Google Genomics

https://cloud.google.com/genomics/v1beta2/visualization

Google Genomics provides an API to store, process, explore, and share DNA sequence reads, reference-based alignments, and variant calls, using Google's cloud infrastructure.

    Store alignments and variant calls for one genome or a million.
    Process genomic data in batch by running principal component analysis or Hardy-Weinberg equilibrium, in minutes or hours, by using parallel computing frameworks like MapReduce.
    Explore data by slicing alignments and variants by genomic range across one or multiple samples -- for your own algorithms or for visualization; or interactively process entire cohorts to find transition/transversion ratios, allelic frequency, genome-wide association and more using BigQuery.
    Share genomic data with your research group, collaborators, the broader community, or the public. You decide.

Google Genomics is implementing the API defined by the Global Alliance for Genomics and Health for visualization, analysis and more. Compliant software can access Google Genomics, local servers, or any other implementation.

Cluster computing
https://spark.apache.org/downloads.html

Google BigQuery
https://cloud.google.com/bigquery/what-is-bigquery

Experts question Google’s new ‘moonshot’ project: mapping human genome biomarkers

Canadian experts have concerns about a report that Google Inc. is planning to create a map of the biomarkers in the “healthy” human genome.

Researchers have told The Globe and Mail they would welcome the search giant to this area of study, which they say is underfunded, but they questioned how useful Google’s project would be based on the relatively small number of people it would involve (just 175 initially).

Google refine

Google Refine is a power tool for working with messy data, cleaning it up, transforming it from one format into another, extending it with web services, and linking it to databases like Freebase.

http://code.google.com/p/google-refine/

has clustering, groupings, merging, undos, expressions on numeric facet

refine messy data

desktop application even though using a browser

Google updates search engine for fresher results

Google has overhauled the way it serves up results in response to search queries.

The update is designed to work out whether a person wants up-to-date results or historical data.

The US firm estimated the alterations to its core algorithm would make a difference to about 35% of searches.

http://www.bbc.co.uk/news/technology-15590285

Google Docs has Drawing and Forms

docs.google.com

Google Refine

http://code.google.com/p/google-refine/

Google Refine is a power tool for working with messy data, cleaning it up, transforming it from one format into another, extending it with web services, and linking it to databases like Freebase.

The Unreasonable Effectiveness of Google

http://duncan.hull.name/2009/04/17/the-unreasonable-effectiveness-of-google/
http://googleresearch.blogspot.com/2009/03/unreasonable-effectiveness-of-data.html

http://www.biomodels.net/
http://www.sbml.org/

The paper concludes:

“So, follow the data. Choose a representation that can use unsupervised learning on unlabeled data, which is so much more plentiful than labeled data. Represent all the data with a nonparametric model rather than trying to summarize it with a parametric model, because with very large data sources, the data holds a lot of detail. For natural language applications, trust that human language has already evolved words for the important concepts. See how far you can go by tying together the words that are already there, rather than by inventing new concepts with clusters of words. Now go out and gather some data, and see what it can do.”

Google Insights for Search, Google Trends

Google Insights (friend of Google Trends) for Search
Is useful in viewing trends of search keywords, trends such as frequency, location, and time.
The horizontal axis of the main graph represents time (starting from some time in 2004), and the vertical is how often a term is searched for relative to the total number of searches, globally.
http://en.wikipedia.org/wiki/Google_Insights_for_Search
http://en.wikipedia.org/wiki/Google_Trends
http://www.google.com/support/insights//bin/answer.py?hl=en-US&answer=96693
http://www.google.com/intl/en/trends/about.html

Python Google Trends Information Retrieval Quasi-API
pyGTrends 0.8
http://pypi.python.org/pypi/pyGTrends/0.8
http://zoastertech.com/projects/googletrends/?page=Third+party+API+Tools
http://www.juiceanalytics.com/openjuice/programmatic-google-trends-api/
http://bradjasper.com/blog/use-python-to-access-google-insights-api.html

Google Search API for python
A useful Python API to parse Google search results
http://blackcodeseo.com/google-search-api-for-python/
BeautifulSoup, Mechanize

Papers
http://www.ncbi.nlm.nih.gov/pubmed/20679285
J Public Health (Oxf). 2010 Aug 5. [Epub ahead of print]
Media coverage and public reaction to a celebrity cancer diagnosis.
Metcalfe D, Price C, Powell J.
Institute of Clinical Education, Warwick Medical School, Coventry CV4 7AL, UK.

http://www.nature.com/nature/journal/v457/n7232/full/nature07634.html
Nature 457, 1012-1014 (19 February 2009) | doi:10.1038/nature07634; Received 14 August 2008; Accepted 13 November 2008; Published online 19 November 2008; Corrected 19 February 2009
Detecting influenza epidemics using search engine query data
Jeremy Ginsberg1, Matthew H. Mohebbi1, Rajan S. Patel1, Lynnette Brammer2, Mark S. Smolinski1 & Larry Brilliant1

Books
- Plant Growth and Development: A Molecular Approach.
(1994). Donald Fosket, Aademic Press.
- Plant Physiology by Taiz, L. and Zeiger, E., latest edition, Sinauer Associates Inc.

http://www.sfu.ca/biology/courses/outlines/1067/366.htm

http://www.google.ca/url?sa=t&rct=j&q=stages+of+seed+development+histodifferentiation&source=web&cd=1&ved=0CCQQFjAA&url=http%3A%2F%2Fwww.psla.umd.edu%2Ffaculty%2FColeman%2Fseed%2520structure%2520and%2520development.pdf&ei=KDEoT57cIsqoiQK6ieGQAQ&usg=AFQjCNHR6RVowlDYbqsqp5cA0TYPBjMfBw&sig2=F8-lOKj_g2sTz5QDZP0-CA

Google Org and Philanthropy

http://www.google.com/corporate/diversity/rise/index.html

http://www.google.org/googlers.html

http://code.google.com/edu/tools101/linux/grep.html

http://www.google.org/flutrends/

Google going global with Apps

http://www.reuters.com/article/technologyNews/idUSTRE59I09A20091019?feedType=RSS&feedName=technologyNews

Cloud computing.

Google and bioinformatics

Semantic web sounds like a nice way of retrieving biological data by asking questions ... http://www.io-informatics.com/ Putting semantic web ideas to work
http://mndoci.com/blog/2007/07/13/what-is-a-google-for-bioinformatics/

Google Does Bioinformatics Venture Deal
This should be controversial: Google announced in a filing at the close today that it has invested $3.9-million into a bioinformatics startup called 23andMe. The company's co-founder is Ann Wojcicki, Google co-founder Sergey Brin's new spouse. According to the filing, Ann's company helps consumers understand and browse their genome.
https://www.23andme.com/

Google jobs
http://www.google.com/support/jobs/bin/static.py?page=students.html&sid=resume
https://tbe.taleo.net/NA2/ats/careers/searchResults.jsp?org=TWENTYTHREEANDME&cws=1

Too lazy to start a new post, so I'm adding a great Cytoscape plugin called MiMI (Michigan Molecular Interactions) http://www.eecs.umich.edu/db/mimi/ In a nutshell, MiMI integrates major protein-protein interactions (ppi) databases like MIPS, MINT, BioGRID, HPRD and DIP into one so users like me don't have to scavange around each database to find data :D ...
Jayapandian M, Chapman A, Tarcea VG, Yu C, Elkiss A, Ianni A, Liu B, Nandi A,
Santos C, Andrews P, Athey B, States D, Jagadish HV.
Michigan Molecular Interactions (MiMI): putting the jigsaw puzzle together.
Nucleic Acids Res. 2006 Nov 27; [Epub ahead of print]