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This site provides access to the research outputs of the Sarah Lawrence College. Users may set up RSS feeds to be alerted to new content. The interface is available in English.

ModBase (https://salilab.org/modbase) is a database of annotated comparative protein structure models. The models are calculated by ModPipe, an automated modeling pipeline that relies primarily on Modeller for fold assignment, sequence-structure alignment, model building, and model assessment (https://salilab.org/modeller/). ModBase currently contains almost 30 million reliable models for domains in 4.7 million unique protein sequences. ModBase allows users to compute or update comparative models on demand, through an interface to the ModWeb modeling server (https://salilab.org/modweb).

The CESSDA Data Catalogue contains the metadata of all data in the holdings of CESSDA service providers. It is a one-stop-shop for search and discovery, enabling effective access to European research data for researchers. Details of over 40, 000 data collections are listed. These are harvested from fifteen different CESSDA Service Providers.

The Mitochondrial Disease Sequence Data Resource (MSeqDR) is a centralized genome and phenome bioinformatics resource built by the mitochondrial disease community to facilitate clinical diagnosis and research investigations of individual patient phenotypes, genomes, genes, and variants. It integrates community knowledge from expert‐curated databases with genomic and phenotype data shared by clinicians and researchers.

MDF streamlines and automates data sharing, discovery, access and analysis by: 1) enabling data publication, regardless of data size, type, and location; 2) automating metadata extraction from submitted data into MDF metadata records (i.e., JSON formatted documents following the MDF schema) using open-source materials-aware extraction pipelines and ingest pipelines; and 3) unifying search across many materials data sources, including both MDF and other repositories with potentially different vocabularies and schemas. Currently, MDF stores 60 TB of data from simulation and experiment, and also indexes hundreds of datasets contained in external repositories, with millions of individual MDF metadata records created from these datasets to aid fine-grained discovery.

The AgingResearchBiobank was officially announced in January 2019 with a mission to provide a state-of-the-art inventory system for the storage, maintenance and distribution of biospecimens and associated data from numerous NIA-funded longitudinal studies on aging and on clinical trials with the broader scientific community; foster compliance with NIH/NIA resources sharing policies; and, foster science advances to ultimately help extend the healthy, active years of life for the world’s fast-growing population of older adults. Starting on October 2023, the AgingResearchBiobank is also hosting and distributing imaging data available for some of our study collections.