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James Ostell

dblp:02/6889 · also James M. Ostell · DBLP profile ↗
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6ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 6

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
6 papers
Bioinformatics and computational biology · 100%
Theoretical computer science
1 paper
Algorithms and data structures · 100%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics › genomic data management
genome database
0.021999
Complete genomes in WWW Entrez: data representation and analysis · Bioinform. 1999
GeneScape: a relational database of Escherichia coli genomic map data for Macintosh computers · Comput. Appl. Biosci. 1992
Bioinformatics and computational biology
sequence alignment
0.021997
A tool for aligning very similar DNA sequences · Comput. Appl. Biosci. 1997
A local alignment tool for very long DNA sequences · Comput. Appl. Biosci. 1995
Bioinformatics and computational biology
genomics
0.011999
Complete genomes in WWW Entrez: data representation and analysis · Bioinform. 1999
Bioinformatics and computational biology › sequence analysis › sequence assembly
contig assembly
0.011997
A tool for aligning very similar DNA sequences · Comput. Appl. Biosci. 1997
Bioinformatics and computational biology › sequence analysis
sequence assembly
0.011997
A tool for aligning very similar DNA sequences · Comput. Appl. Biosci. 1997
Bioinformatics and computational biology
structural bioinformatics
0.011995
MMDB: An ASN.1 Specification for Macromolecular Structure · ISMB 1995
Bioinformatics and computational biology › sequence analysis › database search
genomic sequence retrieval
0.011999
Complete genomes in WWW Entrez: data representation and analysis · Bioinform. 1999
Algorithms and data structures › sequence algorithms › string algorithms › string matching
approximate string matching
0.011990
An algorithm for searching restriction maps · Comput. Appl. Biosci. 1990

Methods — techniques the papers use, named apart from their topics

single-nucleotide change modeling · 0.0non-intersecting chain construction · 0.0dynamic programming · 0.0relational database · 0.0
YearPublicationVenuePosition
1999 Complete genomes in WWW Entrez: data representation and analysis
abstract
MOTIVATION: The large amount of genome sequence data now publicly available can be accessed through the National Center for Biotechnology Information (NCBI) Entrez search and retrieval system, making it possible to explore data of a breadth and scope exceeding traditional flatfile views. RESULTS: Here we report recent improvements for completely sequenced genomes from viruses, bacteria, and yeast. Flexible web based views, precomputed relationships, and immediate access to analytical tools provide scientists with a portal into the new insights to be gained from completed genome sequences. AVAILABILITY: Entrez Genomes can be accessed on the World Wide Web at http://www.ncbi.nlm.nih.gov/Entrez/Genome/ org.html.
Tatiana A. Tatusova, Ilene Karsch-Mizrachi, James Ostell
Bioinform.3
1997 A tool for aligning very similar DNA sequences
abstract
Results: We have produced a computer program, named sim3, that solves the following computational problem. Two DNA sequences are given, where the shorter sequence is very similar to some contiguous region of the longer sequence. Sim3 determines such a similar region of the longer sequence, and then computes an optimal set of single-nucleotide changes (i.e. insertions, deletions or substitutions) that will convert the shorter sequence to that region. Thus, the alignment scoring scheme is designed to model sequencing errors, rather than evolutionary processes. The program can align a 100 kb sequence to a 1 megabase sequence in a few seconds on a workstation, provided that there are very few differences between the shorter sequence and some region in the longer sequence. The program has been used to assemble sequence data for the Genomes Division at the National Center for Biotechnology Information. Availability: A version of sim3 for UNIX machines can be obtained by anonymous ftp from ncbi. nlm. nih. gov, in the pub/sim3 directory. Contact: For portable versions for Macs and PCs, contact zjing@sunset. nlm. nih. gov.
Kun-Mao Chao, James Ostell, Webb Miller
Comput. Appl. Biosci.3
1995 MMDB: An ASN.1 Specification for Macromolecular Structure
Hitomi Ohkawa, James Ostell, Stephen H. Bryant
ISMB2
1995 A local alignment tool for very long DNA sequences
abstract
This paper presents a practical program, called sim2, for building local alignments of two sequences, each of which may be hundreds of kilobases long. sim2 first constructs n best non-intersecting chains of 'fragments', such as all occurrences of identical 5-tuples in each of two DNA sequences, for any specified n > or = 1. Each chain is then refined by delivering an optimal alignment in a region delimited by the chain. sim2 requires only space proportional to the size of the input sequences and the output alignments, and the same source code runs on Unix machines, on Macintoshes, on PCs, and on DEC Alpha PCs. We also describe an application of sim2 for aligning long DNA sequences from Escherichia coli. sim2 facilitates contig-building by providing a complete view of the related sequences, so differences can be analyzed and inconsistencies resolved. Examples are shown using the alignment display and editing functions from the software tool ChromoScope.
Kun-Mao Chao, James Ostell, Webb Miller
Comput. Appl. Biosci.3
1992 GeneScape: a relational database of Escherichia coli genomic map data for Macintosh computers
abstract
We present a relational database program developed in FoxBase+/Mac for the viewing and manipulation of ordered restriction maps and associated features of the Escherichia coli genome including sequenced genes and the Kohara miniset of bacteriophage lambda clones. Use of this program allows easy access to the wealth of information being collected in a dataset of DNA sequences, maps and genetic data known as EcoSeq, EcoMap and EcoGene respectively.
Gerard G. Bouffard, James Ostell, Kenneth E. Rudd
Comput. Appl. Biosci.2
1990 An algorithm for searching restriction maps
abstract
This paper presents an algorithm that searches a DNA restriction enzyme map for regions that approximately match a shorter 'probe' map. Both the map and the probe consist of a sequence of address-enzyme pairs denoting restriction sites, and the algorithm penalizes a potential match for undetected or missing sites and for discrepancies in the distance between adjacent sites. The algorithm was designed specifically for comparing relatively short DNA sequences with a long restriction map, a problem that will become increasing common as large physical maps are generated. The algorithm has been used to extract information from a restriction map of the entire Escherichia coli genome.
Webb Miller, James Ostell, Kenneth E. Rudd
Comput. Appl. Biosci.2