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1.
215574 Accesses
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Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes
Jo Vandesompele, Katleen De Preter, Filip Pattyn, Bruce Poppe, Nadine Van Roy, Anne De Paepe, Frank Speleman Genome Biology 2002, 3:research0034-research0034.11 (18 June 2002)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central |
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Editor’s summary
Using real-time reverse transcription PCR ten housekeeping genes from different abundance and functional classes in various human tissues were evaluated. The conventional use of a single gene for normalization leads to relatively large errors in a significant proportion of samples tested.
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2.
151238 Accesses
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A Faustian bargain
Gregory A Petsko Genome Biology 2010, 11:138 (31 October 2010)
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Editor’s summary
An open letter to George M Philip, President of the State University of New York At Albany.
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3.
110909 Accesses
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Ultrafast and memory-efficient alignment of short DNA sequences to the human genome
Ben Langmead, Cole Trapnell, Mihai Pop, Steven L Salzberg Genome Biology 2009, 10:R25 (4 March 2009)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
Bowtie: a new ultrafast memory-efficient tool for the alignment of short DNA sequence reads to large genomes.
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4.
88231 Accesses
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Bioconductor: open software development for computational biology and bioinformatics
Robert C Gentleman, Vincent J Carey, Douglas M Bates, Ben Bolstad, Marcel Dettling, Sandrine Dudoit, Byron Ellis, Laurent Gautier, Yongchao Ge, Jeff Gentry, Kurt Hornik, Torsten Hothorn, Wolfgang Huber, Stefano Iacus, Rafael Irizarry, Friedrich Leisch, Cheng Li, Martin Maechler, Anthony J Rossini, Gunther Sawitzki, Colin Smith, Gordon Smyth, Luke Tierney, Jean YH Yang, Jianhua Zhang Genome Biology 2004, 5:R80 (15 September 2004)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
A detailed description of the aims and methods of the Bioconductor project, an initiative for the collaborative creation of extensible software for computational biology and bioinformatics.
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5.
73185 Accesses
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Evaluation of next generation sequencing platforms for population targeted sequencing studies
Olivier Harismendy, Pauline C Ng, Robert L Strausberg, Xiaoyun Wang, Timothy B Stockwell, Karen Y Beeson, Nicholas J Schork, Sarah S Murray, Eric J Topol, Samuel Levy, Kelly A Frazer Genome Biology 2009, 10:R32 (27 March 2009)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
| F1000 Biology
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Editor’s summary
Human sequence generated from three next-generation sequencing platforms reveals systematic variability in sequence coverage due to local sequence characteristics.
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6.
72050 Accesses
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CellProfiler: image analysis software for identifying and quantifying cell phenotypes
Anne E Carpenter, Thouis R Jones, Michael R Lamprecht, Colin Clarke, In Kang, Ola Friman, David A Guertin, Joo Chang, Robert A Lindquist, Jason Moffat, Polina Golland, David M Sabatini Genome Biology 2006, 7:R100 (31 October 2006)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
CellProfiler, the first free, open-source system for flexible and high-throughput cell image analysis is described.
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7.
71081 Accesses
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Differential expression analysis for sequence count data
Simon Anders, Wolfgang Huber Genome Biology 2010, 11:R106 (27 October 2010)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central |
| F1000 Biology
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Editor’s summary
DEseq allows the determination of differential expression of read count data from RNA-seq or ChIP-seq experiments
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8.
61993 Accesses
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Categorization of humans in biomedical research: genes, race and disease
Neil Risch, Esteban Burchard, Elad Ziv, Hua Tang Genome Biology 2002, 3:comment2007-comment2007.12 (1 July 2002)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
A debate has arisen regarding the validity of racial/ethnic categories for biomedical and genetic research. An epidemiologic perspective on the issue of human categorization in biomedical and genetic research strongly supports the continued use of self-identified race and ethnicity.
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9.
58661 Accesses
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A scaling normalization method for differential expression analysis of RNA-seq data
Mark D Robinson, Alicia Oshlack Genome Biology 2010, 11:R25 (2 March 2010)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
A novel and empirical method for normalization of RNA-seq data is presented
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10.
58480 Accesses
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From RNA-seq reads to differential expression results
Alicia Oshlack, Mark D Robinson, Matthew D Young Genome Biology 2010, 11:220 (22 December 2010)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
Many methods and tools are available for preprocessing high-throughput RNA sequencing data and detecting differential expression.
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11.
54991 Accesses
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The human olfactory receptor repertoire
Sergey Zozulya, Fernando Echeverri, Trieu Nguyen Genome Biology 2001, 2:research0018-research0018.12 (1 June 2001)
Abstract | Full text | PDF
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Editor’s summary
The identification and cloning of 347 putative human full-length odorant receptor genes is an important initial step in understanding receptor-ligand specificity and combinatorial encoding of odorant stimuli in human olfaction.
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12.
51637 Accesses
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Model-based Analysis of ChIP-Seq (MACS)
Yong Zhang, Tao Liu, Clifford A Meyer, Jérôme Eeckhoute, David S Johnson, Bradley E Bernstein, Chad Nusbaum, Richard M Myers, Myles Brown, Wei Li, X Shirley Liu Genome Biology 2008, 9:R137 (17 September 2008)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
MACS performs model-based analysis of ChIP-Seq data generated by short read sequencers.
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13.
50020 Accesses
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MicroRNA targets in Drosophila
Anton J Enright, Bino John, Ulrike Gaul, Thomas Tuschl, Chris Sander, Debora S Marks Genome Biology 2003, 5:R1 (12 December 2003)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
| F1000 Biology
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Editor’s summary
A computational method for whole-genome prediction of microRNA target genes is presented. Application of this method to the Drosophila melanogaster, Drosophila pseudoobscura and Anopheles gambiae genomes identifies several hundred target genes potentially regulated by one or more known microRNAs.
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14.
48163 Accesses
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'Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns
Trevor Hastie, Robert Tibshirani, Michael B Eisen, Ash Alizadeh, Ronald Levy, Louis Staudt, Wing C Chan, David Botstein, Patrick Brown Genome Biology 2000, 1:research0003-research0003.21 (4 August 2000)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
A statistical method called 'gene shaving' can be used to analyze data from large gene expression studies. The method identifies subsets of genes with coherent expression patterns and large variation across conditions. Gene expression measurements made on samples from patients with diffuse large B-cell lymphoma were analyzed using the gene shaving method. A small cluster of genes whose expression is highly predictive of survival was identified.
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15.
45569 Accesses
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Overview of the voltage-gated sodium channel family
Frank H Yu, William A Catterall Genome Biology 2003, 4:207 (24 February 2003)
Abstract | Full text | PDF
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Editor’s summary
Different sodium channels have remarkably similar functional properties, but small changes in sodium-channel function are biologically relevant, as underscored by mutations that cause several human diseases of hyperexcitability.
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16.
45120 Accesses
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The transposable elements of the Drosophila melanogaster euchromatin: a genomics perspective
Joshua S Kaminker, Casey M Bergman, Brent Kronmiller, Joseph Carlson, Robert Svirskas, Sandeep Patel, Erwin Frise, David A Wheeler, Suzanna E Lewis, Gerald M Rubin, Michael Ashburner, Susan E Celniker Genome Biology 2002, 3:research0084-0084.20 (23 December 2002)
Abstract | Full text | PDF
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Editor’s summary
Using Release 3 of the euchromatic genomic sequence of Drosophila melanogaster, 85 known and eight novel families of transposable element have been identified, varying in copy number from one to 146. A total of 1,572 full and partial transposable elements were identified, comprising 3.86% of the sequence.
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17.
45041 Accesses
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A tale of histone modifications
Patrick A Grant Genome Biology 2001, 2:reviews0003-reviews0003.6 (5 April 2001)
Abstract | Full text | PDF
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Editor’s summary
The modification of chromatin structure is important for a number of nuclear functions, exemplified by the regulation of transcription. This review discusses recent studies of covalent histone modifications and the enzymatic machines that generate them.
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18.
43858 Accesses
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Statistical tests for differential expression in cDNA microarray experiments
Xiangqin Cui, Gary A Churchill Genome Biology 2003, 4:210 (17 March 2003)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
The simplest statistical method for extracting biological information from microarray data is the t test. Analysis of variance (ANOVA) and the mixed ANOVA model are general and powerful approaches for more complex microarray experiments.
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19.
43484 Accesses
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Deciphering cellular states of innate tumor drug responses
Esther Graudens, Virginie Boulanger, Cindy Mollard, Régine Mariage-Samson, Xavier Barlet, Guilaine Grémy, Christine Couillault, Malika Lajémi, Dominique Piatier-Tonneau, Patrick Zaborski, Eric Eveno, Charles Auffray, Sandrine Imbeaud Genome Biology 2006, 7:R19 (15 March 2006)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
Nearly 700 genes were identified that are differently expressed between tumors of patients with colorectal cancer who subsequently responded well to combined chemotherapy and those of patients who were resistant to the therapy.
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20.
43102 Accesses
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Fibroblast growth factors
David M Ornitz, Nobuyuki Itoh Genome Biology 2001, 2:reviews3005-reviews3005.12 (9 March 2001)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
Fibroblast growth factors (FGFs) are a large family of peptide growth factors that require heparan sulfate to activate their tyrosine kinase receptors. They have diverse roles in development, regulating proliferation, migration and differentiation. In adult animals, FGFs are important for homeostasis and tissue repair.
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21.
42802 Accesses
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Genomic transcriptional response to loss of chromosomal supercoiling in Escherichia coli
Brian J Peter, Javier Arsuaga, Adam M Breier, Arkady B Khodursky, Patrick O Brown, Nicholas R Cozzarelli Genome Biology 2004, 5:R87 (1 November 2004)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
| F1000 Biology
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Editor’s summary
Microarray analysis shows that transcription of 306 E. Coli genes is affected by changes in the level of chromosome supercoiling, suggesting that supercoiling transmits regulatory signals from the environment to many cellular pathways.
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22.
41281 Accesses
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GOToolBox: functional analysis of gene datasets based on Gene Ontology
David Martin, Christine Brun, Elisabeth Remy, Pierre Mouren, Denis Thieffry, Bernard Jacq Genome Biology 2004, 5:R101 (26 November 2004)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
Tools are presented to identify Gene Ontology terms that are over- or under-represented in a dataset, to cluster genes by function and to find genes with similar annotations.
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23.
39664 Accesses
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Improving RNA-Seq expression estimates by correcting for fragment bias
Adam Roberts, Cole Trapnell, Julie Donaghey, John L Rinn, Lior Pachter Genome Biology 2011, 12:R22 (16 March 2011)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
An extension to Cufflinks corrects bias in RNA-seq datasets
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24.
38570 Accesses
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Microarray analysis of microRNA expression in the developing mammalian brain
Eric A Miska, Ezequiel Alvarez-Saavedra, Matthew Townsend, Akira Yoshii, Nenad Šestan, Pasko Rakic, Martha Constantine-Paton, H Robert Horvitz Genome Biology 2004, 5:R68 (31 August 2004)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
A microarray technology suitable for analyzing the expression of microRNAs and of other small RNAs was used to determine the microRNA expression profile during mouse-brain development and observed a temporal wave of gene expression of sequential classes of microRNAs.
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25.
38421 Accesses
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Protein microarrays for highly parallel detection and quantitation of specific proteins and antibodies in complex solutions
Brian B Haab, Maitreya J Dunham, Patrick O Brown Genome Biology 2001, 2:research0004-research0004.13 (22 January 2001)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
A method is described for printing protein microarrays and using them in a comparative fluorescence assay to measure the abundance of specific proteins in complex solutions. Antigens or antibodies were spotted onto the arrays, and accurate measurements of their cognate ligands were made at concentrations of 1.6 μg/ml or below. Some antibody-antigen pairs allowed detection of the cognate ligands at absolute concentrations below 1 ng/ml and partial concentrations of less than 1 part in 106, sensitivities sufficient for measurement of many clinically important proteins in patient blood samples.
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26.
37907 Accesses
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Consensus clustering and functional interpretation of gene-expression data
Stephen Swift, Allan Tucker, Veronica Vinciotti, Nigel Martin, Christine Orengo, Xiaohui Liu, Paul Kellam Genome Biology 2004, 5:R94 (1 November 2004)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
Consensus clustering, a new method for analyzing microarray data that takes a consensus set of clusters from various algorithms, is shown to perform better than individual methods alone.
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27.
37279 Accesses
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The draft genome and transcriptome of Cannabis sativa
Harm van Bakel, Jake M Stout, Atina G Cote, Carling M Tallon, Andrew G Sharpe, Timothy R Hughes, Jonathan E Page Genome Biology 2011, 12:R102 (20 October 2011)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central |
| F1000 Biology
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Editor’s summary
The genome and transcriptome of marijuana, and comparative analysis with resequenced hemp, explains the genetic basis of psychoactivity
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28.
37054 Accesses
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MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype
Cherie Blenkiron, Leonard D Goldstein, Natalie P Thorne, Inmaculada Spiteri, Suet-Feung Chin, Mark J Dunning, Nuno L Barbosa-Morais, Andrew E Teschendorff, Andrew R Green, Ian O Ellis, Simon Tavaré, Carlos Caldas, Eric A Miska Genome Biology 2007, 8:R214 (8 October 2007)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
Integrated analysis of miRNA expression and genomic changes in human breast tumors allows the classification of tumor subtypes.
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29.
37353 Accesses
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An overview of the structures of protein-DNA complexes
Nicholas M Luscombe, Susan E Austin, Helen M Berman, Janet M Thornton Genome Biology 2000, 1:reviews001-reviews001.37 (9 June 2000)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
On the basis of a structural analysis of 240 protein-DNA complexes contained in the Protein Data Bank (PDB), we have classified the DNA-binding proteins involved into eight different structural/functional groups, which are further classified into 54 structural families. Here we present this classification and review the functions, structures and binding interactions of these protein-DNA complexes.
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30.
36590 Accesses
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qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data
Jan Hellemans, Geert Mortier, Anne De Paepe, Frank Speleman, Jo Vandesompele Genome Biology 2007, 8:R19 (9 February 2007)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central |
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Editor’s summary
qBase, a free program for the management and automated analysis of qPCR data, is described
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31.
36366 Accesses
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Relations in biomedical ontologies
Barry Smith, Werner Ceusters, Bert Klagges, Jacob Köhler, Anand Kumar, Jane Lomax, Chris Mungall, Fabian Neuhaus, Alan L Rector, Cornelius Rosse Genome Biology 2005, 6:R46 (28 April 2005)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
To enhance the treatment of relations in biomedical ontologies we advance a methodology for providing consistent and unambiguous formal definitions of the relational expressions used in such ontologies in a way designed to assist developers and users in avoiding errors in coding and annotation.
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32.
35483 Accesses
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DAVID: Database for Annotation, Visualization, and Integrated Discovery
Glynn Dennis, Brad T Sherman, Douglas A Hosack, Jun Yang, Wei Gao, H Lane, Richard A Lempicki Genome Biology 2003, 4:R60 (14 August 2003)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
DAVID, a web-accessible program that integrates functional genomic annotations with intuitive graphical summaries, has been described and will assist in the interpretation of genome-scale datasets by facilitating the transition from data collection to biological meaning.
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33.
35449 Accesses
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Evolution of mammalian genome organization inferred from comparative gene mapping
William J Murphy, Roscoe Stanyon, Stephen J O'Brien Genome Biology 2001, 2:reviews0005-reviews0005.8 (5 June 2001)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
Comparative genome analyses, including chromosome painting in over 40 diverse mammalian species, ordered gene maps from several representatives of different mammalian and vertebrate orders, and large-scale sequencing of the human and mouse genomes are beginning to provide insight into the rates and patterns of chromosomal evolution on a whole-genome scale, as well as into the forces that have sculpted the genomes of extant mammalian species.
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34.
35346 Accesses
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Conversion of amino-acid sequence in proteins to classical music: search for auditory patterns
Rie Takahashi, Jeffrey H Miller Genome Biology 2007, 8:405 (3 May 2007)
Abstract | Full text | PDF
| PubMed
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Editor’s summary
How to make music from the genome.
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35.
34991 Accesses
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A day in the life of a genome biologist in the not-too-distant future
Gregory A Petsko Genome Biology 2007, 8:104 (29 March 2007)
Abstract | Full text | PDF
| PubMed
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Editor’s summary
A look into the future of a biologist: daily activities governed by presidential mandates and acts.
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36.
34821 Accesses
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DAVID: Database for Annotation, Visualization, and Integrated Discovery
Glynn Dennis, Brad T Sherman, Douglas A Hosack, Jun Yang, Wei Gao, H Clifford Lane, Richard A Lempicki Genome Biology 2003, 4:P3 (3 April 2003)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
Functional annotation of differentially expressed genes is a necessary and critical step in the analysis of microarray data. Database for Annotation, Visualization, and Integrated Discovery (DAVID) provides querybased access to an integrated database that disseminates biologically rich information across large datasets and displays graphic summaries of functional information.
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37.
34820 Accesses
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Searching for SNPs with cloud computing
Ben Langmead, Michael C Schatz, Jimmy Lin, Mihai Pop, Steven L Salzberg Genome Biology 2009, 10:R134 (20 November 2009)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
Novel software utilizing cloud computing technology to cost-effectively align and map SNPs from a human genome in three.
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38.
34787 Accesses
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The Rab GTPase family
Harald Stenmark, Vesa M Olkkonen Genome Biology 2001, 2:reviews3007-reviews3007.7 (27 April 2001)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
The Rab family of small GTPases are central regulators of vesicle budding, motility and fusion. The GTP-bound forms of the proteins interact with a range of specific effector proteins, which play central roles in different stages of vesicular transport events.
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39.
34446 Accesses
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Design and implementation of microarray gene expression markup language (MAGE-ML)
Paul T Spellman, Michael Miller, Jason Stewart, Charles Troup, Ugis Sarkans, Steve Chervitz, Derek Bernhart, Gavin Sherlock, Catherine Ball, Marc Lepage, Marcin Swiatek, WL Marks, Jason Goncalves, Scott Markel, Daniel Iordan, Mohammadreza Shojatalab, Angel Pizarro, Joe White, Robert Hubley, Eric Deutsch, Martin Senger, Bruce J Aronow, Alan Robinson, Doug Bassett, Christian J Stoeckert, Alvis Brazma Genome Biology 2002, 3:research0046-research0046.9 (23 August 2002)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
Meaningful exchange of microarray data is currently difficult because it is rare that published data provide sufficient information depth or are even in the same format from one publication to another. MAGE will help microarray data producers and users to exchange information by providing a common platform for data exchange, and MAGE-STK will make the adoption of MAGE easier.
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40.
34236 Accesses
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MAPPFinder: using Gene Ontology and GenMAPP to create a global gene-expression profile from microarray data
Scott W Doniger, Nathan Salomonis, Kam D Dahlquist, Karen Vranizan, Steven C Lawlor, Bruce R Conklin Genome Biology 2003, 4:R7 (6 January 2003)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
MAPPFinder is a tool that creates a global gene-expression profile across all areas of biology by integrating the annotations of the Gene Ontology (GO) Project with the free software package GenMAPP.
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41.
34193 Accesses
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Cytochromes P450: a success story
Danièle Werck-Reichhart, René Feyereisen Genome Biology 2000, 1:reviews3003-reviews3003.9 (8 December 2000)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
Cytochrome P450 proteins are enzymes that function in diverse pathways, from carbon source assimilation to hormone biosynthesis. In all P450s, heme is bound in a structurally conserved protein core, allowing them to catalyze regioselective and stereoselective oxidation of hydrocarbons.
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42.
33847 Accesses
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Apollo: a sequence annotation editor
SE Lewis, SMJ Searle, N Harris, M Gibson, V Iyer, J Richter, C Wiel, L Bayraktaroglu, E Birney, MA Crosby, JS Kaminker, BB Matthews, SE Prochnik, CD Smith, JL Tupy, GM Rubin, S Misra, CJ Mungall, ME Clamp Genome Biology 2002, 3:research0082-0082.14 (23 December 2002)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
| F1000 Biology
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Editor’s summary
Apollo was developed to enable curators to inspect genome annotations closely and edit them. FlyBase biologists successfully used Apollo to annotate the Drosophila melanogaster genome.
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43.
33731 Accesses
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The case for cloud computing in genome informatics
Lincoln D Stein Genome Biology 2010, 11:207 (5 May 2010)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central |
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Editor’s summary
With DNA sequencing now getting cheaper more quickly than data storage, the time may have come to use cloud computing for genome informatics.
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44.
33045 Accesses
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Social regulation of gene expression in human leukocytes
Steve W Cole, Louise C Hawkley, Jesusa M Arevalo, Caroline Y Sung, Robert M Rose, John T Cacioppo Genome Biology 2007, 8:R189 (13 September 2007)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
Analysis of differentially expressed in circulating leukocytes from people who chronically experienced high versus low levels of subjective social isolation (loneliness) revealed over-expression of some anti-inflammatory genes and under-expression of some pro-inflammatory genes.
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45.
32759 Accesses
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GoMiner: a resource for biological interpretation of genomic and proteomic data
Barry R Zeeberg, Weimin Feng, Geoffrey Wang, May D Wang, Anthony T Fojo, Margot Sunshine, Sudarshan Narasimhan, David W Kane, William C Reinhold, Samir Lababidi, Kimberly J Bussey, Joseph Riss, J Barrett, John N Weinstein Genome Biology 2003, 4:R28 (25 March 2003)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
GoMiner, a program package that organizes lists of 'interesting' genes for biological
interpretation in the context of the Gene Ontology, has been developed.
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46.
32416 Accesses
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A DNA microarray survey of gene expression in normal human tissues
Radha Shyamsundar, Young H Kim, John P Higgins, Kelli Montgomery, Michelle Jorden, Anand Sethuraman, Matt van de Rijn, David Botstein, Patrick O Brown, Jonathan R Pollack Genome Biology 2005, 6:R22 (14 February 2005)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
A systematic survey of gene expression in 115 human tissue samples using cDNA microarrays provides a dataset that can be used as a baseline for comparison with expression in diseased tissue.
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47.
32247 Accesses
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Expression profiling of mammalian microRNAs uncovers a subset of brain-expressed microRNAs with possible roles in murine and human neuronal differentiation
Lorenzo F Sempere, Sarah Freemantle, Ian Pitha-Rowe, Eric Moss, Ethan Dmitrovsky, Victor Ambros Genome Biology 2004, 5:R13 (16 February 2004)
Abstract | Full text | PDF
| Cited on BioMed Central
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Editor’s summary
Northern blot analysis of 119 previously reported microRNAs in adult organs from mouse and human identified a subset of brain-expressed miRNAs whose expression behavior is conserved in both mouse and human differentiating neurons, implicating these microRNAs in mammalian neuronal development or function
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48.
31967 Accesses
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Exploring prokaryotic diversity in the genomic era
Philip Hugenholtz Genome Biology 2002, 3:reviews0003-reviews0003.8 (29 January 2002)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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49.
32026 Accesses
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An overview of the potassium channel family
Christopher Miller Genome Biology 2000, 1:reviews0004-reviews0004.5 (13 October 2000)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
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Editor’s summary
Potassium channels, tetrameric integral membrane proteins that form aqueous pores through which K+ can flow, are found in virtually all organisms; the genomes of humans, Drosophila, and Caenorhabditis elegans contain 30-100 K+ channel genes each. The structure of a bacterial K+ channel, sequence comparisons with other channels and electrophysiological measurements have enabled conclusions about the mechanism of gating and ion flow to be drawn for many other channels.
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50.
31373 Accesses
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Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries
Daniel Aird, Michael G Ross, Wei-Sheng Chen, Maxwell Danielsson, Timothy Fennell, Carsten Russ, David B Jaffe, Chad Nusbaum, Andreas Gnirke Genome Biology 2011, 12:R18 (21 February 2011)
Abstract | Full text | PDF
| PubMed | Cited on BioMed Central
| F1000 Biology
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Editor’s summary
The optimization of PCR amplification steps in Illumina libraries significantly reduces sequencing bias
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