"The basic premise of the event is that hunters hunt rattlesnakes from the surrounding environment all across West Texas, and bring them into the roundup for the weekend. And during the roundup, these snakes are kept in a pit and then, one by one, beheaded and skinned in front of in front of audiences." - Elizabeth MeLampy Elizabeth MeLampy is a lawyer dedicated to animal rights and protection, and her passion for this work shines through in her latest book, Forget the Camel, the Madcap World of Animal Festivals and What They Say About Being Human . To research the book, Elizabeth traveled across the country, immersing herself in a wide range of animal festivals — from the Iditarod dog sled race to the rattlesnake roundup in Sweetwater, Texas. Elizabeth examines these festivals as revealing microcosms of our broader relationship with animals. Whether it's rattlesnake hunts, frog-jumping contests, ostrich races, or groundhog celebrations, these events reflect the ways humans use animals to express cultural identity, community pride, and historical traditions. Yet beneath the pageantry and excitement lies a deeper question: Is our fascination with these spectacles worth the toll it takes on the animals involved? With compassion and insight, Elizabeth invites readers to consider whether there’s a more ethical and empathetic way to honor our stories — one that respects both animals and the traditions they inspire. Please listen, share and read, Forget the Camel. It will be released on April 8th, 2025. https://apollopublishers.com/index.php/forget-the-camel/…
Often the hard part of bioinformatics isnt the analysis, its getting all of the software you need setup and installed. Come with us on this journey and avoid dependancy hell. In the MicroBinfie podcast, the hosts discuss the struggles of installing, managing, and dealing with dependencies with bioinformatics software. In the past, software installations were a nightmare, and it was common to edit lines of code and manage dependencies manually, causing conflicts like diamond dependency. To ease this process, the hosts suggest using containers, virtual machines, and local environments. They stress the importance of adhering to semantic versioning guidelines and understanding the end-users' perspective for proper documentation, testing, and clarity regarding dependencies. Additionally, software maintenance is critical for its longevity and usability. The hosts also discuss software dependency management with different chip architectures and operating systems. The M1 Apple architecture's differences from traditional computer processors cause compatibility issues and slow down emulation, leading to difficulties in informatics. Using separate Conda environments for each project or Mamba as a package manager can solve dependency-related problems that can cause significant issues. However, Mamba may take shortcuts and create conflicts with specific programs. Other package managers like Homebrew and APT are also discussed. The episode also covers the benefits of using Docker and Singularity to manage software packages on a local machine. Docker is useful for databases, web servers, and complicated pipelines, while Singularity is perfect for more complex software and plays better with HPC. The hosts provide tips on using containers or virtual machines in a team environment, passing containers instead of binary files, and using Docker and Singularity as tools to ease the process. Overall, the episode offers practical advice to streamline the workflow of researchers who manage software packages.
Often the hard part of bioinformatics isnt the analysis, its getting all of the software you need setup and installed. Come with us on this journey and avoid dependancy hell. In the MicroBinfie podcast, the hosts discuss the struggles of installing, managing, and dealing with dependencies with bioinformatics software. In the past, software installations were a nightmare, and it was common to edit lines of code and manage dependencies manually, causing conflicts like diamond dependency. To ease this process, the hosts suggest using containers, virtual machines, and local environments. They stress the importance of adhering to semantic versioning guidelines and understanding the end-users' perspective for proper documentation, testing, and clarity regarding dependencies. Additionally, software maintenance is critical for its longevity and usability. The hosts also discuss software dependency management with different chip architectures and operating systems. The M1 Apple architecture's differences from traditional computer processors cause compatibility issues and slow down emulation, leading to difficulties in informatics. Using separate Conda environments for each project or Mamba as a package manager can solve dependency-related problems that can cause significant issues. However, Mamba may take shortcuts and create conflicts with specific programs. Other package managers like Homebrew and APT are also discussed. The episode also covers the benefits of using Docker and Singularity to manage software packages on a local machine. Docker is useful for databases, web servers, and complicated pipelines, while Singularity is perfect for more complex software and plays better with HPC. The hosts provide tips on using containers or virtual machines in a team environment, passing containers instead of binary files, and using Docker and Singularity as tools to ease the process. Overall, the episode offers practical advice to streamline the workflow of researchers who manage software packages.