@article {49747,
	title = {Protein quantification across hundreds of experimental conditions.},
	journal = {Proc Natl Acad Sci U S A},
	volume = {106},
	year = {2009},
	month = {2009 Sep 15},
	pages = {15544-8},
	abstract = {<p>Quantitative studies of protein abundance rarely span more than a small number of experimental conditions and replicates. In contrast, quantitative studies of transcript abundance often span hundreds of experimental conditions and replicates. This situation exists, in part, because extracting quantitative data from large proteomics datasets is significantly more difficult than reading quantitative data from a gene expression microarray. To address this problem, we introduce two algorithmic advances in the processing of quantitative proteomics data. First, we use space-partitioning data structures to handle the large size of these datasets. Second, we introduce techniques that combine graph-theoretic algorithms with space-partitioning data structures to collect relative protein abundance data across hundreds of experimental conditions and replicates. We validate these algorithmic techniques by analyzing several datasets and computing both internal and external measures of quantification accuracy. We demonstrate the scalability of these techniques by applying them to a large dataset that comprises a total of 472 experimental conditions and replicates.</p>},
	keywords = {algorithms, Animals, Automatic Data Processing, Chromatography, Liquid, Databases, Factual, Fungal Proteins, HUMANS, Isotopes, Mice, Proteins, proteomics, Tandem Mass Spectrometry},
	issn = {1091-6490},
	doi = {10.1073/pnas.0904100106},
	author = {Khan, Zia and Bloom, Joshua S and Garcia, Benjamin A and Singh, Mona and Kruglyak, Leonid}
}
@article {38383,
	title = {The minimum information about a genome sequence (MIGS) specification},
	journal = {Nature biotechnologyNature biotechnology},
	volume = {26},
	year = {2008},
	note = {http://www.ncbi.nlm.nih.gov/pubmed/18464787?dopt=Abstract},
	type = {10.1038/nbt1360},
	abstract = {With the quantity of genomic data increasing at an exponential rate, it is imperative that these data be captured electronically, in a standard format. Standardization activities must proceed within the auspices of open-access and international working bodies. To tackle the issues surrounding the development of better descriptions of genomic investigations, we have formed the Genomic Standards Consortium (GSC). Here, we introduce the minimum information about a genome sequence (MIGS) specification with the intent of promoting participation in its development and discussing the resources that will be required to develop improved mechanisms of metadata capture and exchange. As part of its wider goals, the GSC also supports improving the {\textquoteright}transparency{\textquoteright} of the information contained in existing genomic databases.},
	keywords = {Chromosome mapping, Databases, Factual, information dissemination, Information Storage and Retrieval, Information Theory, Internationality},
	author = {Field, Dawn and Garrity, George and Gray, Tanya and Morrison, Norman and J. Selengut and Sterk, Peter and Tatusova, Tatiana and Thomson, Nicholas and Allen, Michael J. and Angiuoli, Samuel V. and Ashburner, Michael and Axelrod, Nelson and Baldauf, Sandra and Ballard, Stuart and Boore, Jeffrey and Cochrane, Guy and Cole, James and Dawyndt, Peter and De Vos, Paul and DePamphilis, Claude and Edwards, Robert and Faruque, Nadeem and Feldman, Robert and Gilbert, Jack and Gilna, Paul and Gl{\"o}ckner, Frank Oliver and Goldstein, Philip and Guralnick, Robert and Haft, Dan and Hancock, David and Hermjakob, Henning and Hertz-Fowler, Christiane and Hugenholtz, Phil and Joint, Ian and Kagan, Leonid and Kane, Matthew and Kennedy, Jessie and Kowalchuk, George and Kottmann, Renzo and Kolker, Eugene and Kravitz, Saul and Kyrpides, Nikos and Leebens-Mack, Jim and Lewis, Suzanna E. and Li, Kelvin and Lister, Allyson L. and Lord, Phillip and Maltsev, Natalia and Markowitz, Victor and Martiny, Jennifer and Methe, Barbara and Mizrachi, Ilene and Moxon, Richard and Nelson, Karen and Parkhill, Julian and Proctor, Lita and White, Owen and Sansone, Susanna-Assunta and Spiers, Andrew and Stevens, Robert and Swift, Paul and Taylor, Chris and Tateno, Yoshio and Tett, Adrian and Turner, Sarah and Ussery, David and Vaughan, Bob and Ward, Naomi and Whetzel, Trish and San Gil, Ingio and Wilson, Gareth and Wipat, Anil}
}
@article {49702,
	title = {Splicing signals in Drosophila: intron size, information content, and consensus sequences.},
	journal = {Nucleic Acids Res},
	volume = {20},
	year = {1992},
	month = {1992 Aug 25},
	pages = {4255-62},
	abstract = {<p>A database of 209 Drosophila introns was extracted from Genbank (release number 64.0) and examined by a number of methods in order to characterize features that might serve as signals for messenger RNA splicing. A tight distribution of sizes was observed: while the smallest introns in the database are 51 nucleotides, more than half are less than 80 nucleotides in length, and most of these have lengths in the range of 59-67 nucleotides. Drosophila splice sites found in large and small introns differ in only minor ways from each other and from those found in vertebrate introns. However, larger introns have greater pyrimidine-richness in the region between 11 and 21 nucleotides upstream of 3{\textquoteright} splice sites. The Drosophila branchpoint consensus matrix resembles C T A A T (in which branch formation occurs at the underlined A), and differs from the corresponding mammalian signal in the absence of G at the position immediately preceding the branchpoint. The distribution of occurrences of this sequence suggests a minimum distance between 5{\textquoteright} splice sites and branchpoints of about 38 nucleotides, and a minimum distance between 3{\textquoteright} splice sites and branchpoints of 15 nucleotides. The methods we have used detect no information in exon sequences other than in the few nucleotides immediately adjacent to the splice sites. However, Drosophila resembles many other species in that there is a discontinuity in A + T content between exons and introns, which are A + T rich.</p>},
	keywords = {Animals, Base Sequence, Consensus Sequence, Databases, Factual, Drosophila, Introns, Molecular Sequence Data, RNA Splicing, RNA, Messenger, software},
	issn = {0305-1048},
	author = {Mount, S M and Burks, C and Hertz, G and Stormo, G D and White, O and Fields, C}
}
