Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • Jim Robinson
    Member
    • May 2009
    • 75

    Hello from Boston (IGV creator)

    Hi, I'm the creator if IGV (Integrative Genomics Viewer) and am joining the forum to keep abreast of active issues, takes suggestions from this community, and hopefully get some of my questions answered.

    IGV can be used to visualize short-read alignments, as a generic genome browser, and for microarray based experiments. I'm still learning my way around this website, and will try to subscribe to some of the forums, but fill free to send me a private message re IGV questions.

    Jim Robinson
    Broad Institute
  • sdarko
    Member
    • Apr 2009
    • 52

    #2
    Hi Jim,

    I caught your presentation at NIH on IGV recently. Great tool and I've been using it ever since.

    Sam

    Comment

    • polivares
      Member
      • Jan 2009
      • 29

      #3
      I want to thank you for the great tool you have developed !

      You make me save LOTS of time.

      All the best

      Pedro

      Comment

      • Buzz0r
        Sequenizer
        • Sep 2010
        • 27

        #4
        hey there,
        i am thinking about using the IGV for my research but i am also considering the new SAVANT. is there a video of the talk you gave earlier this year at NIH? or any other presentation of the IGV?

        thanks, thomas

        Comment

        • Jim Robinson
          Member
          • May 2009
          • 75

          #5
          Hi Thomas,

          Sorry but we don't have any videotapes of presentations. I suggest you try both tools, choice is good and you might find you like both for different things.

          -- Jim

          Comment

          • Buzz0r
            Sequenizer
            • Sep 2010
            • 27

            #6
            okay,

            we already are looking at both and see nice visual possibilities in either one. We are only using the viewers for inspection due to our own analytic and statistic scripts so i cannot comment on the further possibilitier like the analytical plugins for example.

            But for other readers: both are very easy to handle and very good on the memory usage. I will update you if i find any big runtime, memory aso differences if there are any readers who are actually interested in this IGV vs. SAVANT comparison. I might also look at another viewer called "SVA" if i ever get enough spare time soon...schedule is packed as usual ...

            best, thomas

            Comment

            • Jim Robinson
              Member
              • May 2009
              • 75

              #7
              Very good. If you test any really large data files, such as "wig" files, you should use "igvtools" to convert the ascii file to a .tdf file. These are more or less equivalent in purpose to the ".savant" files, but it is optional to create these in IGV so many people don't know about them. You can run igvtools from the command line or launch a GUI to run them from the file menu. This format is used for all the large tracks in our "hg18" load from server, such as the Encode data.

              Comment

              • boetsie
                Senior Member
                • Feb 2010
                • 245

                #8
                <<<MOVED THIS QUESTION TO Bioinformatics >>>

                Hi Jim,

                I'm currently testing IGV for visualising SNPs on a bacterial genome. I've generated a SNP table with CLC which looks like this;

                Reference Position Consensus Position Variation Type Length Reference Variants Allele Variations Frequencies Counts
                122 122 SNP 1 G 1 A 100 133
                1411 1411 SNP 1 T 1 C 100 135
                1639 1639 SNP 1 G 1 A 100 127
                1738 1738 SNP 1 A 1 G 100 118
                ....

                I have converted this file to a simple .bed file;

                GENOMENAME 121 122 A
                GENOMENAME 1410 1411 C
                GENOMENAME 1638 1639 A
                GENOMENAME 1737 1738 G
                ......

                This all works, as i can read in the file and visualize it along the genome. However, i want to add more information, like the 'Frequences' and 'Counts' column. These columns should be displayed if i scroll over a SNP.

                How can i do this? How should the input look like?

                Thanks for the help,

                Boetsie
                Last edited by boetsie; 01-21-2011, 02:11 AM.

                Comment

                • Jim Robinson
                  Member
                  • May 2009
                  • 75

                  #9
                  Hi,

                  Unfortunately the bed format is pretty rigid in column definitions. One alternative is to us GFF3 (http://gmod.org/wiki/GFF3#GFF3_Format) and use the last column (attributes). So

                  1411 1411 SNP 1 T 1 C 100 135

                  would become

                  chrName . SNP 1411 1411 . . . ID=SNP1411;Name=C;Reference=T; etc

                  GFF is very verbose, you will have to repeat the attribute names on every row. You could also use VCF format, which IGV supports and is defined for this. Finally, I could add the snp table format, email a reference to the spec to [email protected] and we can discuss it further.

                  Regards,

                  Jim

                  Comment

                  • Jean
                    Member
                    • Nov 2008
                    • 37

                    #10
                    Hi Jim,
                    I have been using IVG to view bacterial RNA-seq data and I really like the viewer. However, I am having trouble getting the gene annotation information to display. I have tried loading the GFF file with the genome FASTA but the track is blank - am I possibly doing something wrong?

                    Jean

                    Comment

                    • Jim Robinson
                      Member
                      • May 2009
                      • 75

                      #11
                      Hi Jean,

                      The most common cause of this is a mismatch in sequence (chromosome/contig/whatever) names between the fasta and GFF file. If you want to email us a sample of your GFF and fasta file I'll look at it in more detail. Send it to [email protected].

                      -- Jim

                      Comment

                      • gaffa
                        Member
                        • Oct 2010
                        • 82

                        #12
                        Hi Jim, I really like the IGV browser but one thing that could use some improvement in my opinion is the display of insertions. I don't know if there are any plans to change this, but the current system with the "I"-symbol marking the location of an insertion doesn't really allow for detailed examination of sequence context in/around insertions. Instead I usually resort to samtools tview for such examination.

                        Comment

                        • Jim Robinson
                          Member
                          • May 2009
                          • 75

                          #13
                          Yes, that's embarrassing really. It was copied from UCSC's method of displaying insertions in multiple alignments until something better could be coded. Its high on my list to improve.

                          So the plan is to "stretch" the reference where insertions occur so that the whole sequence of the insertion can be seen. The reference sequence will just show dots there. It really is high on my list but there's a flood of other things being implemented at the moment, I expect to get to this within the next 6-8 weeks however.

                          -- Jim

                          Comment

                          • Jean
                            Member
                            • Nov 2008
                            • 37

                            #14
                            Hi Jim.
                            I just wanted to thank you for the update to IGV to display my custom GFF file. We now have some really great visualization of our transcriptome mappings that will be invaluable for analysis.

                            Attached is a screenshot for anyone who might be interested.

                            I've also noticed I can enter annotation information into the file which is displayed in IGV by mouse-over - very useful!

                            Jean
                            Attached Files
                            Last edited by Jean; 01-24-2011, 03:03 PM.

                            Comment

                            • doron
                              Junior Member
                              • Feb 2011
                              • 2

                              #15
                              Gff3 problems

                              Hi Jim,

                              great work on the IGV, it is very helpful!
                              I have a small problem with viewing gff3 data.
                              I attached an example of a gene i'm trying to view. (gene.gff3)
                              The viewer only shows 2 of 3 UTRs, with no CDSes.

                              I found a way to improve the situation by inserting an exon record (gene_improved.gff3)
                              But, In this example, the viewer shows only 1 of the 2 5UTRs.

                              Is there a way to show all UTRs (in narrow blocks) and Cdses (in thick blocks)?

                              Thank you very much!
                              Doron Shem-Tov

                              Comment

                              Latest Articles

                              Collapse

                              • SEQadmin2
                                Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
                                by SEQadmin2



                                Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
                                ...
                                07-09-2026, 11:10 AM
                              • SEQadmin2
                                Cancer Drug Resistance: The Lingering Barrier to Rising Survival
                                by SEQadmin2



                                Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

                                There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
                                07-08-2026, 05:17 AM
                              • GATTACAT
                                Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
                                by GATTACAT
                                Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
                                07-01-2026, 11:43 AM

                              ad_right_rmr

                              Collapse

                              News

                              Collapse

                              Topics Statistics Last Post
                              Started by SEQadmin2, 07-13-2026, 10:26 AM
                              0 responses
                              18 views
                              0 reactions
                              Last Post SEQadmin2  
                              Started by SEQadmin2, 07-09-2026, 10:04 AM
                              0 responses
                              30 views
                              0 reactions
                              Last Post SEQadmin2  
                              Started by SEQadmin2, 07-08-2026, 10:08 AM
                              0 responses
                              16 views
                              0 reactions
                              Last Post SEQadmin2  
                              Started by SEQadmin2, 07-07-2026, 11:05 AM
                              0 responses
                              34 views
                              0 reactions
                              Last Post SEQadmin2  
                              Working...