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<title>ToolsForYou: Lane's Biotool Feed</title>
<link>http://lane.stanford.edu/howto/index.html?id=_2419</link>
<description>A review of biotools you should know about, as recommended by the Lane Library's Bioinformationist, Dr. Yannick Pouliot</description>
<language>en-us</language>
<copyright>Produced by Lane Bioresearch Informationist, copyright 2007 The Board of Trustees of The Leland Stanford Junior University</copyright>


<item>
  <title>AGEMAP: How does the expression of a gene vary over the mouse lifetime?</title>
  <link>http://lane.stanford.edu/howto/index.html?id=_3457</link>
	<pubDate>Fri, 2 May 2008 10:52:00 -0700</pubDate> 
  <description>AGEMAP is a database of microarray-based gene expression measurements that tracks changes in expression levels during the lifetime of the C57BL/6 mouse.</description>
</item>
<item>
  <title>NextBio: A unique search engine for finding and characterizing biological information as opposed to data </title>
  <link>http://lane.stanford.edu/howto/index.html?id=_3391</link>
	<pubDate>Fri, 18 Apr 2008 15:50:00 -0700</pubDate> 
  <description>NextBio provides a truly novel, unified interface for researchers to easily formulate and test new hypotheses across vast collections of experimental data.</description>
</item>
<item>
  <title>LAGAN: Tools for accurate, quick genomic sequence alignment</title>
  <link>http://lane.stanford.edu/howto/index.html?id=_3231</link>
	<pubDate>Fri, 08 Feb 2008 13:50:00 -0700</pubDate> 
  <description>Aligning genomic DNA sequences for comparative genomics purposes requires accuracy and can be very time consuming. The LAGAN tools are well-suited for this purpose.</description>
</item>
<item>
  <title>SciFinder web version: The easiest way to search the chemical, life sciences and patent universes</title>
  <link>http://lane.stanford.edu/howto/index.html?id=_3142</link>
	<pubDate>Tue, 22 Jan 2008 10:40:00 -0700</pubDate> 
  <description>With this version of SciFinder, you no longer need to install the SciFinder desktop client to access CAS' vast databases!</description>
</item>
<item>
  <title>The Online Bioinformatics Resources Collection (OBRC): A great way to find the biotool you need</title>
  <link>http://lane.stanford.edu/howto/index.html?id=_3050</link>
	<pubDate>Fri, 30 Nov 2007 15:13:00 -0700</pubDate> 
  <description>OBRC is a comprehensive database of bioinformatics tools that also provides curated descriptions of each tool, for those times when you have no idea what tools might be applicable to your research problem.</description>
</item>
<item>
  <title>NCBI Digital Differential Display (DDD): A nice, easy way of looking a transcriptional profiles</title>
  <link>http://lane.stanford.edu/howto/index.html?id=_2974</link>
	<pubDate>Mon, 31 Oct 2007 14:13:00 -0700</pubDate> 
  <description>DDD is an easy-to-use transcriptomic analysis system whose elegant interface emulates the dot blot technique. A nice way to compare your microarray results against those of sequencing-based transcript profiling.</description>
</item>
<item>
  <title>ENCOREdb: Portal to the Encyclopedia of DNA Elements (ENCODE) project</title>
  <link>http://lane.stanford.edu/howto/index.html?id=_2833</link>
	<pubDate>Mon, 24 Sep 2007 15:20:00 -0700</pubDate> 
  <description>Looking for a highly reliable survey of the genomic properties of a meaningful sample of the human genome? ENCODEdb is your source.</description>
</item>
<item>
  <title>LOCATE, a database of protein subcellular localizations and structural properties</title>
  <link>http://lane.stanford.edu/howto/index.html?id=_2807</link>
	<pubDate>Mon, 17 Sep 2007 09:01:00 -0700</pubDate> 
  <description>Want to quickly determine the membrane properties of your protein, and perhaps its subcellular localization? Try the LOCATE database for quality computational predictions. Mouse proteins only, but still useful if you've got a homologous protein.</description>
</item>
<item>
  <title>NCBI Probe: Understanding in situ gene expression</title>
  <link>http://lane.stanford.edu/howto/index.html?id=_1392</link>
	<pubDate>Fri, 24 Aug 2007 19:30:00 -0700</pubDate> 
  <description>Trying to correlate gene expression data with anatomy or developmental stage? Make sure you start with NCBI's Probe database. This highly queryable repository of reagents for functional genomics is an amazing way to quickly identify many different kinds of probes, the tissues in which they hybridize and images of their hybridization profiles.</description>
</item>
<item>
  <title>TRANSFAC: Your first step in understanding transcription factors</title>
  <link>http://lane.stanford.edu/howto/index.html?id=_2697</link>
	<pubDate>Mon, 30 Jul 2007 17:00:00 -0700</pubDate>
  <description>Working with transcription factors? Make sure you start with BIOBASE's TRANSFAC, preferably the Professional version. This database is your best source of transcription factor data carefully curated from the literature.</description>
</item>
<item>
  <title>DAVID: A poor-man's version of Ingenuity Pathways Analysis?</title>
  <link>http://lane.stanford.edu/howto/index.html?id=_2653</link>
	<pubDate>Thu, 12 Jul 2007 14:00:00 -0700</pubDate>
  <description>Can't afford Ingenuity Pathways Analysis (IPA)? Want to run your own IPA-like analyses on your local computer? Have a look at the Database for Annotation, Visualization and Integrated Discovery (DAVID), a powerful publicly accessible microarray analysis system.</description>
</item>
<item>
  <title>Learn from other Ingenuity users - Join the Stanford IPA SIG at Google Groups</title>
  <link>http://lane.stanford.edu/howto/index.html?id=_2548</link>
	<pubDate>Mon, 11 Jun 2007 10:35:00 -0700</pubDate>
  <description>Do you use Ingenuity Pathways Analysis? If so, here's an opportunity to learn from other users at Stanford. Who are they? How are they using IPA? What problems have they encountered and how were they resolved?</description>
</item>
<item>
  <title>Understanding how sequences have diverged from each other to identify unique functional properties</title>
  <link>http://lane.stanford.edu/howto/index.html?id=_2459</link>
	<pubDate>Fri, 01 Jun 2007 20:35:00 -0700</pubDate>
  <description><i>CDTree</i> is an excellent tool for understanding the diversity of sequences that make up a conserved protein domain, identifying which residues may confer unique properties, and understanding how these sequences have diverged from each other, both in the same species (paralogs) and across species (orthologs).</description>
</item>
<item>
  <title>Determining the number of microarrays needed to achieve a given level of accuracy</title>
  <link>http://lane.stanford.edu/howto/index.html?id=_1906</link>
	<pubDate>Mon, 08 May 2007 17:00:00 -0700</pubDate>
  <description><i>SAM</i> is an Excel add-in for estimating the number of microarray chips required to reach a pre-defined level of significance of difference between 
   the mean of scores from two different conditions, given a set of genes for which preliminary expression data is available	.</description>
</item>
<item>
  <title>Analyzing paralogous and orthologous protein domains</title>
  <link>http://lane.stanford.edu/howto/index.html?id=_2459</link>
	<pubDate>Mon, 07 May 2007 18:00:00 -0700</pubDate>
  <description><i>CDTree</i> is a powerful integrated suite of software tools for analyzing and visualizing sequences from protein domains in NCBI's Conserved Domains Database (CDD) in the context of domain family hierarchies. You can even align your own sequences against these domains and see how they differ.</description>
</item>
<item>
  <title>Identifying transcripts using whole genome tiling array hybridization signals</title>
  <link>http://lane.stanford.edu/howto/index.html?id=_2444</link>
	<pubDate>Tue, 1 May 2007 15:00:00 -0700</pubDate>
  <description><i>TranscriptionDetector</i> is a program for detecting transcripts based on signals from whole-genome tiling microarrays probes, and doing so in statistically robust manner.</description>
</item>
<item>
  <title>Understanding the extent to which genetic variability influences gene expression</title>
  <link>http://lane.stanford.edu/howto/index.html?id=_2433</link>
	<pubDate>Mon, 30 Apr 2007 14:00:00 -0700</pubDate>
  <description>GENEVAR is a unique dataset of genome-wide microarray-based gene expression measurements obtained from the samples that were used to construct the Haplotype Map, thus enabling an understanding of gene expression in a genetically-characterized background. </description>
</item>
<item>
  <title>Searching LaneConnex using my browser search</title>
  <link>http://lane.stanford.edu/howto/index.html?id=_2336</link>
	<pubDate>Fri, 27 Apr 2007 14:00:00 -0700</pubDate>
  <description>LaneConnex now makes it possible to launch searches of the Lane Library's resources right from your browser's search box. if you're using FireFox 2.0 or Internet Explorer 7.0 or above, search plugins (extensions) are available for these browsers. See full article for easy installation steps.</description>
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