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http://www.bioinformatics.nl/QualitySNPng/

Software for the detection and visualization of single nucleotide polymorphisms (SNPs) from next generation sequencing data that uses a haplotype-based strategy.

Proper citation: QualitySNPng (RRID:SCR_002479) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/pbsim/

Software that simulates PacBio reads by using either a model-based or sampling-based simulation.

Proper citation: PBSIM (RRID:SCR_002512) Copy   

•   Source: SciCrunch Registry

http://www.fda.gov/ScienceResearch/BioinformaticsTools/MicroarrayQualityControlProject/default.htm

Project to improve the microarray and next-generation sequencing technologies and foster their proper applications in discovery, development and review of FDA regulated products by developing standards and quality measures. Microarrays and next-generation sequencing represent core technologies in pharmacogenomics and toxicogenomics; however, before these technologies can successfully and reliably be used in clinical practice and regulatory decision-making, standards and quality measures need to be developed. Everyone is invited to participate in the MAQC project.

Proper citation: MAQC (RRID:SCR_002351) Copy   

•   Source: SciCrunch Registry

http://burgundy.cmmt.ubc.ca/cgi-bin/RAVEN/a?rm=home

Tool to search for putative regulatory genetic variation in your favorite gene. Single nucleotide polymorphisms (SNPs) (from dbSNP and user defined) are analyzed for overlap with potential transcription factor binding sites (TFBS) and phylogenetic footprinting using UCSC phastCons scores from multiple alignments of 8 vertebrate genomes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: RAVEN (RRID:SCR_001937) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/2.8/bioc/html/qrqc.html

Software R package to quickly scan reads and gather statistics on base and quality frequencies, read length, k-mers by position, and frequent sequences. Produces graphical output of statistics for use in quality control pipelines, and an optional HTML quality report. S4 SequenceSummary objects allow specific tests and functionality to be written around the data collected.

Proper citation: qrqc (RRID:SCR_006867) Copy   

•   Source: SciCrunch Registry

http://snpeffect.vib.be/

A database for phenotyping human single nucleotide polymorphisms (SNPs)that primarily focuses on the molecular characterization and annotation of disease and polymorphism variants in the human proteome. They provide a detailed variant analysis using their tools such as: * TANGO to predict aggregation prone regions * WALTZ to predict amylogenic regions * LIMBO to predict hsp70 chaperone binding sites * FoldX to analyse the effect on structure stability Further, SNPeffect holds per-variant annotations on functional sites, structural features and post-translational modification. The meta-analysis tool enables scientists to carry out a large scale mining of SNPeffect data and visualize the results in a graph. It is now possible to submit custom single protein variants for a detailed phenotypic analysis., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: SNPeffect (RRID:SCR_005091) Copy   

•   Source: SciCrunch Registry

http://jilab.biostat.jhsph.edu/database/cgi-bin/hmChIP.pl

A database of genome-wide chromatin immunoprecipitation (ChIP) data in human and mouse. Currently, the database contains >2000 samples from >500 ChIP-seq and ChIP-chip experiments, representing a total of >170 proteins and >10,000,000 protein-DNA interactions (March 2014). A web server provides an interface for database query. Protein-DNA binding intensities can be retrieved from individual samples for user-provided genomic regions. The retrieved intensities can be used to cluster samples and genomic regions to facilitate exploration of combinatorial patterns, cell type dependencies, and cross-sample variability of protein-DNA interactions.

Proper citation: hmChIP (RRID:SCR_005407) Copy   

•   Source: SciCrunch Registry

http://amp.pharm.mssm.edu/lib/chea.jsp

Data analysis service for gene-list enrichment analysis against a manual database. It allows users to input lists of mammalian gene symbols for which the program computes over-representation of transcription factor targets from the ChIP-X database. The database integrates interaction data from ChIP-chip, ChIP-seq, ChIP-PET and DamID studies and contains 189,933 interactions, manually extracted from 87 publications, describing the binding of 92 transcription factors to 31,932 target genes.

Proper citation: ChEA (RRID:SCR_005403) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/hadoop-bam/

A Java library for the manipulation of files in common bioinformatics formats using the Hadoop MapReduce framework with the Picard SAM JDK, and command line tools similar to SAMtools. The file formats currently supported are BAM, SAM, FASTQ, FASTA, QSEQ, BCF, and VCF.

Proper citation: Hadoop-BAM (RRID:SCR_005516) Copy   

•   Source: SciCrunch Registry

http://sb.cs.cmu.edu/seecer/

Algorithm for sequencing error correction of RNA-seq data sets. SEECER removes mismatch and indel errors from the raw reads and improves downstream analysis of the data.

Proper citation: SEECER (RRID:SCR_005274) Copy   

•   Source: SciCrunch Registry

http://htseq.readthedocs.io/en/release_0.9.1/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software Python package that provides infrastructure to process data from high-throughput sequencing assays. While the main purpose of HTSeq is to allow you to write your own analysis scripts, customized to your needs, there are also a couple of stand-alone scripts for common tasks that can be used without any Python knowledge.

Proper citation: HTSeq (RRID:SCR_005514) Copy   

•   Source: SciCrunch Registry

http://www.gene-talk.de

A web-based tool, knowledgebase and community for analysis and interpretation of human variant files. VCFs (Variant Call Formats) are preprocessed and annotated, you can filter them, access all databases and provide your expertise to the community by creating annotations.

Proper citation: GeneTalk (RRID:SCR_005231) Copy   

•   Source: SciCrunch Registry

https://omictools.com/tiltpicker-tool

Software tool to facilitate particle selection in single particle electron microscopy. An interactive graphical interface application designed to streamline the selection of particle pairs from tilted-pair datasets. Designed to work with existing software tools for image processing.

Proper citation: TiltPicker (RRID:SCR_016674) Copy   

•   Source: SciCrunch Registry

https://chlorobox.mpimp-golm.mpg.de/geseq.html

Software tool for rapid and accurate annotation of organelle genomes, in particular chloroplast genomes.

Proper citation: GeSeq (RRID:SCR_017336) Copy   

•   Source: SciCrunch Registry

https://github.com/wdecoster/nanofilt

Software tool written in Python to perform its filtering based on mean read quality and GC content and read length. Used for filtering and trimming of long read sequencing data.

Proper citation: NanoFilt (RRID:SCR_016966) Copy   

•   Source: SciCrunch Registry

https://github.com/mandricigor/ScaffMatch

Software tool as scaffolding algorithm based on maximum weight matching able to produce high quality scaffolds from next generation sequencing data (reads and contigs). Able to handle reads with both short and long insert sizes.

Proper citation: ScaffMatch (RRID:SCR_017025) Copy   

•   Source: SciCrunch Registry

https://github.com/isovic/racon

Software tool as de novo genome assembly from long uncorrected reads. Used to correct raw contigs generated by rapid assembly methods which do not include consensus step. Supports data produced by Pacific Biosciences and Oxford Nanopore Technologies.

Proper citation: Racon (RRID:SCR_017642) Copy   

•   Source: SciCrunch Registry

https://github.com/TransDecoder/TransDecoder

Software tool to identify candidate coding regions within transcript sequences, such as those generated by de novo RNA-Seq transcript assembly using Trinity, or constructed based on RNA-Seq alignments to genome using Tophat and Cufflinks.Starts from FASTA or GFF file. Can scan and retain open reading frames (ORFs) for homology to known proteins by using BlastP or Pfam search and incorporate results into obtained selection. Predictions can then be visualized by using genome browser such as IGV.

Proper citation: TransDecoder (RRID:SCR_017647) Copy   

•   Source: SciCrunch Registry

https://www.sanger.ac.uk/science/tools/reapr

Software tool to identify errors in genome assemblies without need for reference sequence. Can be used in any stage of assembly pipeline to automatically break incorrect scaffolds and flag other errors in assembly for manual inspection. Reports mis-assemblies and other warnings, and produces new broken assembly based on error calls.

Proper citation: Recognition of Errors in Assemblies using Paired Reads (RRID:SCR_017625) Copy   

•   Source: SciCrunch Registry

http://www.scrm.uzh.ch/biobank.html

The SCRM-CTBB offers state-of-the-art infrastructure and technologies (e.g. cryogenic work bench, semiautomatic cryogenic storage system, uninterrupted cooling chain) and is structured into two areas, including research and a GMP/GCP regulated therapeutic applications. Research: For pre-clinical studies, the SCRM-CTBB provides researchers guidance regarding cell and tissue cryo-preservation, comprising registration, handling, storage and distribution. In order to ensure complete traceability on samples and belonging information all processes are controlled by a Laboratory Information Management System (LIMS) and Quality Assurance (QA) system. The SCRM Biobank is designed to create database that allows connection with other biobanks nationally and internationally. This meta-data file will enable a unique scientific resource for interdisciplinary research. For every new study a contract is established describing the study and the disposition rights. Assistance in writing Biobank Agreements (BAs) and Material Transfer Agreements (MTAs) is provided. Therapeutical applications: As a new feature, apart from research, the SCRM Biobank enables the asservation and preservation of cells and tissues under GMP conditions for later therapeutic use. A special focus will be on a conceptional combination of private and public umbilical cord blood banking (hybrid banking), which allows autologous and/or allogeneic cell applications.

Proper citation: University of Zurich SCRM - Cell-and Tissue Biobank (RRID:SCR_004959) Copy   

•   Source: SciCrunch Registry