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program for aligning and scoring two profile hidden Markov models

PRC is a stand-alone program for aligning and scoring two profile hidden Markov models. This can be used to detect remote relationships between profiles more effectively than by doing simple profile-sequence comparisons. PRC takes into account all transition and emission probabilities in both hidden Markov models. PRC can read SAM, HMMER, PSI-BLAST and FASTA files.

Version: 1.5.6 License: GPL-2+ GitHub
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14 build(s) found
Builder Build Number Start Time Elapsed Time Watcher Build Status
26.arm64 14789 2025-10-02 14:16:30 0:00:07 746 failed install-port
15.arm64 25722 2025-08-19 13:27:22 0:00:06 10031 failed install-port
15 37271 2025-08-18 3:48:07 0:00:11 10809 failed install-port
15.arm64 14618 2025-03-15 2:49:31 0:00:07 5930 failed install-port
15 15861 2024-10-18 6:16:59 0:00:35 2028 failed install-port
14.arm64 13232 2024-01-26 11:23:14 0:00:11 4720 build successful
14 16521 2023-12-07 12:45:31 0:00:23 2637 build successful
13.arm64 12256 2023-03-09 15:05:05 0:00:06 4269 build successful
13 14762 2023-01-13 11:52:08 0:00:17 2055 build successful
12 15124 2022-01-16 13:16:47 0:00:16 3552 build successful
12.arm64 22960 2021-11-21 9:01:17 0:00:08 1403 build successful
11 11663 2021-01-02 21:25:41 0:00:47 1559 build successful
11.arm64 7080 2021-01-02 15:22:14 0:00:10 1656 build successful
10.15 17684 2019-12-29 19:54:24 0:01:01 1789 build successful