ASCP (Aspera Secure Copy Protocol) is a fast, reliable protocol for transferring large files, particularly over long distances or in conditions with network latency or packet loss. It uses a technology called fasp (Fast, Adaptive, and Secure Protocol) to maximize available bandwidth, making transfers faster than traditional methods like FTP.
For uploading data to NCBI, ASCP is particularly useful because it efficiently handles large datasets, such as genomic sequences or omics data. Its ability to resume interrupted transfers ensures that if a connection fails during an upload, the transfer continues from where it left off, saving time and bandwidth. ASCP also provides strong encryption, ensuring data security during the upload process.

MGT®, the international ImMunoGeneTics information system®, is a comprehensive resource for immunogenetics and immunoinformatics. It was created and has been developed since 1989 by Professor Marie-Paule Lefranc at the Université de Montpellier, France. IMGT® is recognized as the global reference in immunogenetics and immunoinformatics due to its high-quality, integrated knowledge and its standardized nomenclature.

TCGAbiolinks is an R package that provides an easy-to-use interface to access and analyze data from The Cancer Genome Atlas (TCGA) project. It allows users to download TCGA data, perform quality control, differential expression analysis, and data visualization. TCGAbiolinks has contributed to a better understanding of the molecular basis of cancer and identified new potential biomarkers and therapeutic targets. Who sad this?

Learning the API from FlyBase is important for accessing and integrating fly genetic and genomic data. It provides programmatic access to a variety of data, such as gene sequences, expression patterns, and genetic variants, allowing researchers to easily extract and analyze large datasets. This can facilitate the discovery of new insights and hypotheses in biological research. Who sad this?

Learning KEGG API is important for accessing and integrating biological pathway data, enabling researchers to analyze and visualize complex biological systems, identify new potential drug targets, and explore the relationships between genes, proteins, and metabolic pathways. Who sad this?

Uniprot api for R