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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.
https://code.google.com/p/hlaforest/
Software that predicts HLA haplotype by hierarchically weighting reads and using an iterative, greedy, top down pruning technique. HLAforest uses BioPerl to read in FASTA files. Alignments use Bow tie, although any alignment tool can be used to generate SAM alignments for use as input to HLAforest.
Proper citation: HLAforest (RRID:SCR_012146) Copy
http://cran.r-project.org/web/packages/RJaCGH/index.html
Software for Bayesian analysis of CGH microarrays fitting Hidden Markov Chain models.
Proper citation: RJaCGH (RRID:SCR_008381) Copy
http://www.cerc.utexas.edu/OnlineCall/
A fast basecalling scheme for Illumina''s Next Generation sequencing machines, specifically designed for GAII.
Proper citation: OnlineCall (RRID:SCR_008263) Copy
http://bioinfo.cipf.es/isacghtrac
Software to analyze CNV that will now normalize arrays CGH and it will visually integrate different genome annotations.
Proper citation: IsaCGH (RRID:SCR_008375) Copy
http://tree.bio.ed.ac.uk/software/figtree
A graphical viewer of phylogenetic trees and a program for producing publication-ready figures. It is designed to display summarized and annotated trees produced by BEAST.
Proper citation: FigTree (RRID:SCR_008515) Copy
http://seqpig.sourceforge.net/
A software library for Apache Pig for the distributed analysis of large sequencing datasets on Hadoop clusters.
Proper citation: SeqPig (RRID:SCR_008548) Copy
http://mothra.ornl.gov/cgi-bin/cat/cat.cgi
A repository of tools for analysis and annotation of CAZYmes (Carbohydrate Active enZYmes)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: CAT (RRID:SCR_008421) Copy
http://bioinf.uni-greifswald.de/augustus/
Software for gene prediction in eukaryotic genomic sequences. Serves as a basis for further steps in the analysis of sequenced and assembled eukaryotic genomes.
Proper citation: Augustus (RRID:SCR_008417) Copy
http://www.broadinstitute.org/scientific-community/science/programs/cancer/ultrasome
An efficient methodology for detecting and delineating gains and losses of chromosomal material in DNA copy-number data.
Proper citation: Ultrasome (RRID:SCR_008465) Copy
http://pga.mgh.harvard.edu/oligopicker/
Software to help selecting up to five oligo probes for each of the DNA sequences you provided for microarray spotting.
Proper citation: OligoPicker (RRID:SCR_008720) Copy
http://dc.crs4.it/projects/biodoop
A suite of parallel bioinformatics applications based upon a popular open-source Java implementation of MapReduce, Hadoop.
Proper citation: Biodoop (RRID:SCR_008711) Copy
http://code.google.com/p/drgap/
Designed to identify Driver Genes and Pathways in cancer genome sequencing studies.
Proper citation: DrGaP (RRID:SCR_008670) Copy
http://www.broadinstitute.org/cancer/cga/invex/
A permutation-based method (written in Python) for ascertaining genes with a somatic mutation distribution showing evidence of positive selection for non-silent mutations.
Proper citation: InVEx (RRID:SCR_008734) Copy
http://genome.ufl.edu/rivalab/pasta/
A complete pipeline for the analysis of alternative splicing using RNA-Sequencing data.
Proper citation: PASTA (RRID:SCR_008770) Copy
http://www.raetschlab.org/suppl/qpalma
An alignment tool targeted to align spliced reads produced by Next Generation sequencing platforms such as Illumina Solexa or 454.
Proper citation: QPALMA (RRID:SCR_008791) Copy
http://r-forge.r-project.org/projects/sequgio/
An algorithm to estimate isoforms expression from RNA-seq data based on a model that doesn''t assume uniform distribution of count within transcripts.
Proper citation: Sequgio (RRID:SCR_008867) Copy
http://lrcv-crp-sante.s3-website-us-east-1.amazonaws.com/
A gene set analysis algorithm for biomarker identification in the cloud.
Proper citation: YunBe (RRID:SCR_008740) Copy
An information extracting and processing package for biological literature that can be used online or installed locally via a downloadable software package, http://www.textpresso.org/downloads.html Textpresso's two major elements are (1) access to full text, so that entire articles can be searched, and (2) introduction of categories of biological concepts and classes that relate two objects (e.g., association, regulation, etc.) or describe one (e.g., methods, etc). A search engine enables the user to search for one or a combination of these categories and/or keywords within an entire literature. The Textpresso project serves the biological and biomedical research community by providing: * Full text literature searches of model organism research and subject-specific articles at individual sites. Major elements of these search engines are (1) access to full text, so that the entire content of articles can be searched, and (2) search capabilities using categories of biological concepts and classes that relate two objects (e.g., association, regulation, etc.) or identify one (e.g., cell, gene, allele, etc). The search engines are flexible, enabling users to query the entire literature using keywords, one or more categories or a combination of keywords and categories. * Text classification and mining of biomedical literature for database curation. They help database curators to identify and extract biological entities and facts from the full text of research articles. Examples of entity identification and extraction include new allele and gene names and human disease gene orthologs; examples of fact identification and extraction include sentence retrieval for curating gene-gene regulation, Gene Ontology (GO) cellular components and GO molecular function annotations. In addition they classify papers according to curation needs. They employ a variety of methods such as hidden Markov models, support vector machines, conditional random fields and pattern matches. Our collaborators include WormBase, FlyBase, SGD, TAIR, dictyBase and the Neuroscience Information Framework. They are looking forward to collaborating with more model organism databases and projects. * Linking biological entities in PDF and online journal articles to online databases. They have established a journal article mark-up pipeline that links select content of Genetics journal articles to model organism databases such as WormBase and SGD. The entity markup pipeline links over nine classes of objects including genes, proteins, alleles, phenotypes, and anatomical terms to the appropriate page at each database. The first article published with online and PDF-embedded hyperlinks to WormBase appeared in the September 2009 issue of Genetics. As of January 2011, we have processed around 70 articles, to be continued indefinitely. Extension of this pipeline to other journals and model organism databases is planned. Textpresso is useful as a search engine for researchers as well as a curation tool. It was developed as a part of WormBase and is used extensively by C. elegans curators. Textpresso has currently been implemented for 24 different literatures, among them Neuroscience, and can readily be extended to other corpora of text.
Proper citation: Textpresso (RRID:SCR_008737) Copy
http://bioinformatics.fccc.edu/software/OpenSource/FGDP/FGDP.shtml
A Java-based, Microarray or Genechip data analysis system.
Proper citation: FGDP (RRID:SCR_008910) Copy
http://www.biomedcentral.com/1471-2105/14/357/abstract
Sample size calculation based on exact test for assessing differential expression analysis in RNA-seq data. R code is available from the corresponding author.
Proper citation: A sample size calculation method (RRID:SCR_009469) Copy
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