{"id":28442679,"url":"https://github.com/bdsinger/pnicorr","last_synced_at":"2026-06-30T11:31:41.391Z","repository":{"id":21952662,"uuid":"25277219","full_name":"bdsinger/pnicorr","owner":"bdsinger","description":"High performance auto-correlation of fMRI data","archived":false,"fork":false,"pushed_at":"2015-07-13T14:02:49.000Z","size":588,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2026-06-11T06:27:38.607Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"C","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/bdsinger.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2014-10-15T23:00:49.000Z","updated_at":"2014-10-16T01:17:20.000Z","dependencies_parsed_at":"2022-07-27T02:47:29.819Z","dependency_job_id":null,"html_url":"https://github.com/bdsinger/pnicorr","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/bdsinger/pnicorr","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bdsinger%2Fpnicorr","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bdsinger%2Fpnicorr/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bdsinger%2Fpnicorr/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bdsinger%2Fpnicorr/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/bdsinger","download_url":"https://codeload.github.com/bdsinger/pnicorr/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bdsinger%2Fpnicorr/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34965642,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-30T02:00:05.919Z","response_time":92,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-06-06T06:07:57.152Z","updated_at":"2026-06-30T11:31:41.363Z","avatar_url":"https://github.com/bdsinger.png","language":"C","funding_links":[],"categories":[],"sub_categories":[],"readme":"pnicorr\n=======\n\nHigh performance auto-correlation of fMRI data\n\n- Intial version supports .1D | .1D.gz format as exported from [afni](http://afni.nimh.nih.gov)'s SUMA program.\n- Uses multi-threaded BLAS to do the correlation\n- Allows one to provide an upper RAM limit\n\nFrom the help:\n\n    usage: pnicorr file.1D[.gz] [options]\n     -norm|-nonorm:         normalize rows (or don't). default is to normalize.\n\n     -mem=MB:               memory (MB)\n                            Smaller means more file activity; computing is done\n                            in stages. Default is the same as -mem=4000  (4G)\n\n     -iotype=1D|1Dgz|mat:   1D: same as input (SUMA ascii)  [default for input]\n                          1Dgz: same as input, gzipped\n                           mat:  matlab .mat file  [default for output]\n\nReally the input can be any matrix of values, where each row is a time-series to be correlated with all other rows. The format is:\n\n     [# comments]\n     [int int int ] fl.oat fl.oat ...\n\n     ([] means optional.)\n\nNote that only the metadata columns must be ints and must have no decimal. Data must have a decimal, even if it is just `.0`. This is the quick and dirty way the file is parsed. This is the format saved by the `3dVol2Surf` program from [afni](http://afni.nimh.nih.gov). Other input formats will be supported asap.\n\nEach row is a timeseries with its values separated by whitespace. The rows can be any timeseries data. No spatial information is used (nor available.)\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbdsinger%2Fpnicorr","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbdsinger%2Fpnicorr","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbdsinger%2Fpnicorr/lists"}