Best Scientific Data Management Systems (SDMS) - Page 7

RSpace

This new and improved ELN has been specifically designed for enterprise deployments at large academic institutions. Lab members are able to work from home or when traveling, in a secure, integrated collaborative environment. This electronic notebook allows you to create and import research data, while providing controlled sharing of any particular data between lab members.

Sapio Scientific Data Cloud (SDMS)

What makes Scientific Data Cloud software essential? The volume and variety of data in the lab has never been greater. But without a solution to unify, centralize, and standardize this data, scientists cannot realize its full potential. Sapio Scientific Data Cloud brings together critical instrument and application data, making it accessible to scientists in a standardized format. In turn, scientists can gain the context and searchability they need to maximize the value of their scientific data. Go to the Sapio Scientific Data Cloud website to learn more about Sapio Scientific Data Cloud, including: - Granular, no-code searchability - Integrated knowledge graph to browse LIMS, ELN, and instrument data - Data visualization and interactive renderings for richer analysis And more…

Savante

SEND Savante, is a comprehensive solution for data aggregation, query, analysis, and reporting of pre-clinical drug discovery and drug development data. Integrated with the industry-standard Pristima pre-clinical software suite, it allows organizations to build a consolidated data warehouse containing study data coalesced from multiple sources, based on CDISC-SEND standards.

ScienceDesk

ScienceDesk is an innovative platform for collaborative work on research data: documentation, data analysis and data management.

Scigilian Analyze

ANALYZE – Assay Data Analysis Software Reduce raw biological assay observations into comparable endpoints using your organization’s best-practice rules and calculations with built-in quality control and monitoring.

SCiLS Lab

SinuLab

skygenic

Skygenic delivers independent mechanism defense audits for drug repurposing programs, biotech Series B due diligence, and NIH grant defense. Each audit evaluates biological mechanism strength, causal driver classification, cross-dataset reproducibility, contradiction detection, and evidence gap mapping — cross-referenced against thousands of datasets through the Scientific Reasoning Layer. Delivered as a structured report per engagement. No subscription required.

Snthesis Bio

Power your AI transformation by integrating Excel, CRO, ELN and Public data into one harmonized dataset. Snthesis Bio® can automatically ingest, consolidate and harmonize structured or unstructured research data from disparate sources, systems and formats. We also offer Data Strategy and Data Management Consulting to help you streamline your data processes. Leverage the cleaned data in our UI or export to downstream analysis tools. Contact Snthesis today at info@snthesis.com for a proposal or brief demo.

SoonLab

StrandOmics

#1 StrandOmics is a clinical genomics interpretation and reporting platform from Strand Life Sciences. #2StrandOmics’s variant interpretation platform is robust which combines bioinformatics algorithms, public data from external sources/knowledge databases, visualization interfaces, and reporting capabilities. #3 StrandOmics has a semi-automated reporting format, starting with VCF files and also has a curation on the fly portal, which enables rapid curation on new variants. It is comprehensive and accepts all variant types. #4It is comprehensive and accepts all variant types including reporting on variants in pseudogenes such as PMS2, CYP21A2

Superluminal Medicines

Superluminal Medicines is a Boston-based generative biology and chemistry company dedicated to transforming drug discovery and development. By integrating deep expertise in biology and chemistry with advanced machine learning and proprietary big data infrastructure, the company accelerates the creation of candidate-ready compounds. Its predict-design-test architecture accurately models protein structures and designs highly selective compounds to induce precise structural changes for therapeutic effects. The discovery engine is further enhanced by an industry-leading in silico pharmacokinetic and toxicology prediction capability. Superluminal's proprietary pipeline focuses on high-value G protein-coupled receptor (GPCR) targets, aiming to deliver innovative treatments with unprecedented speed and accuracy.

Testream/CS

Testream/CS is a PC-based lab automation/product quality information system. It consists of a number of software components available separately or as a fully integrated system.

VarSeq

VarSeq is an intuitive, integrated software solution for tertiary analysis. With VarSeq you can automate your workflows and analyze variants for gene panels, exomes, and whole genomes. Understanding genomic data has never been easier thanks to our software. VarSeq software provides a powerful filtering and annotation engine to sift through large variant data sets. Using a chain of filters, you can quickly narrow your list of variants down to those that are most likely to be of interest. After determining the parameters that work well for your analysis, you can save the state of your filters so that you can easily apply the same analysis to another dataset. The same automated workflow can be used for each batch of samples, making VarSeq an ideal solution for high-throughput environments. Real-time filtering gives you the power to quickly prototype and tune analysis workflows to the specific gene panels that your lab uses. Once the appropriate set of filters have been found, the workflow can be saved and applied to future sequencing outputs without having to re-enter any parameters. After data import, annotations are automatically applied based upon your pre-configured settings. Additional annotations can then be added at any time during the analysis process. The Golden Helix team curates a wide selection of public databases and updates these datasets on a quarterly basis. The specific annotations used in your analysis are stored locally with your data and are never changed without your explicit request. This ensures that your analysis is performed on a stable dataset and your results are reproducible and available in the future. VarSeq provides coverage metrics in two forms. First, each variant displays data about the region in which it resides. This binding allows variants from suspect regions to be flagged or filtered out, which can help to prevent false positives. Second, each region in the BED file can be examined. This mode of analysis ensures that all the targeted regions were sequenced, which is crucial to preventing false negatives. Included in VarSeq is functionality similar to SnpEff or Variant Effect Predictor. Each variant is mapped to all overlapping transcripts and information about the region where it is located (exon, intron, intergenic, etc.), sequence ontology (frameshift, synonymous, etc.), and HGVS notation (g dot, c dot, and p dot) is provided. You can choose to filter against the highest-impact annotation for each variant or the entire set of variant-transcript interactions. Since GenomeBrowse is built into VarSeq, it is easy to verify coverage across your amplicons. Simply add your BAM and BED files to your project and inspect the pileups directly. GenomeBrowse provides the context you need to have confidence that your upstream sequencing pipeline is working correctly. Import your data, select a workflow and start exploring. It is that simple! No uploading data. No complicated parameter selection. No difficult file conversions. VarSeq distills the analysis process down to its very essence and removes all roadblocks that get in the way of getting work done.

WinWedge

Scientific Data Management System is a data collection software for serial devices, including meters, balances, scales or any RS232 instrument. WinWedge captures data directly to Excel, Access or any Windows application or web page.