What changed in R2026.7 (package 1.8.0, 2026-09-28)
1,051,898
sample × field values added (396,994 samples, 2,231 studies)
2,702
catalog studies added
0
registry studies added
Values added, by field
| field | values | samples | studies |
|---|---|---|---|
| country | 352,461 | 352,461 | 2,031 |
| health_condition_detail | 198,955 | 198,955 | 1,303 |
| health_condition | 149,452 | 149,452 | 1,042 |
| subject_id | 111,457 | 111,457 | 454 |
| sex | 86,102 | 86,102 | 476 |
| age_at_collection_days | 68,040 | 68,040 | 448 |
| timepoint_label | 37,625 | 37,625 | 198 |
| bmi | 30,254 | 30,254 | 160 |
| antibiotic_exposure | 17,552 | 17,552 | 92 |
By route: R1 787,002 · R4 143,372 · R2 63,418 · R3 58,106
Studies with the most added values
| study | title | values | samples touched | samples in study | fields | routes |
|---|---|---|---|---|---|---|
| PRJEB32762 | iMSMS Baranzini data | 20,071 | 3,765 | 3,765 | age_at_collection_days, bmi, country, health_condition, health_condition_detail, sex, subject_id | R1, R2, R4 |
| PRJEB108450 | Exploring Fecal Microbiome in the CHILD COVID-19 sub-project | 19,654 | 4,102 | 4,102 | age_at_collection_days, country, health_condition_detail, sex, subject_id | R1, R4 |
| PRJEB37731 | Effects of the menstrual cycle and hormonal contraceptives on the human microbiome | 17,685 | 2,824 | 2,825 | age_at_collection_days, antibiotic_exposure, bmi, country, health_condition, health_condition_detail, sex, subject_id | R1, R3 |
| PRJNA416160 | The Environmental Determinants of Diabetes in the Young (TEDDY) Parent Study | 17,486 | 8,743 | 8,747 | sex, subject_id | R1 |
| PRJEB23147 | Human_colon_16S | 16,232 | 5,249 | 5,249 | health_condition, health_condition_detail, sex, subject_id | R1, R4 |
| PRJEB60398 | Data-driven prediction of colonization outcomes for complex microbial communities | 13,796 | 3,563 | 3,564 | country, health_condition, health_condition_detail, subject_id | R1, R2, R3 |
| PRJEB75464 | PREDICT 3 UK22A | 12,349 | 12,349 | 12,353 | country | R1 |
| PRJEB75462 | PREDICT 3 US21 | 11,795 | 11,795 | 11,797 | country | R1 |
| PRJNA1235197 | Microbiome signatures linked to cancer and treatment adverse events in a real-world cohort | 11,500 | 1,651 | 1,651 | age_at_collection_days, antibiotic_exposure, bmi, country, health_condition, health_condition_detail, sex | R1 |
| PRJEB51353 | Human gut metagenomes of SCAPIS Uppsala and Malmo | 9,817 | 9,817 | 9,819 | country | R1 |
| PRJEB40903 | DNA extraction comparison testing 2019-2020 | 8,650 | 1,971 | 1,971 | age_at_collection_days, bmi, country, sex, subject_id, timepoint_label | R1 |
| PRJEB75463 | PREDICT 3 US22A | 8,468 | 8,468 | 8,469 | country | R1 |
| PRJEB28097 | (1) Personalized microbiome and host features resist gut mucosal colonization by empiric probiotics | 7,153 | 1,613 | 1,613 | age_at_collection_days, health_condition, sex, subject_id, timepoint_label | R1 |
| PRJNA1391538 | Pre-HCT Resistome Disruption Predicts ESBL Gene Expansion in Pediatric Transplant Recipients: A Pros | 6,375 | 1,242 | 1,242 | age_at_collection_days, country, health_condition, sex, subject_id, timepoint_label | R1 |
| PRJEB64515 | Gut Microbiome Dynamics and Predictive Value in Hospitalized COVID-19 Patients: A Comparative Analys | 6,341 | 946 | 946 | age_at_collection_days, antibiotic_exposure, bmi, country, health_condition, health_condition_detail, sex, subject_id | R1, R2 |
| PRJNA1167328 | Gut Microbiome Signatures Predict Long COVID | 6,144 | 944 | 944 | age_at_collection_days, country, health_condition, health_condition_detail, sex, subject_id, timepoint_label | R1 |
| PRJNA993675 | Discovery of disease-adapted bacterial lineages in inflammatory bowel diseases | 5,760 | 960 | 960 | age_at_collection_days, country, health_condition, health_condition_detail, sex, subject_id | R1 |
| PRJEB102033 | Lantibiotic-producing bacteria impact microbiome resilience and colonization resistance | 5,631 | 1,877 | 1,877 | country, health_condition_detail, subject_id | R1, R4 |
| PRJEB47383 | Personalized microbiome-driven effects of non-nutritive sweeteners on human glucose tolerance | 5,598 | 1,866 | 1,869 | country, health_condition, health_condition_detail | R1, R4 |
| PRJNA354235 | Human gut metagenome and metatranscriptome raw sequence reads. | 5,228 | 1,307 | 1,307 | country, health_condition, subject_id, timepoint_label | R1, R2, R4 |
| PRJNA1305379 | Fecal immunochemical tests from population-based colorectal cancer screening programs support prospe | 5,170 | 1,164 | 1,164 | age_at_collection_days, antibiotic_exposure, bmi, country, sex | R1 |
| PRJNA957107 | Imrabiome - Rheumatoid project | 5,066 | 726 | 726 | age_at_collection_days, bmi, country, health_condition, health_condition_detail, sex, timepoint_label | R1, R3 |
| PRJEB114255 | IBD Parisian Gut Microbiome Cohorte | 4,936 | 844 | 844 | age_at_collection_days, country, health_condition, health_condition_detail, sex, subject_id | R1 |
| PRJNA698223 | TD Cusco travelers study | 4,892 | 993 | 993 | age_at_collection_days, antibiotic_exposure, country, health_condition_detail, sex, subject_id, timepoint_label | R1, R2, R4 |
| PRJNA834801 | Characterizing dysbiosis of the Parkinson's disease gut microbiome using shotgun metagenomics | 4,867 | 725 | 725 | age_at_collection_days, antibiotic_exposure, bmi, country, health_condition, health_condition_detail, sex | R1 |
Catalog studies added
| study | title | samples |
|---|---|---|
| PRJEB75464 | PREDICT 3 UK22A | 12,353 |
| PRJNA400115 | TEDDY Microbiome | 12,266 |
| PRJEB75462 | PREDICT 3 US21 | 11,797 |
| PRJEB51353 | Human gut metagenomes of SCAPIS Uppsala and Malmo | 9,819 |
| PRJNA416160 | The Environmental Determinants of Diabetes in the Young (TEDDY) Parent Study | 8,747 |
| PRJEB75463 | PREDICT 3 US22A | 8,469 |
| PRJEB11419 | American Gut Project | 7,353 |
| PRJEB108612 | MOMmy-Microbiome_Epigenome_Neurodevelopment | 5,328 |
| PRJEB23147 | Human_colon_16S | 5,249 |
| PRJNA1468137 | Maternal influences on infant gut microbiome and health | 4,749 |
| PRJNA1347413 | Metagenomic data from the ASPREE-XT study | 4,711 |
| PRJEB108450 | Exploring Fecal Microbiome in the CHILD COVID-19 sub-project | 4,102 |
| PRJEB32762 | iMSMS Baranzini data | 3,765 |
| PRJEB60398 | Data-driven prediction of colonization outcomes for complex microbial communities | 3,564 |
| PRJNA838575 | CHILD Infant Stool Raw sequence reads | 2,934 |
| PRJEB37731 | Effects of the menstrual cycle and hormonal contraceptives on the human microbiome | 2,825 |
| PRJEB46788 | Codiversification of gut microbiota with humans | 2,750 |
| PRJEB70237 | HELMi infant and parental stool WGS metagenomes | 2,664 |
| PRJEB97686 | BMT CTN 1801 microbiome data | 2,631 |
| PRJNA1357304 | Shotgun metagenomic sequencing of stool microbiomes relating to "Characterising the gut phageome and | 2,472 |
| PRJEB110772 | Gut microbiota associates with frailty in older women | 2,398 |
| PRJEB45799 | The person-to-person transmission landscape of the gut and oral microbiomes | 2,394 |
| PRJEB32631 | Early_life_microbiota_colonisation | 2,387 |
| PRJEB49383 | Preterm Neonatal Stool Metagenomes | 2,351 |
| PRJEB75465 | PREDICT 3 UK23ART | 2,245 |
First 25 of 2,702.