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http://bibiserv.techfak.uni-bielefeld.de/genefisher2/

A web-based program for designing degenerate primers. The procedure leads to isolation of genes in a target organism using multiple alignments of related genes from different organisms. The term gene fishing refers to the technique where PCR is used to isolate a postulated but unknown target sequence from a pool of DNA.

Proper citation: GeneFisher (RRID:SCR_003060) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov/tools/epcr/

Web tool that identifies sequence tagged sites (STSs) within DNA sequences. Using e-PCR, you can search for sub-sequences that closely match the PCR primers and have the correct order, orientation, and spacing. The software may also be downloaded to run locally.

Proper citation: e-PCR (RRID:SCR_003082) Copy   

•   Source: SciCrunch Registry

https://netbio.bgu.ac.il/labwebsite/software/responsenet/

WebServer that identifies high-probability signaling and regulatory paths that connect input data sets. The input includes two weighted lists of condition-related proteins and genes, such as a set of disease-associated proteins and a set of differentially expressed disease genes, and a molecular interaction network (i.e., interactome). The output is a sparse, high-probability interactome sub-network connecting the two sets that is biased toward signaling pathways. This sub-network exposes additional proteins that are potentially involved in the studied condition and their likely modes of action. Computationally, it is formulated as a minimum-cost flow optimization problem that is solved using linear programming.

Proper citation: ResponseNet (RRID:SCR_003176) Copy   

•   Source: SciCrunch Registry

http://www.ihop-net.org/UniPub/iHOP/

Information system that provides a network of concurring genes and proteins extends through the scientific literature touching on phenotypes, pathologies and gene function. It provides this network as a natural way of accessing millions of PubMed abstracts. By using genes and proteins as hyperlinks between sentences and abstracts, the information in PubMed can be converted into one navigable resource, bringing all advantages of the internet to scientific literature research. Moreover, this literature network can be superimposed on experimental interaction data (e.g., yeast-two hybrid data from Drosophila melanogaster and Caenorhabditis elegans) to make possible a simultaneous analysis of new and existing knowledge. The network contains half a million sentences and 30,000 different genes from humans, mice, D. melanogaster, C. elegans, zebrafish, Arabidopsis thaliana, yeast and Escherichia coli.

Proper citation: Information Hyperlinked Over Proteins (RRID:SCR_004829) Copy   

•   Source: SciCrunch Registry

http://pilgrm.princeton.edu

PILGRM (the platform for interactive learning by genomics results mining) puts advanced supervised analysis techniques applied to enormous gene expression compendia into the hands of bench biologists. This flexible system empowers its users to answer diverse biological questions that are often outside of the scope of common databases in a data-driven manner. This capability allows domain experts to quickly and easily generate hypotheses about biological processes, tissues or diseases of interest. Specifically PILGRM helps biologists generate these hypotheses by analyzing the expression levels of known relevant genes in large compendia of microarray data. PILGRM is for the biologist with a set of proteins relevant to a disease, biological function or tissue of interest who wants to find additional players in that process. It uses a data driven method that provides added value for literature search results by mining compendia of publicly available gene expression datasets using lists of relevant and irrelevant genes (standards). PILGRM produces publication quality PDFs usable as supplementary material to describe the computational approach, standards and datasets. Each PILGRM analysis starts with an important biological question (e.g. What genes are relevant for breast cancer but not mammary tissue in general?). For PILGRM to discover relevant genes, it needs examples of both genes that you would (positive) and would not (negative) find interesting. Lists of these genes are what we call standards and in PILGRM you can build your own standards or you can use standards from common sources that we pre-load for your convenience. PILGRM lets you build your own literature-documented standards so that processes, disease, and tissues that are not well covered in databases of tissue expression, disease, or function can still be used for an analysis.

Proper citation: PILGRM (RRID:SCR_004749) Copy   

•   Source: SciCrunch Registry

http://metagenomics.anl.gov/

An automated analysis platform for metagenomes providing quantitative insights into microbial populations based on sequence data. The server primarily provides upload, quality control, automated annotation and analysis for prokaryotic metagenomic shotgun samples.

Proper citation: MG-RAST (RRID:SCR_004814) Copy   

•   Source: SciCrunch Registry

http://ilyinlab.org/StSNP/

A web server for mapping and modeling nsSNPs on protein structures with linkage to metabolic pathways.

Proper citation: StSNP (RRID:SCR_005417) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://www.splashground.de/~andy/programs/FFindex/

Database and index for huge amounts of small files. Files are stored concatenated in one big data file, with second file contains plain text index, giving name, offset and length of small files.

Proper citation: Ffindex (RRID:SCR_016110) 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://github.com/rrwick/Porechop

Software tool for finding and removing adapters from Oxford Nanopore reads.

Proper citation: Porechop (RRID:SCR_016967) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://ccb.jhu.edu/software/stringtie/gff.shtml

Open source software tool to manipulate files in GFF format. Used to convert, sort, filter, transform, or cluster genomic features.

Proper citation: gffread (RRID:SCR_018965) Copy   

•   Source: SciCrunch Registry

https://github.com/nanoporetech/pychopper

Software tool to identify, orient and trim full length Nanopore cDNA reads. Able to rescue fused reads.

Proper citation: Pychopper (RRID:SCR_018966) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry