bit 477/577: metagenomics -...

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BIT 477/577: Metagenomics Overview: Par$cipants will be introduced to a variety of methods for studying the complex microbial popula$ons that surround us, including applica$ons, limita$ons, and health and legal implica$ons. Students will apply highthroughput sequencing techniques to mine the gene$c diversity of complex popula$ons such as the community of microbes growing happily in a kitchen sink. Labs: 1. Isola$on of DNA from studentselected microbial community and prepara$on (Q/C) for high throughput sequencing. 2. Assembly and gene annota$on of sequence data from microbial community using cloud compu$ng. 3. Use of bioinforma$cs soLware for analyses of metagenomic surveys. 4. Use of cloudbased pipelines for analyzing 16S sequences. 5. Use of QIIME for diversity analyses. Lectures: 1. Introduc$on to metagenomics and microbial communi$es 2. Exploi$ng genome sequencing for drug and biotechnology product discovery. 3. Approaches and limita$ons of metagenomic surveys. 4. Analyzing and visualizing metagenomic data (R and online tools for sequence analysis)

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Page 1: BIT 477/577: Metagenomics - Biotechbiotech.ncsu.edu/.../000/037/original/BIT477_F17_Metagenomics_sli… · BIT 477/577: Metagenomics Overview: • Par$cipants+ will+ be+ introduced+

BIT 477/577: Metagenomics

Overview:    •  Par$cipants   will   be   introduced   to   a   variety   of   methods   for   studying   the   complex   microbial  

popula$ons  that  surround  us,  including  applica$ons,  limita$ons,  and  health  and  legal  implica$ons.  

•  Students   will   apply   high-­‐throughput   sequencing   techniques   to   mine   the   gene$c   diversity   of  complex  popula$ons  such  as  the  community  of  microbes  growing  happily  in  a  kitchen  sink.  

Labs:  1.  Isola$on  of  DNA  from  student-­‐selected  microbial  community  and  prepara$on  (Q/C)  for  high-­‐

throughput  sequencing.  2.  Assembly  and  gene  annota$on  of  sequence  data  from  microbial  community  using  cloud  

compu$ng.  3.  Use  of  bioinforma$cs  soLware  for  analyses  of  metagenomic  surveys.  4.  Use  of  cloud-­‐based  pipelines  for  analyzing  16S  sequences.  5.  Use  of  QIIME  for  diversity  analyses.  

Lectures:  1.  Introduc$on  to  metagenomics  and  microbial  

communi$es  2.  Exploi$ng  genome  sequencing  for  drug  and  

biotechnology  product  discovery.  3.   Approaches  and  limita$ons  of  metagenomic  

surveys.  4.  Analyzing  and  visualizing  metagenomic  data    

(R  and  online  tools  for  sequence  analysis)