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https://github.com/common-workflow-language/cwltool

Reference implementation of the Common Workflow Language standards. It provides complete features and tools and comprehensive validation of CWL. The reference implementation consists of two packages. The cwltool package is the primary Python module containing the reference implementation in the cwltool module and console executable by the same name. The cwlref-runner package is optional and provides an additional entry point under the alias cwl-runner, which is the implementation-agnostic name for the default CWL interpreter installed on a host.

Proper citation: cwltool (RRID:SCR_015528) Copy   

•   Source: SciCrunch Registry

https://github.com/keepersecond/Soma-Segmentation

Source code for a soma segmentation method suitable for datasets with touching soma distributions. The method contains three main parts: soma detection based on DT and local maximum searching and refining; an improved Rayburst sampling algorithm for isolated and touching soma surface detection; and ellipsoid fitting to generate the segmentation results.

Proper citation: Soma-Segmentation (RRID:SCR_015649) Copy   

•   Source: SciCrunch Registry

http://dsap.cgu.edu.tw/

A web server designed to provide a total solution to analyze small RNAs sequencing data generated by SOLEXA., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: DSAP (RRID:SCR_013352) Copy   

•   Source: SciCrunch Registry

http://www.lifelegacy.org

A non-profit tissue bank that facilitates the distribution of non-transplantable tissue to the medical and research community. It provides snap frozen low post mortem interval (PMI) tissue, normal and diseased tissue, plastinated specimens, anatomical specimens, and specialty specimens. The foundation also works to increase public awareness of research tissue donation for medical research.

Proper citation: LifeLegacy Foundation (RRID:SCR_000518) Copy   

•   Source: SciCrunch Registry

https://sift.bii.a-star.edu.sg/sift4g/AboutSIFT4G.html

Software tool to predict whether amino acid substitution affects protein function. Faster version of SIFT that enables to scale up and provide SIFT predictions for more organisms.

Proper citation: SIFT 4G (RRID:SCR_021850) Copy   

•   Source: SciCrunch Registry

http://www.detaibio.com/sms2/protein_gravy.html

Web protein hydrophilicity analysis tool.

Proper citation: protein hydrophilicity analysis tool (RRID:SCR_023015) Copy   

•   Source: SciCrunch Registry

https://docs.google.com/presentation/d/13KqqDOFLbhCPRsCqf4zETdcjhZECIXD_/edit#slide=id.p1

MJFF in partnership with Aligning Science Across Parkinson’s are in the process of establishing data platform, CRN Cloud, leveraging Verily Workbench to share data generated by researcher labs funded through ASAP Collaborative Research Network. The data types include mainly raw and processed single cell RNA-seq, single nucleus RNA-seq, and bulk RNA-seq from both PD and healthy control samples.

Proper citation: Collaborative Research Network Cloud (RRID:SCR_023923) Copy   

•   Source: SciCrunch Registry

https://git.integromics.fr/published/predomics

Software package for metagenomics data. Discovers accurate predictive signatures and provides unprecedented interpretability. Package contains three methods for suppervised learning based on ternary coefficients. Used to discover classification models for quantitative metagenomics data.

Proper citation: Predomics (RRID:SCR_017415) Copy   

•   Source: SciCrunch Registry

http://lgsun.grc.nia.nih.gov/cDNA/cDNA.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Project portal housing NIA Mouse EST Project, NIA Mouse cDNA Clone Sets, a NIA Mouse Gene Index, NIA Mouse cDNA Database, and NIA Mouse Microarrays. Characteristics of NIA 15K Mouse cDNA Clone Set * ~15,000 unique cDNA clones were rearrayed among 52,374 ESTs from pre- and periimplantation embryos, E12.5 female gonad/mesonephros, and newborn ovary. * Up to 50% are derived from novel genes. * ~1.5 kb average insert size. * Clones were sequenced from 5' and 3' termini to obtain longer reads and verify sequence. Sequence information is available at this Web Site. Clone names are from H3001A01 to H3159G07. * Handling of NIA 15k cDNA Clone Set(June3, 2000) Characteristics of NIA mouse 7.4K cDNA Clone Set * ~7407 cDNA clones with no redundancy within the set or with NIA Mouse 15K. * ~1.5 kb average insert size for short insert clones and ~2.5-3.0 kb average insert size for long-insert enriched clones.. * Clones were sequenced from 5' and 3' termini to obtain longer reads and verify sequence. Sequence information is available at this Web Site. Clone names are from H4001A01 to H4079G07. * Handling of NIA mouse 7.4k cDNA Clone Set (similar to handling of NIA mouse 15K, to be updated) Individual Clones are available from ATCC and MRC geneservice, UK. To obtain Clone, search the database using either the rearrayed clone name or GenBank accession number at the Key Word Search page. Follow the link to the sequence information page for the rearrayed clone to obtain source clone ATCC number. Clicking the ATCC number will bring up the ATCC ordering page for the source clone. There is essentially no overlap between the two clone sets (7.4K and 15K) said Minoru S.H. Ko, M.D., Ph.D., head of the Developmental Genomics and Aging Section in the NIA's Laboratory of Genetics. In addition, all cDNA clones in the NIA 7.4K set were purified by single colony isolation and sequence-verified, and more than half were prepared by a new procedure that yields long full-length cDNAs (average size 3-4 kb). The NIA Mouse 15k and 7.4k Clone Set Data and Published Microarray Data are available for download. NIA Mouse Microarrays *Microarray Data Download * 60-mer Oligo Array Platform ** (A) NIA 22k Oligo Microarray Gene List (21939 gene features) ( Carter et al 2003 ) ** (B) Agilent Mouse Development Oligo Microarray Gene List ** ( Subset of Microarray (A): 20,280 gene features ) * Data Analysis Tools

Proper citation: NIA Mouse cDNA Project Home Page (RRID:SCR_001472) Copy   

•   Source: SciCrunch Registry

http://www.cancer.med.umich.edu/breast_cell/Production/index.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 1, 2023. Asterand, Inc., the Detroit-based supplier of human tissue products and services, announces the distribution of eleven breast cancer cell lines, derived at the University of Michigan. The University has agreed to license the marketing of the breast cancer cell lines, known as the SUM lines, through Asterand in an effort to provide an exceptional tool to a broad base of researchers studying the disease. There are an estimated 1.2 million new diagnoses worldwide of breast cancer each year. The cell lines can be used to study all aspects of breast cancer biology, from new drug target identification to cell signaling to effects of novel drugs on cellular proliferation.

Proper citation: University of Michigan Human Breast Cancer Cell Lines (RRID:SCR_000542) Copy   

•   Source: SciCrunch Registry

http://viewer.shigen.info/cgi-bin/crispr/crispr.cgi

Web tool to show micro homology sequences striding over double strand break point created by CRISPR/Cas9 system. Used to search for CRISPR target site with micro-homology sequences. Used to predict deletion pattern.

Proper citation: NBRP Medaka CRISPR target site (RRID:SCR_018159) Copy   

•   Source: SciCrunch Registry

http://www.mhasweb.org/

A dataset of a prospective panel study of health and aging in Mexico. The study was designed to ensure comparability with the U.S. Health and Retirement Study in many domains, and the NHANES III. The baseline survey in 2001 is nationally representative of the 13 million Mexicans born prior to 1951. The six Mexican states which are home to 40% of all migrants to the U.S. were over-sampled at a rate of 1.7:1. Spouse/partners of eligible respondents were interviewed also, even if the spouse was born after 1950. Completed interviews were obtained in 9,862 households, for a total of 15,186 individual interviews. All interviews were face-to-face, with average duration of 82 minutes. A direct interview (on the Basic questionnaire) was sought, and Proxy interviews were obtained when poor health or temporary absence precluded a direct interview. Questionnaire topics included the following: * HEALTH MEASURES: self-reports of conditions, symptoms, functional status, hygienic behaviors (e.g., smoking & drinking history), use/source/costs of health care services, depression, pain, reading and cognitive performance; * BACKGROUND: Childhood health and living conditions, education, ability to read/write and count, migration history, marital history; * FAMILY: rosters of all children (including deceased children); for each, demographic attributes, summary indicators of childhood and current health, education, current work status, migration. Parent and sibling migration experiences; * TRANSFERS: financial and time help given to and received by respondent from children, indexed to specific child; time and financial help to parent; * ECONOMIC: sources and amounts of income, including wages, pensions, and government subsidies; type and value of assets. All amount variables are bracketed in case of non-response. * HOUSING ENVIRONMENT: type, location, building materials, other indicators of quality, and ownership of consumer durables; * ANTHROPOMETRIC: for a 20% sub-sample, measured weight, height; waist, hip, and calf circumference; knee height, and timed one-leg stands. Current plans are to conduct another two follow-up surveys in 2012 and 2014 and will field the 3rd and 4th waves of survey data collection in Mexico. For the 2012 wave, interviews will be sought for: every person who was part of the panel in 2003 and their new spouse / partner, if applicable, and a new sample of persons born between 1952 and 1962. For the 2014 wave, we will follow-up the whole sample from 2012. Interviews will be conducted person-to-person. Direct interviews will be sought with all informants, but proxy interviews are allowed for those unable to complete their own interview for health or cognitive reasons. A next-of-kin interview will be completed with a knowledgeable respondent for those who were part of the panel but have died since the last interview. A sub-sample will be selected to obtain objective markers such as blood sample and anthropometric measures. Data Availability: The 2001 baseline data, 2003 follow-up data, and documentation can be downloaded. * Dates of Study: 2001-2003 * Study Features: Longitudinal, International, Anthropometric Measures * Sample Size: 2001: 15,186 (Baseline) Link: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00142

Proper citation: Mexican Health and Aging Study (RRID:SCR_000818) Copy   

•   Source: SciCrunch Registry

http://t2diacod.igib.res.in/

Gene atlas of Type 2 Diabetes Mellitus associated complex disorders. Provides curated and integrated information about genes involved in development and progression of Type 2 Diabetes Mellitus, genes and pathways with evidence for role in diabetes under risk factors including obesity, diet, inflammation, stress and complex disorders that are associated with Type 2 Diabetes Mellitus including atherosclerosis, diabetic retinopathy, diabetic nephropathy, diabetic neuropathy, cardiovascular disease.

Proper citation: T2DiACoD (RRID:SCR_019092) Copy   

•   Source: SciCrunch Registry

https://www.fastgenomics.org/

Open online platform for single cell RNA-seq. Provides data management and analytics. Used to analyze public and private datasets and you can choose between several best practices workflows and browse existing analyses.

Proper citation: FASTGenomics (RRID:SCR_022898) Copy   

•   Source: SciCrunch Registry

https://www.estimationstats.com/#/

Web application for data analysis and visualizing effect sizes. Data analysis with estimation graphics.

Proper citation: Estimation Stats (RRID:SCR_018321) Copy   

•   Source: SciCrunch Registry

http://www.biocytex.com/

A French biotech company that specializes in the development of standardized flow cytometry kits in the field of haemostasis. It became part of the Stago group in 1994.

Proper citation: BioCytex (RRID:SCR_001135) Copy   

•   Source: SciCrunch Registry

https://hcup-us.ahrq.gov/nisoverview.jsp

Family of healthcare databases and related software tools and products developed through Federal-State-Industry partnership. Databases bring together data collection of State data organizations, hospital associations, private data organizations, and Federal government to create national information resource of encounter-level healthcare data. HCUP includes largest collection of longitudinal hospital care data in the United States, with all-payer, encounter-level information beginning in 1988. These databases enable research on broad range of health policy issues, including cost and quality of health services, medical practice patterns, access to healthcare programs, and outcomes of treatments at the national, State, and local market levels.

Proper citation: Healthcare Cost and Utilization Project (RRID:SCR_024410) Copy   

•   Source: SciCrunch Registry

https://www.origene.com/

Commercial supplier of biomaterials such as antibodies, antigens, lysates, and various assay kits.

Proper citation: Acris Antibodies (RRID:SCR_001095) Copy   

•   Source: SciCrunch Registry

http://s-quest.bihealth.org/fiddle/

Software interactive tool to help researchers to identify most appropriate publication format for their dataset that may be hard to publish in traditional journals. Formats include data repositories, micropublications, preprints, data journals, publishing platforms and journals that are open to null results. Users can search for publication format that meets their needs, compare and contrast formats, and find links to publishers. Open source tool to combat publication bias by getting research out of file drawer and into scientific community.

Proper citation: fiddle (RRID:SCR_017327) Copy   

•   Source: SciCrunch Registry

http://www.mrmatlas.org/

Resource of targeted proteomics assays to detect and quantify proteins in complex proteome digests by mass spectrometry. Used to quantify the complete human proteome.

Proper citation: SRMAtlas (RRID:SCR_016996) Copy   

•   Source: SciCrunch Registry