Conda users should update pipeline's environment. However, reinstalling is always recommended since we added GNU utils to the installer. # To update env $ bash scripts/update_conda_env.sh # To re-install env $ bash scripts/uninstall_conda_env.sh $ bash scripts/install_conda_env.sh New factor-based resource parameters New parameters are factor-based and those factors are multiplied to task's input file sizes to determine required resources (mem/disk) to run a task (on a cloud instance or as an HCP job). e.g. for each replicate, sum of all R1/R2 FASTQs size will be used to determine resource for task align and BAM size will be used for task filter. e.g. if you have total 20 GB (R1 + R2) of PE FASTQs and default chip.align_mem_factor is 0.1...
Hotfix for Conda environment error (missing package bedClip). Conda users should re-install pipeline...
Upgrade Caper to the latest >=2.0.0. Old versions of Caper won't work correctly on HPCs. $ pip insta...
Fixed the issue that test run takes too much resources. Now users can run a test pipeline on a lapto...
Conda users should update pipeline's environment. However, reinstalling is always recommended since ...
Conda users must re-install Conda environment. $ scripts/uninstall_conda_env.sh $ scripts/install_co...
Conda users must re-install Conda environment. $ scripts/uninstall_conda_env.sh $ scripts/install_co...
Conda users should update pipeline's environment. $ bash scripts/update_conda_env.sh Bug fixes Dep...
Conda users need to re-install pipeline's Conda env. $ bash scripts/uninstall_conda_env.sh $ bash sc...
Conda users need to update pipeline's Conda env (no re-installation required). $ scripts/update_cond...
Conda users should re-install pipeline's environment. $ bash scripts/uninstall_conda_env.sh $ bash s...
Conda users must update pipeline's environment. $ bash scripts/update_conda_env.sh Added input para...
Upgrade Caper to >=2.2.0 for new HPC features. $ pip install caper>=2.2.0 --upgrade Conda environme...
Fixed Conda libreadline.so.6 issue Show more info in final HTML report Conda users need to update (...
Fixed the issue that test run takes too much resources. Now users can run a test pipeline on a lapto...
IMPORTANT: Update Caper >= 0.8. ``` $ pip install caper --upgrade ``` IMPORTANT: Conda users must u...
Hotfix for Conda environment error (missing package bedClip). Conda users should re-install pipeline...
Upgrade Caper to the latest >=2.0.0. Old versions of Caper won't work correctly on HPCs. $ pip insta...
Fixed the issue that test run takes too much resources. Now users can run a test pipeline on a lapto...
Conda users should update pipeline's environment. However, reinstalling is always recommended since ...
Conda users must re-install Conda environment. $ scripts/uninstall_conda_env.sh $ scripts/install_co...
Conda users must re-install Conda environment. $ scripts/uninstall_conda_env.sh $ scripts/install_co...
Conda users should update pipeline's environment. $ bash scripts/update_conda_env.sh Bug fixes Dep...
Conda users need to re-install pipeline's Conda env. $ bash scripts/uninstall_conda_env.sh $ bash sc...
Conda users need to update pipeline's Conda env (no re-installation required). $ scripts/update_cond...
Conda users should re-install pipeline's environment. $ bash scripts/uninstall_conda_env.sh $ bash s...
Conda users must update pipeline's environment. $ bash scripts/update_conda_env.sh Added input para...
Upgrade Caper to >=2.2.0 for new HPC features. $ pip install caper>=2.2.0 --upgrade Conda environme...
Fixed Conda libreadline.so.6 issue Show more info in final HTML report Conda users need to update (...
Fixed the issue that test run takes too much resources. Now users can run a test pipeline on a lapto...
IMPORTANT: Update Caper >= 0.8. ``` $ pip install caper --upgrade ``` IMPORTANT: Conda users must u...
Hotfix for Conda environment error (missing package bedClip). Conda users should re-install pipeline...
Upgrade Caper to the latest >=2.0.0. Old versions of Caper won't work correctly on HPCs. $ pip insta...
Fixed the issue that test run takes too much resources. Now users can run a test pipeline on a lapto...