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A. Jamie Cuticchia

dblp:12/2674 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 2001
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 4 · 3 first-author

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
4 papers
Bioinformatics and computational biology · 100%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
genomics
0.012001
Compositional symmetries in complete genomes · Bioinform. 2001
Bioinformatics and computational biology › genomics
physical mapping
0.031993
ODS: ordering DNA sequences - a physical mapping algorithm based on simulated annealing · Comput. Appl. Biosci. 1993
PCAP: probe choice and analysis package - a set of programs to aid in choosing synthetic oligomers for contig mapping · Comput. Appl. Biosci. 1993
CMAP: contig mapping and analysis package, a relational database for chromosome reconstruction · Comput. Appl. Biosci. 1992
Bioinformatics and computational biology › sequence analysis › sequence assembly
contig assembly
0.021993
CMAP: contig mapping and analysis package, a relational database for chromosome reconstruction · Comput. Appl. Biosci. 1992
PCAP: probe choice and analysis package - a set of programs to aid in choosing synthetic oligomers for contig mapping · Comput. Appl. Biosci. 1993
Bioinformatics and computational biology › genomics › physical mapping
clone ordering
0.011993
ODS: ordering DNA sequences - a physical mapping algorithm based on simulated annealing · Comput. Appl. Biosci. 1993
Bioinformatics and computational biology › sequence analysis › primer and probe design
oligonucleotide probe selection
0.011993
PCAP: probe choice and analysis package - a set of programs to aid in choosing synthetic oligomers for contig mapping · Comput. Appl. Biosci. 1993
Bioinformatics and computational biology
biological database
0.011992
CMAP: contig mapping and analysis package, a relational database for chromosome reconstruction · Comput. Appl. Biosci. 1992

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

simulated annealing · 0.0oligonucleotide frequency analysis · 0.0g+c content constraint · 0.0relational database · 0.0dynamic SQL · 0.0
YearPublicationVenuePosition
2001 Compositional symmetries in complete genomes
abstract
Dong Qi, A. Jamie Cuticchia; Compositional symmetries in complete genomes , Bioinformatics, Volume 17, Issue 6, 1 June 2001, Pages 557–559, https://doi.org
Dong Qi, A. Jamie Cuticchia
Bioinform.2
1993 PCAP: probe choice and analysis package - a set of programs to aid in choosing synthetic oligomers for contig mapping
abstract
In the program, PCAP, we provide a methodology for choosing synthetic oligonucleotide probes to be used in contig mapping experiments. The package serves the purpose of presenting a series of short oligonucleotides (8-12mers) that are chosen based on constraints with respect to frequency of occurrence within a particular genome and the G+C content of the oligonucleotides. The four programs contained within the package: (i) convert GenBank files to a format useable by the package; (ii) calculate trinucleotide and tetranucleotide frequencies in available sequence data on a particular species; (iii) present the user with upper and lower bounds on the frequencies of hybridization sites for oligonucleotide probes of length 8-12, (iv) allow the user to place constraints on site frequency and G+C content and provides a list of short probe sequences that fit these criteria. These sequences can then be synthetically produced and used in hybridization experiments to carry out contig mapping.
A. Jamie Cuticchia, Jonathan P. Arnold, William E. Timberlake
Comput. Appl. Biosci.1
1993 ODS: ordering DNA sequences - a physical mapping algorithm based on simulated annealing
abstract
In the program ODS we provide a methodology for quickly ordering random clones into a physical map. The process of ordering individual clones with respect to their position along a chromosome is based on the similarity of binary signatures assigned to each clone. This binary signature is obtained by hybridizing each clone to a panel of oligonucleotide probes. By using the fact that the amount of overlap between any two clones is reflected in the similarity of their binary signatures, it is possible to reconstruct a chromosome by minimizing the sum of linking distances between an ordered sequence of clones. Unlike other programs for physical mapping, ODS is very general in the types of data that can be utilized for chromosome reconstruction. Any trait that can be scored in a presence--absence manner, such as hybridized synthetic oligonucleotides, restriction endonuclease recognition sites or single copy landmarks, can be used for analysis. Furthermore, the computational requirements for the construction of large physical maps can be measured in a matter of hours on work-stations such as the VAX2000.
A. Jamie Cuticchia, Jonathan P. Arnold, William E. Timberlake
Comput. Appl. Biosci.1
1992 CMAP: contig mapping and analysis package, a relational database for chromosome reconstruction
abstract
In the contig mapping and analysis package, CMAP, we provide a foundation for reverse genetics by organizing information about DNA fragments obtained from an organism's genome into a physical map. The user can store information about a particular segment of DNA. This information can be both descriptive, such as any genes contained in a particular DNA fragment, or experimental, such as hybridization profiles or restriction digest patterns for comparison with other fragments. The package can then be instructed to update the physical map or provide information on a DNA fragment within the map, such as its location. The user interface is designed to minimize the learning curve associated with database usage, while eliminating the possibility of entering data outside the ranges of fields through error-checking protocols. Queries are currently accomplished by the use of dynamic SQL (structured query language), which gives the user the ability to build queries based on any combination of the attributes contained within the database without requiring that all possible queries be permanently programmed within the query software. In order to eliminate the need for knowledge of SQL, an interface was designed to allow users to build queries by menu choices. Thus, CMAP is a software package supporting a database for both the production and storage of a physical map as well as being the first step toward the production of a physical mapping workstation.
A. Jamie Cuticchia, Jonathan P. Arnold, H. Brody, William E. Timberlake
Comput. Appl. Biosci.1