Bibliography
Below is a list of the publications referred to in our software, in the user manuals and the papers listed in the Bioinformatics Explained section.
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Local alignment statistics.
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Basic local alignment search tool.
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An SNP map of the human genome generated by reduced representation shotgun sequencing.
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Differential expression in SAGE: accounting for normal between-library variation
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The Pfam protein families database.
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The Pfam protein families database.
Nucleic Acids Res., 32, D138-D141
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Alex Bateman; Lachlan Coin; Richard Durbin; Robert D Finn; Volker Hollich; Sam Griffiths-Jones; Ajay Khanna; Mhairi Marshall; Simon Moxon; Erik L L Sonnhammer; David J Studholme; Corin Yeats & Sean R Eddy:
The Pfam protein families database.
Nucleic Acids Res, 32, D138-D141
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Bioinformatics
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Non-classical protein secretion in bacteria.
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Jannick Dyrløv Bendtsen; Henrik Nielsen; Gunnar von Heijne & Søren Brunak:
Improved prediction of signal peptides: SignalP 3.0.
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Benjamini, Y. & Hochberg, Y.:
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A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
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Thermodynamic parameters for DNA sequences with dangling ends.
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Quality scores and SNP detection in sequencing-by-synthesis systems.
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The essence of SNPs.
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Gang Chen; Brent M Znosko; Xiaoqi Jiao & Douglas H Turner:
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BRCA1--lots of mutations, lots of dilemmas.
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A DNA polymorphism discovery resource for research on human genetic variation.
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The UniiProt Consortium:
The Universal Protein Resource (UniProt).
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Richard Durbin; Sean R. Eddy; Anders Krogh & Graeme Mitchison:
Biological sequence analysis
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Sean R. Eddy:
Where did the BLOSUM62 alignment score matrix come from?
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Eddy (2003)
Sean R. Eddy:
The HMMER User's Guide (biological sequence analysis using profile hidden Markov models)
Howard Hughes Medical Institute and Dept. of Genetics , Washington University School of Medicine, http://hmmer.wustl.edu/
Eddy (1998)
Sean R. Eddy:
Profile hidden Markov models
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Edgar (2004)
Robert C Edgar:
MUSCLE: a multiple sequence alignment method with reduced time and space complexity.
BMC Bioinformatics, 5, 113
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Edgar (2004)
Robert C Edgar:
MUSCLE: multiple sequence alignment with high accuracy and high throughput.
Nucleic Acids Res, 32, 1792-1797
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Edgar and Batzoglou (2006)
Robert C Edgar & Serafim Batzoglou:
Multiple sequence alignment.
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Falcon, S. & Gentleman, R.:
Using GOstats to test gene lists for GO term association
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Evolutionary trees from DNA sequences: a maximum likelihood approach.
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Progressive sequence alignment as a prerequisite to correct phylogenetic trees
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Progressive sequence alignment as a prerequisite to correct phylogenetic trees.
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Pfam: clans, web tools and services.
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A Simple, Fast, and Accurate Algorithm to Estimate Large Phylogenies by Maximum Likelihood
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Uncoupling proteins provide new clue to obesity's causes.
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