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E S Lander

Publications and source records attributed to E S Lander.

170 records · Page 10Linked to original sources
PubMed1987

MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations.

With the advent of RFLPs, genetic linkage maps are now being assembled for a number of organisms including both inbred experimental populations such as maize and outbred natural populations such as humans. Accurate construction of such genetic maps requires multipoint linkage analysis of particular types of pedigrees. We describe here a computer package, called MAPMAKER, designed specifically for this purpose. The program uses an efficient algorithm that allows simultaneous multipoint analysis of any number of loci. MAPMAKER also includes an interactive command language that makes it easy for a geneticist to explore linkage data. MAPMAKER has been applied to the construction of linkage maps in a number of organisms, including the human and several plants, and we outline the mapping strategies that have been used.

Chromosome Mapping↗
PubMed1987

Construction of multilocus genetic linkage maps in humans.

Human genetic linkage maps are most accurately constructed by using information from many loci simultaneously. Traditional methods for such multilocus linkage analysis are computationally prohibitive in general, even with supercomputers. The problem has acquired practical importance because of the current international collaboration aimed at constructing a complete human linkage map of DNA markers through the study of three-generation pedigrees. We describe here several alternative algorithms for constructing human linkage maps given a specified gene order. One method allows maximum-likelihood multilocus linkage maps for dozens of DNA markers in such three-generation pedigrees to be constructed in minutes.

Algorithms↗
PubMed1986

Strategies for studying heterogeneous genetic traits in humans by using a linkage map of restriction fragment length polymorphisms.

Simple single-gene disorders in humans can be genetically mapped by using traditional methods of linkage analysis and increasingly abundant restriction fragment length polymorphisms (RFLPs). Many human diseases and traits, however, can be expected to be genetically heterogeneous (i.e., caused by any one of several genes), and traditional linkage analysis is much less effective in such circumstances. We present two methods, interval mapping and simultaneous search, designed to exploit the full power of a linkage map of the DNA markers. For the simplest situations, only 1/3 as many affected families are needed to map a heterogeneous trait by using these methods. Only 1/5-1/50 as many are needed to detect that genetic heterogeneity is present.

Chromosome Mapping↗
PubMedDate not supplied

Transcript identification on the CLN5 region on chromosome 13q22.

Our efforts to clone the CLN5 gene, mutated in a severe children's brain disease, variant late infantile neuronal ceroid lipofuscinosis (vLINCL, MIM256731), resulted in large-scale sequencing of genomic clones flanking the critical chromosomal region on 13q22. Computational and traditional transcript identification analyses of the resulting sequence were used to identify the disease gene. In addition to the identification of the CLN5 gene, this effort produced a large amount of genomic sequence data. Here, we report a transcription map of the 107 kb sequence in the CLN5 region, based on traditional and computational gene identification strategies. Several transcripts were identified in this sequence. Queries against the database of expressed sequence tags proved to be the most powerful tool for gene identification from large-scale sequence.

Adaptor Proteins, Signal Transducing↗
PubMedDate not supplied

A dictionary-based approach for gene annotation.

This paper describes a fast and fully automated dictionary-based approach to gene annotation and exon prediction. Two dictionaries are constructed, one from the nonredundant protein OWL database and the other from the dbEST database. These dictionaries are used to obtain O (1) time lookups of tuples in the dictionaries (4 tuples for the OWL database and 11 tuples for the dbEST database). These tuples can be used to rapidly find the longest matches at every position in an input sequence to the database sequences. Such matches provide very useful information pertaining to locating common segments between exons, alternative splice sites, and frequency data of long tuples for statistical purposes. These dictionaries also provide the basis for both homology determination, and statistical approaches to exon prediction.

Alternative Splicing↗
PubMedDate not supplied

Genes and genomes.

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Alleles↗