Showing posts with label fusion gene. Show all posts
Showing posts with label fusion gene. Show all posts

Tuesday, April 4, 2017

News about fusion genes discovery

Fusion discovery from RNA-seq goes on. Finally, a nice and useful publication trying to establish perfectly the variance between fusions and chimeras was published. Probably it will help to decrease the mess in the area (especially interpretation of termins like chimera, fusion, read-through...).

Also, InFusion tooklit is being applied. The manuscript describing it was already cited in the recent investigation of meningoma methylation patterns. Moreover, it was included and compared to other tools by Brian Haas in upcoming paper about STAR-fusion method. Glad to observe precise and honest comparison of methods, look forward to see this manuscript published.

Sunday, December 18, 2016

This finally happend: novel tool for fusion discovery from RNA-seq data

There was a long and a bit crazy story, however the toolkit that I was working on has now a publication in PLOS OnE. In short, tool has some unique features including support of strand-specificity to detect anti-sense chimeras and discovery of intergenic fusions. It's open-source and available in bitbucket repo.

It took us more than 3 years to finish the publication and this was amazing experience, which allowed me to learn what really can happen in science. Main lesson: there can be serious competition in research area that results in multiple unexpected issues. The journals with high impact factor are complex systems. Imagine submitting a manuscript, waiting for review 4 months(!) and receiving a statement that the "manuscript should be rejected while tool ability X is not important", with some strange citations. And then, exactly one month after rejection of your manuscript, there is a publication in the same journal with main statement of "the importance of ability X" in their tool. In our case the "ability X" was fusion isoform discovery confirmed with experimental validation.

This was probably main project for me during PhD and a perfect lesson. Of course, I am super grateful to my supervisor Dr. Fernando Garcia-Alcalde, to the whole team from MPIIB and to Lexogen company for amazing support. Moreover, additional useful comments I received from Prof. Steven Salzberg and he doesn't need an introduction for those who are working in sequencing data analysis area (btw, there is also his awesome blog).

Despite the complexity and multiple factors, science remains to me the most exciting and interesting area, where critical revision and communication have high impact. I will be glad to any comments, fixes or suggestions about InFusion. And of course, wish everyone not to experience any strange "non-scientific" problems, but have honest and correct reviews. Stay in science ;)

Tuesday, October 7, 2014

Visualizing RNA-seq alignments with fusions: is there anything better than IGV?

I was recently working on improving the module for generating alignments with annotated fusion-supporting reads in the context of InFusion pipeline for fusion gene and chimeric transcript discovery from RNA-seq data. Once you have such alignment in BAM format it is quite useful to visually inspect the reads supporting fusion breakpoint (junction between fused genes or transcripts). First of all it is a good sanity check to see if the prediction makes sense. Additionally, inspecting the coverage around the breakpoint might give some hints if the prediction is false positive.

So far I was using IGV for this purpose and it was working nicely for me. One cool thing about IGV is that it allows to color reads by any SAM record tag. This makes possible to color-code reads belonging to the same fusion based on a custom tag which is assigned by InFusion. IGV also allows splitting the screen to visualize both parts of the fusion (sadly without zooming). You get to see something like this:


When checking several fusion predictions I noticed that IGV was not showing some fusion-supporting alignments. Later I figured out that this was due to a configuration setting of a maximum number of reads displayed. But at first I thought - why not try using something else? There are tons of genome browsers out there.

I tested several popular of them, but none worked as good as IGV. See my comments below.

Important note: all software was tested on Ubuntu 12.04 x64.

In my tests I was trying to visualize a certain region of a BAM file that according to prediction has a fusion breakpoint. This how the region looks in IGV v2.2.2:


As you can see reads belonging to fusions are shown in different colors based on a custom SAM record tag. This allows to easily distinguish between the fusion-supporting and "normal" alignments. Another very nice feature is the coverage track. It makes possible to see the overall coverage level in the region and visually detect any suspicious peaks.

Now let's see how other browsers display the same region.

IGB v8.1.11. I loaded the BAM file and successfully zoomed to the region. At first I was not able to see any reads, however after clicking on "Optimize track height" the reads appeared. Unfortunately it was not possible to color reads by arbitrary tag and I could not find an option to search for a read by name. So it was not easy to find and inspect fusion-supporting alignments:


GenomeView 2450. As previously I loaded the BAM file and zoomed to the region of interest. Only certain number of reads was shown. Also as I understand this browser has a fixed color-scheme for reads. Therefore it was not possible to visualize fusion supporting reads:


Tablet v1.14.04. I loaded the BAM file and tried to jump to the desired base in the chromosome, however the software crashed complaining that the BAM file is not sorted or index is missing (which was not true). I also tried to search by name for a certain read supporting the fusion breakpoint in order to quickly zoom to the location. The read was found successfully, but once again when I tried to go the location of the read the software crashed.

Update 08.10.2014: The developers replied very quickly to my bug-report. The issue was due to one alignment record in the BAM file having wrongly formatted CIGAR. After fixing this record the region was shown successfully. Searching read by name is a very handy feature of Tablet. However the coloring by tag is not supported. One possible solution to mark fusion-supporting reads is to assign read groups to them, but this would require some additional work.

Savant v2.0.5. I loaded the BAM file, but unfortunately when I zoomed to the region of interest the data track was flickering and it was not possible to see anything. I reported the issue to the developers. Here how it looks on a screenshot:


Conclusion. Although the bugs in the software might be fixed in future versions, at the current moment IGV remains the best browser to visualize RNA-seq alignments with fusion genes. I suppose the same true (and some people agree) for visualization of structural variations in WGS-data.

Monday, February 17, 2014

IGV: how to activate split screen for arbitrary regions

IGV allows to use so called "split-screen" view in order to show 2 mate pairs from different genomic regions simultaneously. This mode can be called using feature "View mate region in split screen".

However it is also possible to activate this mode for arbitrary regions. This can be useful for instance when looking at fusion genes. To turn on the split-mode type the coordinates of the regions separated by space in the Location field. For example, "chr15:75094339-75094402 chr11:7655726-7655936".


Tested in IGV 2.2.2