Workflows are fundaments of the IntelliseqFlow platform and their development is the core activity of the Intelliseq company. We are focused on providing solutions based on the latest standards and recommendations. The list of already developed workflows extends 100, including pipelines, modules, and tasks. The number is continuously growing, thanks to our R&D activities. Below are the most important information about the analysis areas.
Created with GATK best practices and ACMG recommendations workflows for phenotype-based custom panels or fixed panels grouped in 22 areas:
ACMG Incidental Findings | Cancer Germline |
Cardiovascular disorders | Ciliopathies | COVID-19 research | Dermatological disorders | Dysmorphic and congenital abnormality syndromes | Endocrine disorders | Gastroenterological disorders | Growth disorders | Haematological and immunological disorders | Haematological disorders | Hearing and ear disorders | Metabolic disorders | Neurology and neurodevelopmental disorders | Ophthalmological disorders | Rare Diseases | Renal and urinary tract disorders | Respiratory disorders | Rheumatological disorders | Skeletal disorders | Tumour syndromes
Created with Clinical Pharmacogenetics Implementation Consortium (CPIC) recommendations workflows for organism response to 28 drugs:
Amitriptyline | Capecitabine | Desipramine | Imipramine | Ondansetron | Sertraline | Trimipramine | Atazanavir | Escitalopram | Doxepin | Ivacaftor | Paroxetine | Simvastatin | Tropisetron | Azathioprine | Clomipramine | Fluorouracil | Mercaptopurine | Phenytoin | Tacrolimus | Voriconazole | Codeine | Clopidogrel | Fluvoxamine | Nortriptyline | Ribavirin | Thioguanine | Warfarin
Ready to use traits implemented from The Polygenic Scores Catalog:
BMI | Coronary heart disease | Coronary artery disease | Breast cancer | ER-positive Breast Cancer | ER-negative Breast Cancer | Type 2 diabetes | Atrial fibrillation | Inflammatory bowel disease | Type 1 diabetes | Alzheimer’s Disease
Type 2 diabetes (based on SNPs involved in ß-cell function) | Type 2 diabetes (based on SNPs involved in insulin resistance) | Severe COVID-19 with Respiratory Failure
Ready to use, custom developed, computational models for below listed polygenic scores:
Nutrition: Magnesium level | Lactose intolerance | BMI | Vitamin E level | Fasting glucose homeostasis | Vitamin B12 level | Vitamin D level | Caffeine sensitivity | Folate level | Vitamin B6 level | Cardio: Iron overload | Heart Attack | Heart rate increase in response to exercise | Circadian rhythms | Blood pressure | High - density lipoprotein cholesterol HDL | Low-density lipoprotein cholesterol LDL | Metabolic syndrome | Cancer: Breast cancer | Prostate Cancer | Lung Cancer | Melanoma | Other: Alzheimer | Depression | CRP Level | Alcohol-related life cirrhosis | Bone Density | Type 2 diabetes | Telomere length | Parkinson | Alcohol dependence
Intelliseq is a team of experienced scientist, geneticists, bioinformaticians, and software engineers. We have already solved many problems for our clients globally.
Let us help you with yours.