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BEGIN:VEVENT
DTSTAMP:20260604T233256Z
UID:0ec31a94-5769-4885-ac40-114448ecdded
DTSTART:20190311T090000Z
DTEND:20190317T170000Z
DESCRIPTION:<html><ul><li>This event was exported from <a href="https://exp
 lora.alliancecan.ca/" target="_blank" rel="noopener"><strong>Explora</stro
 ng></a></li><li>The content provider for this event is: <a href="https://e
 xplora.alliancecan.ca/content_providers/canadian-bioinformatics-workshops"
  target="_blank" rel="noopener">Canadian Bioinformatics Workshops</a></li>
 <li><strong>Registration may be required for the event</strong>\, please v
 isit the following URL to learn more: <a href="https://bioinformatics.ca/w
 orkshops-all/high-throughput-biology-from-sequence-to-networks/" target="_
 blank" rel="noopener">https://bioinformatics.ca/workshops-all/high-through
 put-biology-from-sequence-to-networks/</a></li></ul><hr><p>This course foc
 uses on the analysis of DNA and RNA sequencing data\, and is offered at Co
 ld Spring Harbor in odd-numbered years. See this page for a companion co
 urse in cancer genomics data analysis\, offered in even-numbered years. Wi
 th the introduction of next-generation sequencing platforms\, it is now fe
 asible to use high-throughput sequencing approaches to address many resear
 ch questions. Now more than ever\, it is crucial to know what bioinformati
 c tools and resources are available\, and it is necessary to develop infor
 matic skills to analyze high-throughput data using those tools. The Canadi
 an Bioinformatics Workshops (CBW)\, in collaboration with Cold Spring Harb
 or Laboratory\, has developed a comprehensive seven-day course covering ke
 y bioinformatics concepts and tools required to analyze DNA- and RNA-seque
 nce reads using a reference genome. This course combines the material and 
 concepts from three established CBW workshops\; see a full outline here.<
 /p></html>
SUMMARY:(2019) High-throughput Biology: From Sequence to Networks
URL;VALUE=URI:https://bioinformatics.ca/workshops-all/high-throughput-biolo
 gy-from-sequence-to-networks/
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