Sean D Hooper
Overview
Explore the profile of Sean D Hooper including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
30
Citations
2563
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
11.
Hooper S, Dalevi D, Pati A, Mavromatis K, Ivanova N, Kyrpides N
Bioinformatics
. 2009 Dec;
26(3):295-301.
PMID: 20008478
Motivation: Shotgun sequencing generates large numbers of short DNA reads from either an isolated organism or, in the case of metagenomics projects, from the aggregate genome of a microbial community....
12.
Mavromatis K, Chu K, Ivanova N, Hooper S, Markowitz V, Kyrpides N
PLoS One
. 2009 Dec;
4(11):e7979.
PMID: 19956731
Computational methods for determining the function of genes in newly sequenced genomes have been traditionally based on sequence similarity to genes whose function has been identified experimentally. Function prediction methods...
13.
Hugenholtz P, Hooper S, Kyrpides N
Environ Microbiol
. 2009 Jul;
11(6):1327-9.
PMID: 19635113
No abstract available.
14.
Anderson I, Ulrich L, Lupa B, Susanti D, Porat I, Hooper S, et al.
PLoS One
. 2009 Jun;
4(6):e5797.
PMID: 19495416
Background: Methanomicrobiales is the least studied order of methanogens. While these organisms appear to be more closely related to the Methanosarcinales in ribosomal-based phylogenetic analyses, they are metabolically more similar...
15.
Pavlopoulos G, Moschopoulos C, Hooper S, Schneider R, Kossida S
Bioinformatics
. 2009 May;
25(15):1994-6.
PMID: 19454618
Unlabelled: jClust is a user-friendly application which provides access to a set of widely used clustering and clique finding algorithms. The toolbox allows a range of filtering procedures to be...
16.
Hooper S, Mavromatis K, Kyrpides N
Genome Biol
. 2009 Apr;
10(4):R45.
PMID: 19393086
Background: Determining the habitat range for various microbes is not a simple, straightforward matter, as habitats interlace, microbes move between habitats, and microbial communities change over time. In this study,...
17.
Pavlopoulos G, Pafilis E, Kuhn M, Hooper S, Schneider R
Bioinformatics
. 2009 Feb;
25(7):977-8.
PMID: 19223449
Unlabelled: OnTheFly is a web-based application that applies biological named entity recognition to enrich Microsoft Office, PDF and plain text documents. The input files are converted into the HTML format...
18.
Hooper S, Anderson I, Pati A, Dalevi D, Mavromatis K, Kyrpides N
Nucleic Acids Res
. 2009 Feb;
37(7):2096-104.
PMID: 19223325
In order to simplify and meaningfully categorize large sets of protein sequence data, it is commonplace to cluster proteins based on the similarity of those sequences. However, it quickly becomes...
19.
Mavromatis K, Ivanova N, Anderson I, Lykidis A, Hooper S, Sun H, et al.
PLoS One
. 2009 Jan;
4(1):e4192.
PMID: 19145256
Halothermothirx orenii is a strictly anaerobic thermohalophilic bacterium isolated from sediment of a Tunisian salt lake. It belongs to the order Halanaerobiales in the phylum Firmicutes. The complete sequence revealed...
20.
Dalevi D, Ivanova N, Mavromatis K, Hooper S, Szeto E, Hugenholtz P, et al.
Bioinformatics
. 2008 Aug;
24(16):i7-13.
PMID: 18689842
Motivation: A typical metagenome dataset generated using a 454 pyrosequencing platform consists of short reads sampled from the collective genome of a microbial community. The amount of sequence in such...