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Chris B. Littler

dblp:388/0368 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2

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 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis › sequence assembly
EST assembly
0.011997
A new dynamic tool to perform assembly of expressed sequence tags (ESTs) · Comput. Appl. Biosci. 1997
Bioinformatics and computational biology › sequence analysis
sequence clustering
0.011997
A new dynamic tool to perform assembly of expressed sequence tags (ESTs) · Comput. Appl. Biosci. 1997

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

dynamic programming · 0.0
YearPublicationVenuePosition
1998 Automated management of gene discovery projects
abstract
UNLABELLED: The paper reports on programs, organization and Hypertext Mark-up Language (HTML) presentation provided by the Hierarchical Automated Gene Identification System (HAGIS) designed for managing sequencing projects. AVAILABILITY: On request from the authors. CONTACT: [email protected]
Charlie Hodgman, Chris B. Littler, Roger A. Sayle, Robert W. Gill, Marcus D. Oxer, C. H. O'Donnell, Andrew Lyall
Bioinform.3
1997 A new dynamic tool to perform assembly of expressed sequence tags (ESTs)
abstract
MOTIVATION: Expressed Sequence Tags (ESTs) are short single-pass DNA sequences obtained from either ends of cDNA clones. To exploit these sequences efficiently, a dynamic Web-tool has been developed which uses these data to perform fast virtual cloning of cDNAs. RESULTS: Starting with a query sequence, the user is able to identify related ESTs and extend the sequence of interest step by step, possibly to a full-length transcript. Graphical views of the clustering are used to monitor the progress of a particular 'cloning' project. Potential open reading frames are detected by positional base preference, and hyperlinks to other Worldwide Web sites allows the user to retrieve information relevant to each EST in a cluster (e.g. sequence traces, clone size, plate position). Apart from cDNA cloning, this tool also provides a mechanism for collating gene families and polymorphism sites.
Robert W. Gill, Charlie Hodgman, Chris B. Littler, Marcus D. Oxer, Douglas S. Montgomery, Philippe Sanseau
Comput. Appl. Biosci.3