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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
Software providing a data analysis pipeline for shotgun mass-spectrometry proteomics.
Proper citation: CPFP (RRID:SCR_012043) Copy
https://github.com/macs3-project/MACS
Software Python package for identifying transcript factor binding sites. Used to evaluate significance of enriched ChIP regions. Improves spatial resolution of binding sites through combining information of both sequencing tag position and orientation. Can be used for ChIP-Seq data alone, or with control sample with increase of specificity.
Proper citation: MACS (RRID:SCR_013291) Copy
Detailed multidimensional digital multimodal atlas of C57BL/6J mouse nervous system with data and informatics pipeline that can automatically register, annotate, and visualize large scale neuroanatomical and connectivity data produced in histology, neuronal tract tracing, MR imaging, and genetic labeling. MAP2.0 interoperates with commonly used publicly available databases to bring together brain architecture, gene expression, and imaging information into single, simple interface.Resource to visualise mouse development, identify anatomical structures, determine developmental stage, and investigate gene expression in mouse embryo. eMouseAtlas portal page allows access to EMA Anatomy Atlas of Mouse Development and EMAGE database of gene expression.EMAGE is freely available, curated database of gene expression patterns generated by in situ techniques in developing mouse embryo. EMA, e-Mouse Atlas, is 3-D anatomical atlas of mouse embryo development including histology and includes EMAP ontology of anatomical structure, provides information about shape, gross anatomy and detailed histological structure of mouse, and framework into which information about gene function can be mapped.
Proper citation: eMouseAtlas (RRID:SCR_002981) Copy
http://www.ncbi.nlm.nih.gov/Structure/VAST/vast.shtml
VAST is a computer algorithm developed at NCBI and used to identify similar protein 3-dimensional structures by purely geometric criteria, and to identify distant homologs that cannot be recognized by sequence comparison. Related structures for every structure in MMDB are pre-computed using VAST and accessible via links on the MMDB Structure Summary pages. The VAST Search page also allows you to compare the coordinates of a newly resolved structure in PDB format against all structures in MMDB to find its neighbors. Protein structure neighbors in Entrez are determined by direct comparison of 3-dimensional protein structures with the VAST algorithm. Each of the more than 87,804 domains in MMDB is compared to every other one. From the MMDB Structure summary pages, retrieved via Entrez, structure neighbors are available for protein chains and individual structural domains. If you already know a PDB/MMDB-Id you can try this at once, using the input form in the right column. VAST Search is a service that allows searching for structural neighbors starting with a set of 3D-coordinates specified by the user. This service is meant to be used with newly determined protein structures that are not yet part of MMDB. Structure neighbors for proteins already in MMDB have been pre-computed and can simply be looked up from MMDB''s Structure summary pages!
Proper citation: Vector Alignment Search Tool (RRID:SCR_010655) Copy
Software package that provides full solution to next generation sequencing data analysis consisting of an alignment tool (SOAPaligner/soap2), a re-sequencing consensus sequence builder (SOAPsnp), an indel finder ( SOAPindel ), a structural variation scanner ( SOAPsv ), a de novo short reads assembler ( SOAPdenovo ), and a GPU-accelerated alignment tool for aligning short reads with a reference sequence. (SOAP3/GPU)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: SOAP (RRID:SCR_000689) Copy
http://cran.r-project.org/web/packages/mlgt/index.html
Software for processing and analysis of high throughput (Roche 454) sequences generated from multiple loci and multiple biological samples. Sequences are assigned to their locus and sample of origin, aligned and trimmed. Where possible, genotypes are called and variants mapped to known alleles.
Proper citation: mlgt (RRID:SCR_001211) Copy
https://github.com/gt1/biobambam
Software tools for read pair collation based algorithms on BAM files including * bamcollate2: reads BAM and writes BAM reordered such that alignment or collated by query name * bammarkduplicates: reads BAM and writes BAM with duplicate alignments marked using the BAM flags field * bammaskflags: reads BAM and writes BAM while masking (removing) bits from the flags column * bamrecompress: reads BAM and writes BAM with a defined compression setting. This tool is capable of multi-threading. * bamsort: reads BAM and writes BAM resorted by coordinates or query name * bamtofastq: reads BAM and writes FastQ; output can be collated or uncollated by query name
Proper citation: biobambam (RRID:SCR_003308) Copy
https://github.com/najoshi/sickle
Software tool for windowed adaptive trimming for fastq files using quality. Supports quality values like Illumina, Solexa, and Sanger. Takes the quality values and slides a window across them whose length is 0.1 times the length of the read.
Proper citation: Sickle (RRID:SCR_006800) Copy
http://code.google.com/p/seqtrace/
A software application for viewing and processing DNA sequencing chromatograms (trace files) that makes it easy to quickly generate high-quality finished sequences from a large number of trace files. SeqTrace can automatically identify, align, and compute consensus sequences from matching forward and reverse traces, filter low-quality base calls, and perform end trimming of finished sequences. The finished DNA sequences can then be exported to common sequence file formats, such as FASTA. SeqTrace also includes a full-featured trace file viewer and editor. You can view your sequencing chromatograms at a variety of scales and zoom levels, simultaneously view matching forward and reverse traces, edit the called bases, and export individual DNA sequences as well as forward/reverse alignments. SeqTrace supports popular trace file formats, including ABIF, SCF, and ZTR.
Proper citation: SeqTrace (RRID:SCR_005580) Copy
http://www.usadellab.org/cms/index.php?page=trimmomatic
Software Java pipeline for trimming tasks for Illumina paired end and single ended data. Flexible Trimmer for Illumina Sequence Data. Pair aware preprocessing tool optimized for Illumina next generation sequencing data. Includes several processing steps for read trimming and filtering. Operating systems Unix/Linux, Mac OS, Windows.
Proper citation: Trimmomatic (RRID:SCR_011848) Copy
Data processing software that performs X-ray diffraction data processing. It handles multi-pass, multi-wavelength data sets and supports remote access to synchrotron facilities.
Proper citation: xia2 pipeline (RRID:SCR_015746) Copy
https://urgi.versailles.inra.fr/Tools/PASTEClassifier
Software tool for automatic transposable element classification. Used for searching for structural features and similarity to classify transposable elements.
Proper citation: PASTEClassifier (RRID:SCR_017645) Copy
https://github.com/fritzsedlazeck/Sniffles
Software tool as structural variation caller using third generation sequencing (PacBio or Oxford Nanopore). It detects all types of SVs (10bp+) using evidence from split-read alignments, high-mismatch regions, and coverage analysis. Used to avoid single molecule long read sequencing high error rates.
Proper citation: Sniffles (RRID:SCR_017619) Copy
https://github.com/BGI-Qingdao/TGS-GapCloser
Software tool that uses long reads to enhance genome assembly. Fast and accurate gap closing software tool that uses low coverage of error-prone long reads generated by third generation sequence techniques (Pacbio, Oxford Nanopore, etc.) or preassembled contigs for large genomes.
Proper citation: TGS-GapCloser (RRID:SCR_017633) Copy
http://cab.spbu.ru/software/rnaquast/
Software tool for evaluating RNA-Seq assembly quality and benchmarking transcriptome assemblers using reference genome and gene database. Capable to estimate gene database coverage by raw reads and de novo quality assessment using third party software.
Proper citation: rnaQUAST (RRID:SCR_016994) Copy
https://github.com/AnacletoLAB/parSMURF
Open source software package as high performance computing imbalance aware machine learning tool for genome wide detection of pathogenic variants.
Proper citation: parSMURF (RRID:SCR_017560) Copy
https://github.com/voutcn/megahit
Software tool as Next Generation Sequencing assembler. Optimized for metagenomes, but also works well on generic single genome assembly (small or mammalian size) and single cell assembly. Can assemble genome sequences from metagenomic datasets of hundreds of Giga base-pairs in time and memory efficient manner on single server.
Proper citation: MEGAHIT (RRID:SCR_018551) Copy
https://github.com/nch-igm/rna-stability
Software tool as parallel processing framework for large scale generation of secondary RNA structures and folding statistics for transcriptome of any species.
Proper citation: rna-stability (RRID:SCR_019259) Copy
https://github.com/brentp/mosdepth
Software command line tool for rapidly calculating genome wide sequencing coverage. Measures depth from BAM or CRAM files at either each nucleotide position in genome or for sets of genomic regions. Used for fast BAM/CRAM depth calculation for WGS, exome, or targeted sequencing quick coverage calculation for genomes and exomes.
Proper citation: mosdepth (RRID:SCR_018929) Copy
https://github.com/hms-dbmi/EHRtemporalVariability
Software R package for delineating temporal dataset shifts in electronic health records. Functions to delineate temporal dataset shifts in electronic health records through projection and visualization of dissimilarities among data temporal batches.Enables exploration and identification of dataset shifts, contributing to broadly examine and repurpose large, longitudinal datasets. Used to help ensure reliable data reuse to biomedical data users.
Proper citation: EHRtemporalVariability (RRID:SCR_018663) Copy
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