that fit statistical models to nucleic acid and protein sequences.

Analysis of biological sequences on small computers

We review a wide range of programs for micro- and minicomputers that facilitate the collection and analysis of DNA, RNA, or protein sequences. Special-purpose programs that perform a single function and general-purpose programs that perform a set of functions are both considered. The information presented should be useful to any biologist who wishes to obtain a computer program to aid in sequence investigations.

Interactive computer programs for the graphic analysis of nucleotide sequence data

A group of interactive computer programs have been developed which aid in the collection and graphical analysis of nucleotide and protein sequence data. The programs perform the following basic functions: a) enter, edit, list, and rearrange sequence data; b) permit automatic entry of nucleotide sequence data directly from an autoradiograph into the computer; c) search for restriction sites or other specified patterns and plot a linear or circular restriction map, or print their locations; d) plot base composition; e) analyze homology between sequences by plotting a two-dimensional graphic matrix; and f) aid in plotting predicted secondary structures of RNA molecules.

A computer program to enter DNA gel reading data into a computer

This paper describes a simple program that uses a digitizing device to enter DNA sequences directly from autoradiographs into a computer.

Computer programs for handling nucleic acid sequences

Programs have been developed that will accurately display restriction enzyme maps, open translational reading frames and the results of specific searches on a high resolution graphics terminal (Retrographics VT640). Many of our earlier programs have been upgraded to allow online access to GENBANK, the NIH data bank of DNA sequences and also to deal with sequences of any length. Progress has also been made in the automation of the DNA assembly programs.

An inexpensive semi-automated sequence reader for the Apple II computer

We describe a relatively inexpensive digitizing pad, available from Houston Instruments, for which we have written software which allows the direct reading of DNA (or RNA) sequencing gel autoradiographs. This eliminates several sources of error in nucleic acid sequencing, and renders computer analysis less cumbersome.

Computer-based image analysis of one-dimensional electrophoretic gels used for the separation of DNA restriction fragments

A stand-alone, interactive computer system has been developed that automates the analysis of ethidium bromide-stained agarose and acrylamide gels on which DNA restriction fragments have been separated by size. High-resolution digital images of the gels are obtained using a camera that contains a one-dimensional, 2048-pixel photodiode array that is mechanically translated through 2048 discrete steps in a direction perpendicular to the gel lanes. An automatic band-detection algorithm is used to establish the positions of the gel bands. A color-video graphics system, on which both the gel image and a variety of operator-controlled overlays are displayed, allows the operator to visualize and interact with critical stages of the analysis. The principal interactive steps involve defining the regions of the image that are to be analyzed and editing the results of the band-detection process. The system produces a machine-readable output file that contains the positions, intensities, and descriptive classifications of all the bands, as well as documentary information about the experiment. This file is normally further processed on a larger computer to obtain fragment-size assignments.

The isolation and characterization of the Escherichia coli DNA adenine methylase (dam) gene

The E. coli dam (DNA adenine methylase) enzyme is known to methylate the sequence GATC. A general method for cloning sequence-specific DNA methylase genes was used to isolate the dam gene on a 1.14 kb fragment, inserted in the plasmid vector pBR322. Subsequent restriction mapping and subcloning experiments established a set of approximate boundaries of the gene. The nucleotide sequence of the dam gene was determined, and analysis of that sequence revealed a unique open reading frame which corresponded in length to that necessary to code for a protein the size of dam. Amino acid composition derived from this sequence corresponds closely to the amino acid composition of the purified dam protein. Enzymatic and DNA:DNA hybridization methods were used to investigate the possible presence of dam genes in a variety of prokaryotic organisms.

Kilo-sequencing: an ordered strategy for rapid DNA sequence data acquisition

A strategy for rapid DNA sequence acquisition in an ordered, nonrandom manner, while retaining all of the conveniences of the dideoxy method with M13 transducing phage DNA template, is described. Target DNA 3 to 14 kb in size can be stably carried by our M13 vectors. Suitable targets are stretches of DNA which lack an enzyme recognition site which is unique on our cloning vectors and adjacent to the sequencing primer; current sites that are so useful when lacking are Pst, Xba, HindIII, BglII, EcoRI. By an in vitro procedure, we cut RF DNA once randomly and once specifically, to create thousands of deletions which start at the unique restriction site adjacent to the dideoxy sequencing primer and extend various distances across the target DNA. Phage carrying a desired size of deletions, whose DNA as template will give rise to DNA sequence data in a desired location along the target DNA, may be purified by electrophoresis alive on agarose gels. Phage running in the same location on the agarose gel thus conveniently give rise to nucleotide sequence data from the same kilobase of target DNA.

Measurement of DNA length by gel electrophoresis. I. Improved accuracy of mobility measurements using a digital microdensitometer and computer processing

The electrophoretic mobilities of DNA polymer fragments in an agarose gel have been measured from a photograph of the gel by different methods and converted to lengths by the reciprocal method. The method of measurement can introduce large errors in the length estimates. The use of a digital microdensitometer to obtain optical density profiles of gel tracks with subsequent computer processing to find peak positions was found to give the most accurate DNA lengths.