Scientific workflows in Life Sciences are usually complex, and use many online databases,
analysis tools, publication repositories and customized computation intensive desktop
software in a coherent manner to respond to investigative queries. These investigative
queries are generally ad hoc, ill-formed, and often, used only once to test a single
hypothesis. In such cases, developing customized workflows becomes a major undertaking,
rendering the effort truly expensive, prohibitive and resource intensive. Such high …

Abstract Scientific workflows in Life Sciences are usually complex, and use many online
databases, analysis tools, publication repositories and customized computation intensive
desktop software in a coherent manner to respond to investigative queries. These
investigative queries are generally ad hoc, ill-formed, and often, used only once to test a
single hypothesis. In such cases, developing customized workflows becomes a major
undertaking, rendering the effort truly expensive, prohibitive and resource intensive. Such …