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http://bioinformatics.biol.uoa.gr/PRED-TMBB/

A web tool, based on a Hidden Markov Model, capable of predicting the transmembrane beta-strands of the gram-negative bacteria outer membrane proteins, and of discriminating such proteins from water-soluble ones when screening large datasets. The model is trained in a discriminative manner, aiming at maximizing the probability of the correct prediction rather than the likelihood of the sequences. The training is performed on a non-redundant database consisting of 16 outer membrane proteins (OMP''s) with their structures known at atomic resolution. We show that we can achieve predictions at least as good comparing with other existing methods, using as input only the amino-acid sequence, without the need of evolutionary information included in multiple alignments. The method is also powerful when used for discrimination purposes, as it can discriminate with a high accuracy the outer membrane proteins from water soluble in large datasets, making it a quite reliable solution for screening entire genomes. This web-server can help you run a discriminating process on any amino-acid sequence and thereafter localize the transmembrane strands and find the topology of the loops.

Proper citation: PRED-TMBB (RRID:SCR_006190) Copy   

•   Source: SciCrunch Registry

http://bioapps.rit.albany.edu/MITOPRED/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. It predicts nuclear-encoded mitochondrial proteins from all eukaryotic species including plants. Prediction is based on the occurrence patterns of Pfam domains (version 16.0) in different cellular locations, amino acid composition and pI value differences between mitochondrial and non-mitochondrial locations. Additionally, you may download MITOPRED predictions for complete proteomes. Re-calculated predictions are instantly accessible for proteomes of Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila, Homo sapiens, Mus musculus and Arabidopsis species as well as all the eukaryotic sequences in the Swiss-Prot and TrEMBL databases. Queries, at different confidence levels, can be made through four distinct options: (i) entering Swiss-Prot/TrEMBL accession numbers; (ii) uploading a local file with such accession numbers; (iii) entering protein sequences; (iv) uploading a local file containing protein sequences in FASTA format. The Mitopred algorithm works based on the differences in the Pfam domain occurrence patters and amino acid composition differences in different cellular compartments. Location specific Pfam domains have been determined from the entire eukaryotic set of Swissprot database. Similarly, differences in the amino acid composition between mitochondrial and non-mitochondrial sequences were pre-calculated. This information is used to calculate location-specific amino acid weights that are used to calculate amino acid score. Similarly, pI average values of the N-terminal 25 residues in different cellular location were also determined. This knowledge-base is accessed by the program during execution.

Proper citation: mitopred (RRID:SCR_006135) Copy   

•   Source: SciCrunch Registry

http://www.bioinformatics.org/go2msig/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on April 24, 2020. Software tool as automated Gene Ontology based multi species gene set generator for gene set enrichment analysis. Used to generate gene sets required for Gene Set Enrichment Analysis for almost any organism for which GO term association data exists.
Gene set collections can be automatically created for wide variety of species.

Proper citation: GO2MSIG (RRID:SCR_018359) Copy   

•   Source: SciCrunch Registry

https://gemini.readthedocs.io/en/latest/

Framework for exploring genetic variation in the context of the genome annotations available for the human genome. Users can load a VCF file into a database and each variant is automatically annotated by comparing it to several genome annotations from source such as ENCODE tracks, UCSC tracks, OMIM, dbSNP, KEGG, and HPRD.

Proper citation: GEMINI (RRID:SCR_014819) Copy   

•   Source: SciCrunch Registry

https://github.com/steinmann/peakzilla

An algorithm to identify transcription factor binding sites from ChIP-seq data.

Proper citation: Peakzilla (RRID:SCR_007471) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/ampliconnoise/

A collection of programs for the removal of noise from 454 sequenced PCR amplicons. This project also includes the Perseus algorithm for chimera removal.

Proper citation: AmpliconNoise (RRID:SCR_007814) Copy   

•   Source: SciCrunch Registry

https://laniakea-elixir-it.github.io/

Software tool for automatic deployment of virtual Galaxy environments for life science. Can be deployed over common cloud architectures supported both by public and private e-infrastructures. User interacts with Laniakea based service through simple front end that allows general setup of Galaxy instance, then Laniakea takes care of automatic deployment of virtual hardware and software components. User gains access with full administrative privileges to private, production grade, fully customized, Galaxy virtual instance, and to underlying virtual machine.

Proper citation: Laniakea (RRID:SCR_018146) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/Tools/msa/kalign/

A fast and accurate multiple sequence alignment algorithm.

Proper citation: Kalign (RRID:SCR_011810) Copy   

•   Source: SciCrunch Registry

http://wishart.biology.ualberta.ca/cgview/

A Java package for generating high quality, zoomable maps of circular genomes. Its primary purpose is to serve as a component of sequence annotation pipelines, as a means of generating visual output suitable for the web., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: CGView (RRID:SCR_011779) Copy   

•   Source: SciCrunch Registry

http://bioen-compbio.bioen.illinois.edu/PSAR-Align/

Software for improving multiple sequence alignment using probabilistic sampling.

Proper citation: PSAR-Align (RRID:SCR_011814) Copy   

•   Source: SciCrunch Registry

http://gaggle.systemsbiology.net/docs/geese/genomebrowser/

An open source software tool for visualizing high-density data plotted against coordinates on the genome.

Proper citation: Gaggle (RRID:SCR_011780) Copy   

•   Source: SciCrunch Registry

https://bioinf.eva.mpg.de/patman/

Software that searches for short patterns in large DNA databases, allowing for approximate matches., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: PatMaN (RRID:SCR_011821) Copy   

•   Source: SciCrunch Registry

http://utgenome.org/index.html

An open-source software for developing personalized genome browsers that work in web browsers.

Proper citation: UTGB Toolkit (RRID:SCR_011797) Copy   

•   Source: SciCrunch Registry

http://graphics.med.yale.edu/trim/

A fast and lightweight software to trim adapters and low quality regions in reads from ultra high-throughput next-generation sequencing machines.

Proper citation: Btrim (RRID:SCR_011836) Copy   

•   Source: SciCrunch Registry

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

Software tool that removes adapter sequences from DNA sequencing reads., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: cutadapt (RRID:SCR_011841) Copy   

•   Source: SciCrunch Registry

http://genopole.pasteur.fr/SynTView/

An interactive multi-view genome browser for next-generation comparative microorganism genomics.

Proper citation: SynTView (RRID:SCR_011939) Copy   

•   Source: SciCrunch Registry

http://cbb.sjtu.edu.cn/~ccwei/pub/software/NeSSM.php

A Next-Generation Sequencing Simulator for Metagenomics.

Proper citation: NeSSM (RRID:SCR_011941) Copy   

•   Source: SciCrunch Registry

http://metavelvet.dna.bio.keio.ac.jp/

Software for a short read de novo metagenome assembly created by modifying and extending a single-genome and de Bruijn-graph based assembler, Velvet.

Proper citation: MetaVelvet (RRID:SCR_011915) Copy   

•   Source: SciCrunch Registry

http://omics.informatics.indiana.edu/GeneStitch/

Network Matching Algorithm using the de Bruijn graph assembly of metagenomes to improve the assembly of genes.

Proper citation: GeneStitch (RRID:SCR_011910) Copy   

•   Source: SciCrunch Registry

http://bayescall.sourceforge.net/

An efficient model-based base-calling algorithm for high-throughput sequencing.

Proper citation: naiveBayesCall (RRID:SCR_011866) Copy   

•   Source: SciCrunch Registry