Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • Comments on Software for Genomics

    I have a list of software that our organization deploys. I usually concentrate on open source tools to analyze genomics data with notable execptions of novoalign and Excel.
    I am looking for user comments on how good some commercial/third party software solutions are.

    The list is ...

    Software Name Manufacturer
    Analytica Lumina Decision Systems
    BIOBASE BIOBASE (Qiagen)
    ChemBioOffice Ultra 2008 CambridgeSoft Corp. (Perkin Elmer)
    CLC Genomics Workbench Qiagen (CLC bio)
    EndNote Thomson Reuters (Scientific)
    FlowJo Cytometry Tree Star Inc.
    Geneious Pro Biomatters, Inc.
    GenePix Pro 6 MDS Analytical Technologies
    GeneSpring Agilent Technologies Inc.
    Genomatix Suite Genomatix Software
    Genome Analyzer - Genomatix Mining Station (GMS) and Genomatix Genome Analyer (GGA) Genomatix Software
    GraphPad Prism GraphPad Software, Inc.
    High Performance Computing/Data Management
    ImageQuant TL GE Healthcare Bio-Sciences Corp
    Ingenuity Pathways Analysis (IPA)QIAGEN Redwood City
    iReview/JReview Integrated Clinical Systems, Inc.
    JMP SAS Institute Inc.
    KaleidaGraph Synergy Software
    Labmatrix BioFortis, Inc.
    Lasergene DNASTAR, Inc.
    MacVector MacVector, Inc.
    Mathematica Wolfram Research, Inc.
    MetaCore Thomson Reuters
    Nexus Copy Number BioDiscovery, Inc.
    Partek Genomics Suite Partek Inc.
    Pathway Studio Enterprise Ariadne Genomics Inc.
    Quosa Elsevier
    Reference Manager (user's info)
    SAS SAS Institute Inc.
    ScienceSlides VisiScience Corp.
    Sequencher Gene Codes Corporation
    SigmaPlot Systat Software, Inc.
    SPSS IBM Corporation
    Stat/Transfer Circle Systems, Inc.
    Stata/SE StataCorp LP
    StatXact Cytel Inc.
    SUDAAN Research Triangle Institute
    TIBCO Spotfire S+ TIBCO Software Inc,
    Vector NTI Suite Invitrogen (Life Technologies)


    Rather that just list features, I'd like to get your opinions.
    So any commentary, thumbs up, thumbs down, etc. on the usefulness on any of these (or others that you can think of) would be appreciated.

  • #2
    Folks please don't start a discussion (war) about commercial versus open source software.

    @Richard's question is specifically about what people find useful/bad about the list of software posted so answers should stay focused on that aspect.

    Comment


    • #3
      Since most of these packages cost a pretty penny they must still be providing some useful benefit for a section of users in your workplace. Hopefully someone monitors usage and decides what gets renewed (since most probably have/need a maintenance contract to receive updates). People often make the error of assuming that if you don't personally like/use a software then no one else likes/needs it either.

      Vector NTI is the grand daddy of bioinformatics software and it has been around for so long that many labs have year's worth of data stored in their local VNTI databases. It is a miracle but the original Vector NTI suite still works all the way on Windows 10 (there are parts in there that are probably from mid-90s, Jet database engine). Vector NTI Express for PC/Mac is a total java rewrite (so a completely separate program suite) that is more current (and has most of the functionality of original Vector NTI Suite) and is more frequently updated. Vector NTI is like old slippers, for many. People are used to it and its interface.

      DNASTAR is pretty popular with folks who do Sanger sequencing. Its feature set for handling Sanger data overlaps largely with Sequencher. Different bits of DNASTAR require a different level of purchase.

      Ingenuity Pathway Analysis can save someone tons of time if you work in human/mouse/rat systems since their integrated knowledgebase is human curated and can create a story from a list of genes (provided you have a sane result to begin with) with a few clicks.

      SAS/SPSS is kind of like Vector NTI. If you learned SAS/SPSS a long time ago and have used it since then nothing is going to tempt these people to go to R or anything else.

      CLC Genomics Workbench is perhaps the most comprehensive single package that wraps many core NGS data analysis methodologies in one relatively easy to use Java program. Additional functionality is enabled by "plug-in's" which sometimes require their own separate licenses. If one is analyzing a simple straight forward dataset then CLC requires the least amount of activation energy to get started with NGS data analysis.
      Last edited by GenoMax; 08-04-2016, 11:05 AM.

      Comment


      • #4
        I have been using nexus copy number for many years (primarily for array cgh. It it very easy to use, flexible (both platfom independent and runs in windows, mac, and linux), and newest version of (nxclinical) will have additional ngs capabilities. I hope this helps .
        Last edited by cmccabe; 08-04-2016, 03:37 PM. Reason: added details

        Comment


        • #5
          My 2p:

          EndNote: Myself and others around me have switched to Mendeley and we are quite happy with it. I haven't been too impressed by Endnote and sometimes I got troubles making it work, possibly because I wasn't using it properly. In any case, Mendeley is free and for what I need is at least as good, if not better, so the choice is obvious to me.

          Comment


          • #6
            Would like to add Strand NGS software to the above list.
            Strand NGS is an integrated platform that provides analysis, management and visualization tools for next generation sequencing (NGS) data with desktop/ server versions and includes a feature-rich Genome Browser that provides custom visualizations to support the interpretation of analysis results.
            Supports alignment and analysis of RNA-Seq, DNA-Seq, small RNA, Methyl-Seq, MeDIP-Seq and ChIP-Seq data, as well as biological interpretation, including Pathway and Multi-omic analysis. (http://www.strand-ngs.com/)

            Comment


            • #7
              For what concerns me, I didn't use many of these but for the ones I used, Thumbs up for Geneious Pro and Mathematica.

              Comment

              Latest Articles

              Collapse

              • seqadmin
                Advanced Tools Transforming the Field of Cytogenomics
                by seqadmin


                At the intersection of cytogenetics and genomics lies the exciting field of cytogenomics. It focuses on studying chromosomes at a molecular scale, involving techniques that analyze either the whole genome or particular DNA sequences to examine variations in structure and behavior at the chromosomal or subchromosomal level. By integrating cytogenetic techniques with genomic analysis, researchers can effectively investigate chromosomal abnormalities related to diseases, particularly...
                09-26-2023, 06:26 AM
              • seqadmin
                How RNA-Seq is Transforming Cancer Studies
                by seqadmin



                Cancer research has been transformed through numerous molecular techniques, with RNA sequencing (RNA-seq) playing a crucial role in understanding the complexity of the disease. Maša Ivin, Ph.D., Scientific Writer at Lexogen, and Yvonne Goepel Ph.D., Product Manager at Lexogen, remarked that “The high-throughput nature of RNA-seq allows for rapid profiling and deep exploration of the transcriptome.” They emphasized its indispensable role in cancer research, aiding in biomarker...
                09-07-2023, 11:15 PM
              • seqadmin
                Methods for Investigating the Transcriptome
                by seqadmin




                Ribonucleic acid (RNA) represents a range of diverse molecules that play a crucial role in many cellular processes. From serving as a protein template to regulating genes, the complex processes involving RNA make it a focal point of study for many scientists. This article will spotlight various methods scientists have developed to investigate different RNA subtypes and the broader transcriptome.

                Whole Transcriptome RNA-seq
                Whole transcriptome sequencing...
                08-31-2023, 11:07 AM

              ad_right_rmr

              Collapse

              News

              Collapse

              Topics Statistics Last Post
              Started by seqadmin, Yesterday, 06:57 AM
              0 responses
              10 views
              0 likes
              Last Post seqadmin  
              Started by seqadmin, 09-26-2023, 07:53 AM
              0 responses
              10 views
              0 likes
              Last Post seqadmin  
              Started by seqadmin, 09-25-2023, 07:42 AM
              0 responses
              15 views
              0 likes
              Last Post seqadmin  
              Started by seqadmin, 09-22-2023, 09:05 AM
              0 responses
              45 views
              0 likes
              Last Post seqadmin  
              Working...
              X