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http://younglab.wi.mit.edu/super_enhancer_code.html

To create stitched enhancers, and to separate super enhancers from typical enhancers using sequencing data given file of previously identified constituent enhancers .

Proper citation: ROSE (RRID:SCR_017390) Copy   

•   Source: SciCrunch Registry

https://github.com/cran/CopyNumber450kCancer

Software R package baseline correction for accurate copy number calling from 450k methylation array. Baseline correction for copy number data from cancer samples. Implements maximum density peak estimation (MDPE) method together with interactive reviewing to efficiently correct baseline in cancer samples.

Proper citation: CopyNumber450kCancer (RRID:SCR_017965) Copy   

•   Source: SciCrunch Registry

https://github.com/bjohnnyd/fs-tool

Software tool to calculate fraction of shared bound peptides between HLA proteins. Command-line tool to calculate fraction of shared bound peptides between HLA alleles from NetMHCpan binding predictions. Compares fraction shared between HLA allele and individual taking into account HLA and KIR genotypes.

Proper citation: fs-tool (RRID:SCR_018250) Copy   

•   Source: SciCrunch Registry

https://github.com/ncbi/SRPRISM/

Software tool as single read paired read indel substitution minimizer.

Proper citation: Single Read Paired Read Indel Substitution Minimizer (RRID:SCR_018023) Copy   

•   Source: SciCrunch Registry

https://broadinstitute.github.io/warp/docs/Pipelines/Single_Cell_ATAC_Seq_Pipeline/README

Pipeline developed in collaboration with Bing Ren lab and supports processing of BICCN single-cell/nucleus ATAC-seq datasets. Pipeline uses python module SnapTools to align and process paired reads in form of FASTQ files. Produces hdf5-structured Snap file that includes cell-by-bin count matrix. Final outputs also include GA4GH compliant aligned BAM and QC metrics.

Proper citation: scATAC Pipeline (RRID:SCR_018919) Copy   

•   Source: SciCrunch Registry

https://github.com/lufuhao/ATACseqMappingPipeline

Software tool as pipeline to map ATAC-seq data to large genome, for example, for wheat. It splits large genome files into parts and do mapping and then finally merge them.

Proper citation: ATACseqMappingPipeline (RRID:SCR_017558) Copy   

•   Source: SciCrunch Registry

http://oufti.org/

Software designed for analysis of microscopy data. It performs sub-pixel precision detection, quantification of cells and fluorescence signals, as well as other image analysis functions.

Proper citation: Oufti (RRID:SCR_016244) Copy   

•   Source: SciCrunch Registry

https://cryosparc.com/

Software integrated platform used for obtaining 3D structural information from single particle cryo-EM data. Enables automated, high quality and high-throughput structure discovery of proteins, viruses and molecular complexes for research and drug discovery.

Proper citation: cryoSPARC (RRID:SCR_016501) Copy   

•   Source: SciCrunch Registry

https://gitlab.com/KHanghoj/DamMet

Software tool as a full probabilistic model for mapping ancient methylomes using sequencing data underlying an ancient specimen.

Proper citation: DamMet (RRID:SCR_016959) Copy   

•   Source: SciCrunch Registry

http://www.jstacs.de/index.php/GeMoMa

Software tool as homology based gene prediction program that predicts gene models in target species based on gene models in evolutionary related reference species. Utilizes amino acid sequence conservation, intron position conservation, and RNA-seq data to accurately predict protein-coding transcripts. Supports combination of predictions based on several reference species allowing to transfer high quality annotation of different reference species to target species.

Proper citation: GeMoMa (RRID:SCR_017646) Copy   

•   Source: SciCrunch Registry

https://github.com/BioDepot/BioDepot-workflow-builder

Software tool to create and execute reproducible bioinformatics workflows using drag and drop interface. Graphical widgets represent Docker containers executing modular task. Widgets are linked graphically to build bioinformatics workflows that can be reproducibly deployed across different local and cloud platforms. Each widget contains form-based user interface to facilitate parameter entry and console to display intermediate results.

Proper citation: BioDepot-workflow-builder (RRID:SCR_017402) Copy   

•   Source: SciCrunch Registry

http://platform.cerebellum.neuroinf.jp/

THIS RESOURCE IS NO LONGER IN SERVICE, documented January 13, 2022. Digital research archive for cerebellar research including mini-reviews of contemporary cerebellar research, list of papers and mathematical models for cerebellar operation.

Proper citation: Cerebellar Platform (RRID:SCR_001700) Copy   

•   Source: SciCrunch Registry

http://meme-suite.org/tools/dreme

Software tool to discover short, ungapped motifs (recurring, fixed-length patterns) that are relatively enriched in sequences compared with shuffled sequences or control sequences (sample output from sequences).

Proper citation: DREME (RRID:SCR_016860) Copy   

•   Source: SciCrunch Registry

https://ascl.net/

Registry for source codes of interest to astronomers and astrophysicists, including solar system astronomers, and lists codes that have been used in research that has appeared in, or been submitted to, peer-reviewed publications. ASCL is indexed by SAO/NASA Astrophysics Data System (ADS) and Web of Science and is citable by using unique ascl ID assigned to each code. The ascl ID can be used to link to the code entry by prefacing the number with ascl.net .

Proper citation: Astrophysics Source Code Library (RRID:SCR_017604) Copy   

•   Source: SciCrunch Registry

http://viewtool.chenglab.com/

Web application viewer for large microscopy data.

Proper citation: ViewTool Cheng Lab (RRID:SCR_016430) Copy   

•   Source: SciCrunch Registry

http://starbase.sysu.edu.cn/index.php

Web based tool to visualize, analyze, discover and download of large-scale functional genomics data. Used for analysis of the CLIP-Seq and Degradome-Seq data sets, exploration of miRNA–target interactions and decoding RNA interaction networks from CLIP-Seq (HITS-CLIP, PAR-CLIP, iCLIP, CLASH) data. To show RNA-RNA and protein-RNA interaction networks in developmental, physiological and pathological processes.

Proper citation: Starbase V2.0 (RRID:SCR_016303) Copy   

•   Source: SciCrunch Registry

https://amp.pharm.mssm.edu/biojupies/

Software as an open source web server that automatically generates RNA-seq data analysis of jupyter notebooks. It allows creation and containment of documents that have live code, visualizations and narrative text.

Proper citation: BioJupies (RRID:SCR_016346) Copy   

•   Source: SciCrunch Registry

https://github.com/TGAC/RAMPART

Software for workflow management system for de novo genome assembly of DNA sequence data.Designed to exploit high performance computing environments, such as clusters and shared memory systems.

Proper citation: Rampart (RRID:SCR_016742) Copy   

•   Source: SciCrunch Registry

https://github.com/epistasislab/hibachi

Software tool that creates data sets with particular characteristics. Method and open source software for simulating complex biological and biomedical data to aid in comparing and evaluating machine learning methods.

Proper citation: Heuristic Identification of Biological Architectures for simulating Complex Hierarchical Interactions (RRID:SCR_017140) Copy   

•   Source: SciCrunch Registry

http://www.broad.mit.edu/mpr/lung

Data set of a molecular taxonomy of lung carcinoma, the leading cause of cancer death in the United States and worldwide. Using oligonucleotide microarrays, researchers analyzed mRNA expression levels corresponding to 12,600 transcript sequences in 186 lung tumor samples, including 139 adenocarcinomas resected from the lung. Hierarchical and probabilistic clustering of expression data defined distinct sub-classes of lung adenocarcinoma. Among these were tumors with high relative expression of neuroendocrine genes and of type II pneumocyte genes, respectively. Retrospective analysis revealed a less favorable outcome for the adenocarcinomas with neuroendocrine gene expression. The diagnostic potential of expression profiling is emphasized by its ability to discriminate primary lung adenocarcinomas from metastases of extra-pulmonary origin. These results suggest that integration of expression profile data with clinical parameters could aid in diagnosis of lung cancer patients.

Proper citation: Classification of Human Lung Carcinomas by mRNA Expression Profiling Reveals Distinct Adenocarcinoma Sub-classes (RRID:SCR_003010) Copy   

•   Source: SciCrunch Registry