Fix heading text for plankton monitoring section

Author: karingare

projects.html

@@ -69,7 +69,7 @@ <h3>Metagenomics-driven enzyme discovery</h3>
                     <h3>Primer Design</h3>
                     <p>By sequencing of PCR amplified taxonomic marker genes we can accurately profile the microbial diversity within many samples in parallel. However, to minimize biases it is important to use primers that bind as non-selectively as possible. We have developed the program DegePrime (<a href="http://www.ncbi.nlm.nih.gov/pubmed/24928874">Hugerth et al - 1</a>) that given a sequence alignmentfro each position finds the primer with a maximum degeneracy given by the user that matches as many sequences as possible. We used this to develop the primer pair 341F-805R that was show by another group to be the best primer pair for bacterial diversity studies out of 512 pairs tested. We also used DegePrime to greatly improve the coverage of a popular primer pair for assessing bacterial and archaeal diversity (515F-805R) and for developing a new primer pair for 18S rRNA gene surveys (574F-1123R) (<a href="http://www.ncbi.nlm.nih.gov/pubmed/24755918">Hugerth et al - 2</a>).</p>
 
-					<h3>Artificial intelligence-assisted plankton Monitoring with Imaging flow cytometry and MEtabarcoding</h3>
+					<h3>Artificial intelligence-assisted plankton Monitoring with Imaging flow cytometry</h3>
                 <p>Single-celled eukaryotic plankton (protists) form the productive base of marine ecosystems and are key drivers of global biogeochemical cycles of carbon and nutrients. Consequently, plankton have fundamental impacts on both fish stocks and the climate and understanding the factors that control the abundance and distribution of different
 plankton species is of great concern. Monitoring of eukaryotic plankton has traditionally been conducted by
 manual microscopic detection. Recently, alternative approaches have emerged such as high-throughput imaging