amino
There are 72 repositories under amino topic.
Alanxyz/amino2md
Script para descargar blogs de Amino en formato Markdown.
ifct2017/abbreviations
Full forms of abbreviations used in the original book.
ifct2017/languages
Full form of language abbreviations.
ifct2017/nutrients
Detailed description of various nutrients, and its components.
Amino-NET-Group/Amino.NET.Interactions
The official interaction framework built on top of Amino.NET, the future of Amino Chatbots!
ifct2017/compositingcentres
Regional compositing centres and sample size of each region.
ifct2017/hierarchy
Tree-like hierarchy of nutrients, and its components.
ifct2017/intakes
Recommended daily intakes of nutrients.
ifct2017/regions
Categorization of the States/UTs into six different regions.
ifct2017/representations
Representations of columns (as factors and units).
nvif1989/activityclass
Classification of activities based on occupations.
nvif1989/caloriecoefficient
Relative calorie requirement of distinct demographics.
nvif1989/codes
Uniquely identifiable codes for each food.
nvif1989/columns
Codes and names of nutrients, and its components.
nvif1989/compositions
Detailed nutrient composition of 592 key foods in India.
nvif1989/contents
Contents in the original book.
nvif1989/descriptions
Names of each food in local languages, including scientific name.
nvif1989/groups
Categorization of food by their common names.
nvif1989/proteinvalue
Absorption and bioavailability of different protein sources.
Rufmemory/AminoPredict
Basic tool for amino acid / protein translation, yet it accepts both RNA and DNA as input and can predict their entire possible sequence. More refinement will be done soon, such as incorporating it all into classes, the reverse list prediction, stop and start codons.
ifct2017/about
On the history of malnutrition, current status, and data details.
ifct2017/carbohydrates
Conversion of carbohydrate weights to monosaccharide equivalents.
ifct2017/codes
Uniquely identifiable codes for each food.
ifct2017/columns
Codes and names of nutrients, and its components.
ifct2017/contents
Contents in the original book.
ifct2017/descriptions
Names of each food in local languages, including scientific name.
ifct2017/energies
Metabolizeable energy conversion factors.
ifct2017/frequencydistribution
Frequency distribution of States/UTs for fixing the number of districts to be sampled.
ifct2017/groups
Categorization of food by their common names.
ifct2017/jonesfactors
Jones factors for conversion of nitrogen to protein.
ifct2017/methods
Analytical methods of nutrient and bioactive components.
ifct2017/pictures
Single representative photo of each foods (JPEG, 307x173).
ifct2017/samplingunits
Number of primary sampling units (districts) in each State/UT.