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Andrzej K. Konopka

dblp:48/4697 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1988
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2 · 1 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
2 papers
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
sequence analysis
0.021988
A fixed-point alignment technique for detection of recurrent and common sequence motifs associated with biological features · Comput. Appl. Biosci. 1988
DISTAN--a program which detects significant distances between short oligonucleotides · Comput. Appl. Biosci. 1987
Bioinformatics and computational biology
sequence alignment
0.011988
A fixed-point alignment technique for detection of recurrent and common sequence motifs associated with biological features · Comput. Appl. Biosci. 1988
Bioinformatics and computational biology › sequence analysis › motif discovery
sequence motif detection
0.011988
A fixed-point alignment technique for detection of recurrent and common sequence motifs associated with biological features · Comput. Appl. Biosci. 1988
Bioinformatics and computational biology
genomics
0.011987
DISTAN--a program which detects significant distances between short oligonucleotides · Comput. Appl. Biosci. 1987

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

frequency ratio analysis · 0.0
YearPublicationVenuePosition
1988 A fixed-point alignment technique for detection of recurrent and common sequence motifs associated with biological features
abstract
A fixed-point alignment analysis technique is presented which is designed to locate common sequence motifs in collections of proteins or nucleic acids. Initially a program aligns a collection of sequences by a common sequence pattern or known biological feature. The common pattern or feature (fixed-point) may be a user-specified sequence string or a known sequence position like mRNA start site, which may be taken directly from the annotated feature table of GenBank. Once all alignment markers are located, the sequences are scanned for occurrences of given oligomers within a specified span both upstream and downstream of the fixed-point. The occurrences may then be plotted as a function of the position relative to the fixed-point, displayed as an actual sequence alignment or selectively summarized via various program options. Applications of the technique are discussed.
John Owens, Devjani Chatterjee, Ruth Nussinov, Andrzej K. Konopka, Jacob V. Maizel Jr.
Comput. Appl. Biosci.4
1987 DISTAN--a program which detects significant distances between short oligonucleotides
abstract
We present an algorithm to detect distances between oligonucleotides in large collections of nucleic acids sequences. The ratios of actual frequencies of occurrence of short oligonucleotides at a given distance to the corresponding expected frequencies were analyzed in four categories of DNA sequences leukaryotic exons, bacterial genes, introns and non-Alu repeated DNAs). Three base periodic occurrences (independent of the reading frame) of all combinations of mononucleotides and repeats of all dinucleotides was characteristic for protein coding regions. This was also the case with the majority of trinucleotides (including translational stop signals) in these regions. Mirror-symmetric trinucleotides (except GCG and CGC) displayed a strong tendency to be two base periodically repeated in introns. Some two and three base periodic motifs were also observed in repeated DNAs. The possible biological implications of outstanding three base periodicities in bacterial genes and eukaryotic exons are discussed.
Andrzej K. Konopka, G. W. Smythers
Comput. Appl. Biosci.1