BEGIN:VCALENDAR VERSION:2.0 PRODID:www.eu-parc.eu BEGIN:VEVENT UID:69f3b1d1063dd DTSTART;VALUE=DATE:20240610 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20240611 SUMMARY:Systems Biology: From Large Datasets to Biological Insight CLASS:PUBLIC DESCRIPTION:The Systems Biology: From Large Datasets to Biological Insight course was held at the European Bioinformatics Institute\, United Kingdom\ , from 10 to 14 June 2024. The five-day program focused on the use of comp utational tools to extract meaningful biological insights from omics datas ets. Participants explored a wide range of approaches\, including data int egration\, network inference\, machine learning\, and logic modelling. Tog ether\, these techniques equipped attendees with a toolkit for designing n ew strategies to interpret large-scale biological data and apply these met hods in their own research.Target audienceThe course was designed for adva nced PhD students\, post-doctoral researchers\, and non-academic scientist s working with large-scale omics datasets to investigate biological functi on and processes. Applicants were expected to have one to two years of exp erience in systems biology or related multi-omics data analyses\, alongsid e working knowledge of Linux and the command line. Experience with Python or similar programming languages was highly desirable. X-ALT-DESC;FMTTYPE=text/html:

The Systems Bi ology: From Large Datasets to Biological Insight course was held at t he European Bioinformatics Institute\, United Kingdom\, from 10 to 14 June 2024. The five-day program focused on the use of computational tools to e xtract meaningful biological insights from omics datasets. Participants ex plored a wide range of approaches\, including data integration\, network i nference\, machine learning\, and logic modelling. Together\, these techni ques equipped attendees with a toolkit for designing new strategies to int erpret large-scale biological data and apply these methods in their own re search.

Target audience
The course was designed f or advanced PhD students\, post-doctoral researchers\, and non-academic sc ientists working with large-scale omics datasets to investigate biological function and processes. Applicants were expected to have one to two years of experience in systems biology or related multi-omics data analyses\, a longside working knowledge of Linux and the command line. Experience with Python or similar programming languages was highly desirable.

X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260430T194729Z END:VEVENT BEGIN:VEVENT UID:69f3b1d106416 DTSTART;VALUE=DATE:20240611 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20240612 SUMMARY:Systems Biology: From Large Datasets to Biological Insight CLASS:PUBLIC DESCRIPTION:The Systems Biology: From Large Datasets to Biological Insight course was held at the European Bioinformatics Institute\, United Kingdom\ , from 10 to 14 June 2024. The five-day program focused on the use of comp utational tools to extract meaningful biological insights from omics datas ets. Participants explored a wide range of approaches\, including data int egration\, network inference\, machine learning\, and logic modelling. Tog ether\, these techniques equipped attendees with a toolkit for designing n ew strategies to interpret large-scale biological data and apply these met hods in their own research.Target audienceThe course was designed for adva nced PhD students\, post-doctoral researchers\, and non-academic scientist s working with large-scale omics datasets to investigate biological functi on and processes. Applicants were expected to have one to two years of exp erience in systems biology or related multi-omics data analyses\, alongsid e working knowledge of Linux and the command line. Experience with Python or similar programming languages was highly desirable. X-ALT-DESC;FMTTYPE=text/html:

X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260430T194729Z END:VEVENT BEGIN:VEVENT UID:69f3b1d10644e DTSTART;VALUE=DATE:20240612 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20240613 SUMMARY:Systems Biology: From Large Datasets to Biological Insight CLASS:PUBLIC DESCRIPTION:The Systems Biology: From Large Datasets to Biological Insight course was held at the European Bioinformatics Institute\, United Kingdom\ , from 10 to 14 June 2024. The five-day program focused on the use of comp utational tools to extract meaningful biological insights from omics datas ets. Participants explored a wide range of approaches\, including data int egration\, network inference\, machine learning\, and logic modelling. Tog ether\, these techniques equipped attendees with a toolkit for designing n ew strategies to interpret large-scale biological data and apply these met hods in their own research.Target audienceThe course was designed for adva nced PhD students\, post-doctoral researchers\, and non-academic scientist s working with large-scale omics datasets to investigate biological functi on and processes. Applicants were expected to have one to two years of exp erience in systems biology or related multi-omics data analyses\, alongsid e working knowledge of Linux and the command line. Experience with Python or similar programming languages was highly desirable. X-ALT-DESC;FMTTYPE=text/html:

X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260430T194729Z END:VEVENT BEGIN:VEVENT UID:69f3b1d106460 DTSTART;VALUE=DATE:20240613 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20240614 SUMMARY:Systems Biology: From Large Datasets to Biological Insight CLASS:PUBLIC DESCRIPTION:The Systems Biology: From Large Datasets to Biological Insight course was held at the European Bioinformatics Institute\, United Kingdom\ , from 10 to 14 June 2024. The five-day program focused on the use of comp utational tools to extract meaningful biological insights from omics datas ets. Participants explored a wide range of approaches\, including data int egration\, network inference\, machine learning\, and logic modelling. Tog ether\, these techniques equipped attendees with a toolkit for designing n ew strategies to interpret large-scale biological data and apply these met hods in their own research.Target audienceThe course was designed for adva nced PhD students\, post-doctoral researchers\, and non-academic scientist s working with large-scale omics datasets to investigate biological functi on and processes. Applicants were expected to have one to two years of exp erience in systems biology or related multi-omics data analyses\, alongsid e working knowledge of Linux and the command line. Experience with Python or similar programming languages was highly desirable. X-ALT-DESC;FMTTYPE=text/html:

X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260430T194729Z END:VEVENT BEGIN:VEVENT UID:69f3b1d106472 DTSTART;VALUE=DATE:20240614 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20240615 SUMMARY:Systems Biology: From Large Datasets to Biological Insight CLASS:PUBLIC DESCRIPTION:The Systems Biology: From Large Datasets to Biological Insight course was held at the European Bioinformatics Institute\, United Kingdom\ , from 10 to 14 June 2024. The five-day program focused on the use of comp utational tools to extract meaningful biological insights from omics datas ets. Participants explored a wide range of approaches\, including data int egration\, network inference\, machine learning\, and logic modelling. Tog ether\, these techniques equipped attendees with a toolkit for designing n ew strategies to interpret large-scale biological data and apply these met hods in their own research.Target audienceThe course was designed for adva nced PhD students\, post-doctoral researchers\, and non-academic scientist s working with large-scale omics datasets to investigate biological functi on and processes. Applicants were expected to have one to two years of exp erience in systems biology or related multi-omics data analyses\, alongsid e working knowledge of Linux and the command line. Experience with Python or similar programming languages was highly desirable. X-ALT-DESC;FMTTYPE=text/html:

X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260430T194729Z END:VEVENT END:VCALENDAR