# MICROBIO 357: General Bioinformatics for Microbiologists | UW–Madison [View on UW Courses](https://uwcourses.com/courses/MICROBIO_357) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07 ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T19:50:42.743001+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id f51fa65456e9cf2780eff36e732786499a45bd5aa44c9e4ccda48f8f55dc82ab ### course id MICROBIO 357 ### course uid course\_4f3a9fea8d9670dda3da3e1c ### catalog version id 18624d696c0046c5c554b4aa891c8193c22d7cea60b8ad29a4b910386630439f ### course number 357 ### subjects * MICROBIO ### title GENERAL BIOINFORMATICS FOR MICROBIOLOGISTS ### description Provides foundational introduction to bioinformatics for microbiologists. Emphasis on the basic understanding of bioinformatics tools, analysis, and databases and their applications (e.g. Sequence alignment, Phylogenetic trees, Genome analyses). Topics include: command line manipulation, sequence alignment, file formats, phylogenetic trees, standard genome and protein databases, interpretation of microbial and viral genomes, and basic scientific computer programming. ### requirements text MICROBIO 303,BIOCHEM 501,507, or graduate/professional standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 1b2b8ca7d13d00e6607ac1d2a1554d729a4f819995e9301551cf3863f8ef5cd4 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduction to bioinformatics tools and genomic analysis for microbiologists. ### llm topics * Sequence alignment, phylogenetic trees, and genome analysis. ### llm skills * Bioinformatics tool usage and genomic data analysis. ### llm assumed background * Foundational knowledge in microbiology and biochemistry. ### llm search phrases * bioinformatics microbiology * sequence alignment phylogenetic trees * microbial genome analysis * command line bioinformatics ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 96845af103c0702251bd8da12fd598fe0b7703d49b834c91c38749174f53c08d #### course id MICROBIO 357 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 3.61 GPA, 84.2% A/AB (n=19 letter grades); Spring 2025: 3.68 GPA, 82.4% A/AB (n=17 letter grades); Spring 2026: 3.76 GPA, 93.1% A/AB (n=29 letter grades). ```json { "citations": [ { "course_id": "MICROBIO 357", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "27971765-a81e-305a-badb-b3ea79b4760e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "MICROBIO 357", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "27971765-a81e-305a-badb-b3ea79b4760e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "MICROBIO 357", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "27971765-a81e-305a-badb-b3ea79b4760e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "MICROBIO 303,BIOCHEM 501,507, or graduate/professional standing", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 303, "minimum_grade": null, "subjects": [ "MICROBIO" ], "timing": "prior" }, "evidence": "MICROBIO 303", "id": "n1", "kind": "course" }, { "children": [ "n3", "n4", "n5" ], "condition": null, "course": null, "evidence": "BIOCHEM 501,507, or graduate/professional standing", "id": "n2", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 501, "minimum_grade": null, "subjects": [ "BIOCHEM" ], "timing": "prior" }, "evidence": "BIOCHEM 501", "id": "n3", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 507, "minimum_grade": null, "subjects": [ "BIOCHEM" ], "timing": "prior" }, "evidence": "MICROBIO 303,BIOCHEM 501,507, or graduate/professional standing", "id": "n4", "kind": "course" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n5", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_8fc6bbb33d35bdf5acdec188", "source": "madgrades", "source_instructor_id": "6041561", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KARTHIK ANANTHARAMAN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.428, "graded": 370, "counts": [ 157, 79, 95, 16, 18, 3, 2 ], "sections": 48 }, "instructor_url": "/instructors/KARTHIK_ANANTHARAMAN--instructor_8fc6bbb33d35bdf5acdec188" }, { "instructor_uid": "instructor_967b485fb93dfbf3a28f763a", "source": "madgrades", "source_instructor_id": "5592177", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BRIANA BURTON", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 6, "quality": 3.5, "difficulty": 3.83, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:2204133", "source_url": "https://www.ratemyprofessors.com/professor/2204133", "match_basis": "exact_name", "observed_at": "2026-09-07 16:51:02.741843+00:00", "courses": { "course_50097f4cc0aabc7da8a401b4": { "review_count": 3, "quality": 2.33, "difficulty": 3.33, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.622835218112766, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.335, "graded": 1473, "counts": [ 620, 281, 286, 132, 114, 33, 7 ], "sections": 65 }, "instructor_url": "/instructors/BRIANA_BURTON--instructor_967b485fb93dfbf3a28f763a" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 357", "course_uid": "course_4f3a9fea8d9670dda3da3e1c", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Karthik Anantharaman" ], "a": 13, "ab": 3, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 19, "source_aliases": [ "MICROBIO 357" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 357", "course_uid": "course_4f3a9fea8d9670dda3da3e1c", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Briana Burton" ], "a": 10, "ab": 4, "b": 2, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 17, "source_aliases": [ "MICROBIO 357" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "MICROBIO 357", "course_uid": "course_4f3a9fea8d9670dda3da3e1c", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Karthik Anantharaman" ], "a": 18, "ab": 9, "b": 1, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "MICROBIO 357" ] } ] ``` ### statistics #### gpa 3.692 #### graded 65 #### counts * 41 * 16 * 5 * 2 * 0 * 0 * 1 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_4f3a9fea8d9670dda3da3e1c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_4f3a9fea8d9670dda3da3e1c-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_4f3a9fea8d9670dda3da3e1c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_4f3a9fea8d9670dda3da3e1c-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_4f3a9fea8d9670dda3da3e1c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_4f3a9fea8d9670dda3da3e1c-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.6923076923076925 #### count 65 #### university ##### size 2411 ##### gpa Percentile 43 ##### count Percentile 34 ##### median Count 90 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 163 | false | | 3.2–3.6 | 604 | false | | 3.6–4.0 | 1627 | true | #### departments ```json [ { "subject": "MICROBIO", "comparison": { "size": 19, "gpaPercentile": 50, "countPercentile": 6, "medianCount": 141, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 10, "current": true } ] } } ] ``` ### terms #### 1244 ##### term 1244 ##### gpa 3.6052631578947367 ##### count 19 ##### departments | subject | comparison | | -------- | ---------- | | MICROBIO | | #### 1254 ##### term 1254 ##### gpa 3.676470588235294 ##### count 17 ##### departments | subject | comparison | | -------- | ---------- | | MICROBIO | | #### 1264 ##### term 1264 ##### gpa 3.7586206896551726 ##### count 29 ##### departments | subject | comparison | | -------- | ---------- | | MICROBIO | | ### benchmarks #### all ##### school ###### size 2411 ###### gpa 3.6770271983084943 ###### top Share 83.11222705251026 ###### count 90 ##### MICROBIO ###### size 19 ###### gpa 3.5872855843075806 ###### top Share 75.31467586710738 ###### count 141 #### terms ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### MICROBIO ###### size 13 ###### gpa 3.580176440600032 ###### top Share 72.86950540253491 ###### count 55 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### MICROBIO ###### size 16 ###### gpa 3.606108325255848 ###### top Share 74.93299235211991 ###### count 64.5 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### MICROBIO ###### size 16 ###### gpa 3.4872646204586175 ###### top Share 69.93306631199319 ###### count 56 ## instructor Trends ```json [ { "uid": "instructor_8fc6bbb33d35bdf5acdec188", "name": "KARTHIK ANANTHARAMAN", "count": 48, "terms": [ { "term": "1244", "count": 19, "sections": 1, "gpa": 3.6052631578947367 }, { "term": "1264", "count": 29, "sections": 1, "gpa": 3.7586206896551726 } ] }, { "uid": "instructor_967b485fb93dfbf3a28f763a", "name": "BRIANA BURTON", "count": 17, "terms": [ { "term": "1254", "count": 17, "sections": 1, "gpa": 3.676470588235294 } ] } ] ``` ## following None recorded.