This site is to serve as my note-book and to effectively communicate with my students and collaborators. Every now and then, a blog may be of interest to other researchers or teachers. Views in this blog are my own. All rights of research results and findings on this blog are reserved. See also http://youtube.com/c/hongqin @hongqin
Showing posts with label genome. Show all posts
Showing posts with label genome. Show all posts
Tuesday, November 29, 2016
genome compression
https://en.wikipedia.org/wiki/Compression_of_Genomic_Re-Sequencing_Data
Number theory, data compression for NGS data
Can RSA or other methods be used for NGS sequence compression?
Friday, May 27, 2016
Editing Genomes to Record Cellular Histories
Whole organism lineage tracing by combinatorial and cumulative genome editing
http://science.sciencemag.org/content/early/2016/05/25/science.aaf7907http://www.the-scientist.com/?articles.view/articleNo/46173/title/Editing-Genomes-to-Record-Cellular-Histories/&utm_campaign=NEWSLETTER_TS_The-Scientist-Daily_2016&utm_source=hs_email&utm_medium=email&utm_content=30023521&_hsenc=p2ANqtz-_R1n6GFzmrTt34_hkUqUVfwahxXsR3FIUKRDnqbJEghIVaQfXQ6FAd2sYy_HyvmbyFGoI2o9ihE5P2eTgED-mCTiOXyA&_hsmi=30023521
Tuesday, May 10, 2016
Yeast Resource Center at U W Seattle
Provided genomes, mass spec, RNA seq data. Description of the experimental conditions are not clear.
http://www.yeastrc.org/g2p/about.do
Funded by P41 GM103533
http://www.yeastrc.org/g2p/about.do
Funded by P41 GM103533
Monday, February 29, 2016
Saturday, August 22, 2015
Strope 2015 Genome Research, 100 S. cerevisiae genomes, McCusker lab
http://genome.cshlp.org.proxy.library.emory.edu/content/25/5/762/suppl/DC1
Strope PK, McCusker group at Duke
Genome Res. 2015 May;25(5):762-74. doi: 10.1101/gr.185538.114. Epub 2015 Apr 3.
Strope15GR used its own strain nominations, even though the strains are obtained from others. This is quite annoying.
I recognize M22, M1-2, YPS163
Strains are explained in Table S1, accession numbers are explained in table_S19.
Saturday, March 1, 2014
IGV, integrated genome viewer
http://www.broadinstitute.org/software/igv/?q=download
Saturday, November 9, 2013
Genolevures, notes
Genolevures and the Saccharomycodtina
Gene orders are apparently randomly shuffled in yeast genomes.
Gene orders are apparently randomly shuffled in yeast genomes.
Tuesday, June 4, 2013
*** Yeast genomic data resources for network and robustness (in progress)
Seattle Yeast Resource Center
Provided genomes, mass spec, RNA seq data. Description of the experimental conditions are not clear.
http://www.yeastrc.org/g2p/about.do
GenAge
Expression data from S. cerevisiae under serial stresses, including H2O2 time course
http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE15936
Yeast
fitness Giaever lab, 2002 Nature
http://www.nature.com/nature/journal/v418/n6896/extref/nature00935-s1.htm
http://genomics.lbl.gov/YeastFitnessData/websitefiles/cel_index.html
(The site provide .cel files, but I did not locate the fitness files?! How did He14Ibuprofen obtain their fitness values?).
yeast resources pages
http://yeast.uni-graz.at/index.php?item=research
http://www.yeastgenome.org/download-data/sequence
Yeast essential and non-essential genes
/data_download/literature_curation/phenotypes.tab #contain this information in an irregular way.
Winzeler99Science and yeast deletion database also provide these information (cited by Hwang, Lin, Chang, Mori, Juan, Huang, 2009 Molecular Biosystems, Predicting essential genes based on network and sequence analysis)
Yeast RLS and CLS data
Kaeberlein and Kennedy labs.
bipixe
http://downloads.yeastgenome.org/published_datasets/Myers_2004_PMID_16420673/README
http://www.yeastgenome.org/download-data/published-datasets
Yeast CV GFP from Alon's paper
http://www.ncbi.nlm.nih.gov/pubmed/?term=zakrzewska+robustness
http://www.yeastgenome.org/cache/genome-wide-analysis.html
CV of GEO expression data
Genetic network (Costanzo2009).
PPI
LOH screen by Gottschling lab
Phenotypic capacitance, The phenotypic capacitance was used directly from the Levy & Siegal study (S28) and captures variability across a range of morphological phenotypes upon deletion of each of
the non-essential genes
Yeast morphology Database
Princeton genomics
http://genomics-pubs.princeton.edu/
BYxRM
http://genomics-pubs.princeton.edu/YeastCross_BYxRM/data/BYxRM_PhenoData.txt
Predicted prions
http://www.utsouthwestern.edu/labs/halfmann/publications/
ChEMBL, chemical database
https://www.ebi.ac.uk/chembl/
- Hellenmyer 2008 science chemical screen
- Rugly 2006 JB, literacture curated PIN dataset (I did not find it in Biogrid publication download)
- Lipson 2009 NBT, single molecular sequencing on trancriptome, supplment table 2 provide stddev and mean that can be used for CV=stddev/mean.
- CV of microarray based gene expression
- Gasch 2000
- Genetic network, Costanzo 2010
- PPI
- Power06 CLS life span
- LevySegel08 phenotypic potential
- Yeast GFP CV data, Newman et al
- Supplementary information From the following article Quantification of the yeast transcriptome by single-molecule sequencing Doron Lipson, Tal Raz, Alix Kieu, Daniel R Jones, Eldar Giladi, Edward Thayer, John F Thompson, Stan Letovsky, Patrice Milos & M
Yeast human gene homologs
http://yeastmine.yeastgenome.org/yeastmine/bagDetails.do?scope=all&bagName=Human+genes+with+yeast+homologs
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