LSF project codes¶
To run any jobs on the HPC, you will need to use your project code.
You can see what queues are assigned to you using:
bugroup -w | grep <your_username> | awk '{print $1}'
These are the current LSF queues and project codes. Updated on 8th November 2023.
| GECIP domain or Discovery Forum | Project code |
|---|---|
| Breast cancer | re_gecip_cancer_breast |
| Childhood cancer | re_gecip_cancer_childhood |
| Colorectal cancer | re_gecip_cancer_colorectal |
| Glioma | re_gecip_cancer_glioma |
| Haematological malignancy | re_gecip_cancer_haem |
| Head and Neck Cancer | re_gecip_cancer_head_neck |
| Lung cancer | re_gecip_cancer_lung |
| Melanoma | re_gecip_cancer_melanoma |
| Neuroendocrine cancer | re_gecip_cancer_neuroendocrine |
| Ovarian cancer | re_gecip_cancer_ovarian |
| Pan-cancer | re_gecip_cancer_pan |
| Prostate cancer | re_gecip_cancer_prostate |
| Renal cell carcinoma | re_gecip_cancer_renal_cell |
| Sarcoma | re_gecip_cancer_sarcoma |
| Testicular cancer | re_gecip_cancer_testicular |
| Cancer of unknown primary | re_gecip_cancer_unknown_primary |
| Uppergastrointestinal cancer | re_gecip_cancer_upper_gi |
| Cardiovascular | re_gecip_cardiovascular |
| Endocrine and metabolism | re_gecip_endocrine_and_metabolism |
| Enhanced Interpretation | re_gecip_enhanced_interpretation |
| Ethics and social science | re_gecip_ethics_social_science |
| Functional crosscutting | re_gecip_functional_crosscutting |
| Functional effects | re_gecip_functional_effects |
| Non-malignant haematological and haemostasis disorders | re_gecip_haem_disorders |
| Health Economics | re_gecip_health_economics |
| Electronic health records | re_gecip_health_records |
| Hearing and sight | re_gecip_hearing_and_sight |
| Immune disorders | re_gecip_immune |
| Inherited cancer predisposition | re_gecip_inherited_cancer_predisposition |
| Quantitative methods, machine learning and functional genomics | re_gecip_machine_learning |
| Musculoskeletal | re_gecip_musculoskeletal |
| Neurology | re_gecip_neurology |
| Paediatrics | re_gecip_paediatrics |
| Population genomics | re_gecip_population_genomics |
| Renal | re_gecip_renal |
| Respiratory | re_gecip_respiratory |
| Skin | re_gecip_skin |
| Stratified medicine | re_gecip_stratified_medicine |
| Astrazeneca | re_df_astrazeneca |
| Bayer | re_df_bayer |
| Biocortex | re_df_biocortex |
| Biogen | re_df_biogen_rw |
| Biomarin | re_df_biomarin |
| Bristol-Myers Squibb | Re_df_bms |
| Boehringer Ingelheim | re_df_boehringer_ingelheim |
| Bridgebio | re_df_bridge_bio |
| Calico Labs | re_df_calicolabs |
| Case45 | re_df_case45 |
| Commercial | re_df_commercial |
| Cosyne | re_df_cosyne |
| Curenetics | re_df_curenetics |
| ElevenTx | re_df_ElevenTx |
| Empiricotx | re_df_empiricotx |
| EveryONE Medicines | re_df_everyonemedicines |
| Flare Tx | re_df_flare |
| re_df_Gastroenterology_and_hepatology | |
| GSK | re_df_gsk |
| Health Lumen | re_df_healthlumen |
| IBM | re_df_ibm |
| Ignotalabs | re_df_ignotalabs |
| illumina | re_df_illumina |
| illumina Academic Collab | re_df_illumina_academic_collab |
| Instadeep | re_df_instadeep |
| Ionis | re_df_ionis |
| IQVIA | re_df_iqvia |
| Janssen | re_df_Janssen |
| Lifebit | re_df_lifebit |
| m2m | re_df_m2m |
| Metabolon | re_df_metabolon |
| Novartis | re_df_novartis |
| Novonordisk | re_df_novonordisk |
| Nucleome | re_df_nucleome |
| ONT (Oxford Nanopore Technologies) | re_df_ONT |
| Orca | re_df_orca |
| Outseebio | re_df_outseebio |
| Pheiron | re_df_pheiron |
| Quotienttx | re_df_quotienttx |
| Roche | re_df_roche |
| Roche Collaboration | re_df_roche_dw_collaboration |
| SAGA Diagnostics | re_df_sagadiagnostics |
| Seqone | re_df_seqone |
| Serinusbio | re_df_serinusbio |
| Servier | re_df_servier |
| UCB | re_df_ucb |