Alicia Oshlack

Summary

Affiliation: The Walter and Eliza Hall Institute of Medical Research
Country: Australia

Publications

  1. ncbi From RNA-seq reads to differential expression results
    Alicia Oshlack
    Bioinformatics Division, Walter and Eliza Hall Institute, 1G Royal Parade, Parkville 3052, Australia
    Genome Biol 11:220. 2010
  2. ncbi Gene ontology analysis for RNA-seq: accounting for selection bias
    Matthew D Young
    Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville 3052, Australia
    Genome Biol 11:R14. 2010
  3. ncbi Statistical analysis of an RNA titration series evaluates microarray precision and sensitivity on a whole-array basis
    Andrew J Holloway
    Ian Potter Foundation Centre for Cancer Genomics and Predictive Medicine, Peter MacCallum Cancer Centre, St Andrew s Place, East Melbourne, Victoria 3002, Australia
    BMC Bioinformatics 7:511. 2006
  4. ncbi Normalization of boutique two-color microarrays with a high proportion of differentially expressed probes
    Alicia Oshlack
    Walter and Eliza Hall Institute of Medical Research, Royal Parade, Parkville, Victoria, Australia
    Genome Biol 8:R2. 2007
  5. ncbi Using DNA microarrays to study gene expression in closely related species
    Alicia Oshlack
    Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3050, Australia
    Bioinformatics 23:1235-42. 2007
  6. ncbi Transcript length bias in RNA-seq data confounds systems biology
    Alicia Oshlack
    Walter and Eliza Hall Institute of Medical Research, Parkville, Vic, Australia
    Biol Direct 4:14. 2009
  7. ncbi A scaling normalization method for differential expression analysis of RNA-seq data
    Mark D Robinson
    Bioinformatics Division, Walter and Eliza Hall Institute, 1G Royal Parade, Parkville, Australia
    Genome Biol 11:R25. 2010
  8. ncbi Optimizing the noise versus bias trade-off for Illumina whole genome expression BeadChips
    Wei Shi
    The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, VIC 3052, Australia
    Nucleic Acids Res 38:e204. 2010
  9. ncbi ChIP-seq analysis reveals distinct H3K27me3 profiles that correlate with transcriptional activity
    Matthew D Young
    Walter and Eliza Hall Institute, 1G Royal Parade, Parkville 3052, Australia
    Nucleic Acids Res 39:7415-27. 2011
  10. ncbi Segmental duplications contribute to gene expression differences between humans and chimpanzees
    Ran Blekhman
    Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
    Genetics 182:627-30. 2009

Collaborators

Detail Information

Publications14

  1. ncbi From RNA-seq reads to differential expression results
    Alicia Oshlack
    Bioinformatics Division, Walter and Eliza Hall Institute, 1G Royal Parade, Parkville 3052, Australia
    Genome Biol 11:220. 2010
    ..Many methods and tools are available for preprocessing high-throughput RNA sequencing data and detecting differential expression...
  2. ncbi Gene ontology analysis for RNA-seq: accounting for selection bias
    Matthew D Young
    Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville 3052, Australia
    Genome Biol 11:R14. 2010
    ..Application of GOseq to a prostate cancer data set shows that GOseq dramatically changes the results, highlighting categories more consistent with the known biology...
  3. ncbi Statistical analysis of an RNA titration series evaluates microarray precision and sensitivity on a whole-array basis
    Andrew J Holloway
    Ian Potter Foundation Centre for Cancer Genomics and Predictive Medicine, Peter MacCallum Cancer Centre, St Andrew s Place, East Melbourne, Victoria 3002, Australia
    BMC Bioinformatics 7:511. 2006
    ....
  4. ncbi Normalization of boutique two-color microarrays with a high proportion of differentially expressed probes
    Alicia Oshlack
    Walter and Eliza Hall Institute of Medical Research, Royal Parade, Parkville, Victoria, Australia
    Genome Biol 8:R2. 2007
    ..Specifically, this can occur when specialized boutique arrays are constructed that contain a subset of genes selected to test particular biological functions...
  5. ncbi Using DNA microarrays to study gene expression in closely related species
    Alicia Oshlack
    Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3050, Australia
    Bioinformatics 23:1235-42. 2007
    ..Here, we use data collected using a multi-primate cDNA array to evaluate the reliability of each approach...
  6. ncbi Transcript length bias in RNA-seq data confounds systems biology
    Alicia Oshlack
    Walter and Eliza Hall Institute of Medical Research, Parkville, Vic, Australia
    Biol Direct 4:14. 2009
    ..As yet, a rigorous analysis methodology has not been developed and we are still in the stages of exploring the features of the data...
  7. ncbi A scaling normalization method for differential expression analysis of RNA-seq data
    Mark D Robinson
    Bioinformatics Division, Walter and Eliza Hall Institute, 1G Royal Parade, Parkville, Australia
    Genome Biol 11:R25. 2010
    ..We outline a simple and effective method for performing normalization and show dramatically improved results for inferring differential expression in simulated and publicly available data sets...
  8. ncbi Optimizing the noise versus bias trade-off for Illumina whole genome expression BeadChips
    Wei Shi
    The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, VIC 3052, Australia
    Nucleic Acids Res 38:e204. 2010
    ..The use of control probes as part of the background correction and normalization strategy is shown to achieve the lowest FDR for a given bias...
  9. ncbi ChIP-seq analysis reveals distinct H3K27me3 profiles that correlate with transcriptional activity
    Matthew D Young
    Walter and Eliza Hall Institute, 1G Royal Parade, Parkville 3052, Australia
    Nucleic Acids Res 39:7415-27. 2011
    ..The data analysis techniques developed here will be useful for the identification of common enrichment profiles for other histone modifications that have important consequences for transcriptional regulation...
  10. ncbi Segmental duplications contribute to gene expression differences between humans and chimpanzees
    Ran Blekhman
    Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
    Genetics 182:627-30. 2009
    ..Accordingly, we show that species-specific segmental duplications are enriched with genes that are differentially expressed between humans and chimpanzees...
  11. ncbi Natural selection on gene expression
    Yoav Gilad
    Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA
    Trends Genet 22:456-61. 2006
    ..An important implication is that mutations affecting gene expression will often be deleterious and might underlie many human diseases...
  12. ncbi Expression profiling in primates reveals a rapid evolution of human transcription factors
    Yoav Gilad
    Department of Genetics, Yale University, New Haven, Connecticut 06510, USA
    Nature 440:242-5. 2006
    ..Among the gene set with a human-specific increase in expression, there is an excess of transcription factors; the same is not true for genes with increased expression in chimpanzee...
  13. ncbi Array-based gene discovery with three unrelated subjects shows SCARB2/LIMP-2 deficiency causes myoclonus epilepsy and glomerulosclerosis
    Samuel F Berkovic
    Department of Medicine, Austin Health and Northern Health, Heidelberg, Victoria 3081, Australia
    Am J Hum Genet 82:673-84. 2008
    ..The heterogeneous pathology in the kidney and brain suggests that SCARB2/Limp2 has pleiotropic effects that may be relevant to understanding the pathogenesis of other forms of glomerulosclerosis or collapse and myoclonic epilepsies...
  14. ncbi A comparison of background correction methods for two-colour microarrays
    Matthew E Ritchie
    Department of Oncology, University of Cambridge, CRUK Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
    Bioinformatics 23:2700-7. 2007
    ..Different estimators of background, and various model-based processing methods, are compared in this study in search of the best option for differential expression analyses of small microarray experiments...