Several ways are possible to use the application
java [-Xmx512m] -jar tint.jarthe parameter -Xmx is not neccessary, but sets the maximum memory consumed by Java. Here is is set to 512MB. If the application hangs, it could be neccessary to encrease the value (like -Xmx1024m).
Reading data (esp the data from the servers called "Remote RM data") may take minutes to finish, depending on the internet connection. To avoid reading again over internet there is an option in the menu called "Download RM data". Here you may select files and store them locally on your computer. This may improve your evaluation time.
Error messages are written (added) into a file called tint.log in the folder $HOME/.bioinf (on unix machines) or the appropriate folder .bioinf in your user's directory in Windows. In case of failures it is a good idea to send the tint.log file along with a failure message.
SW perc perc perc query position in query matching repeat position in repeat score div. del. ins. sequence begin end (left) repeat class/family begin end (left) ID 221 28.7 0.6 8.3 scaffold_0 167 322 (75329) + CT-rich Low_complexity 1 144 (0) 1 255 29.0 2.2 6.1 scaffold_0 306 485 (75166) + C-rich Low_complexity 4 176 (0) 2 223 21.3 0.0 4.1 scaffold_0 2073 2121 (73530) + G-rich Low_complexity 2 48 (0) 3 412 24.8 9.6 1.9 scaffold_0 2935 3090 (72561) + MLT1A LTR/MaLR 1 168 (206) 4 238 19.2 3.9 0.0 scaffold_0 9145 9196 (66455) + L1MC LINE/L1 3675 3728 (2418) 5 272 19.4 0.0 14.3 scaffold_0 9205 9288 (66363) + tRNA-Lys-AAG tRNA 1 72 (4) 6 850 7.9 0.0 0.8 scaffold_0 9289 9415 (66236) + SINEC_Fc2 SINE/Lys 90 215 (10) 7 2318 19.7 5.0 7.0 scaffold_0 9422 9830 (65821) + L1MC LINE/L1 3732 4163 (1983) 5 912 21.7 6.5 3.7 scaffold_0 9831 10045 (65606) + SINEC_Fc2 SINE/Lys 1 221 (4) 8 2318 19.7 5.0 7.0 scaffold_0 10046 10291 (65360) + L1MC LINE/L1 4164 4374 (1772) 5 749 18.5 13.7 4.9 scaffold_0 11098 11302 (64349) + SINEC_Fc2 SINE/Lys 3 225 (0) 9 774 30.5 17.7 2.7 scaffold_0 12157 12895 (62756) + L1MC3 LINE/L1 6618 7467 (318) 10 318 31.8 4.5 3.0 scaffold_0 16128 16260 (59391) + MIR SINE/MIR 53 187 (75) 11Header lines are discarded while loading and it is essential that each data line include the ID number! Perc: xxxx, div: xxx, del: xxxx, ins: xxx, etc. for all abbreviations.
AluJb[SINE/Alu] 3 19 0 1 1 0 1 0 25279 1 274.5 AluJo[SINE/Alu] 2 22 0 0 0 1 0 0 27779 1 263.3 AluSc[SINE/Alu] 7 21 0 3 0 1 7 0 9508 1 296.5 AluSg[SINE/Alu] 8 15 3 0 0 1 13 0 16935 1 312.6 AluSp[SINE/Alu] 8 13 0 1 0 2 11 0 10366 1 311.3 AluSq[SINE/Alu] 6 23 2 1 1 1 7 0 17939 1 306.1 AluSx[SINE/Alu] 37 88 1 3 1 5 14 1 63713 1 309.5 AluY[SINE/Alu] 17 43 8 5 3 10 43 2 27919 1 309.0In the first column there are the names of transpositions together with the listed families/classes. The last 3 columns contain (1) the count, (2) a time-scale factor (reserved) and (3) an average size (length) of the elements analyzed elements. The other columns contain the count of transpositions t(i) inside t(j) where i denotes the row and j the column.
[SINE Check] qlen=20 rext=50 rextover=18 rover=35 strongcond=true [CR1 Check] qlen=20 rext=50 rextover=24 rover=12 gap=50 [Family Colors] LINE/CR1=128,128,128 LINE/I=128,128,128 LINE/Jockey=128,128,128 LINE/LOA=128,128,128 LINE/R1=128,128,128 LINE/R2=128,128,128 LINE/telomeric=128,128,128 LTR/Copia=128,128,128 LTR/Gypsy=128,128,128 LTR/Pao=128,128,128 SINE/Alu=128,128,128 [Trans Colors] AluJb=0,128,128 AluSc=255,128,128 DMCR1A=191,128,128 MDG1=255,128,128 [Merging] ALU=Alu1,Alu2,LINE/CL XYZ=SINE,SINE/CL
After starting the application you will find a pull down menu at the top of the application. The option File allows you to load and store information
Figure 1: Input mask after starting the TinT application.
The initial step is to load Repeat Masker data. There are three options
Figure 2: Example for loading predefined RepeatMasker data from representative species or from current TinT publications.
After loading RepeatMasker data from a selected species (this can take a while, the progress is indicated on the bottom line) a table of element families and subfamilies will appear (entitled: Select Elements). Select the group of elements to calculate their TinTs (please note that the selected data are reloaded and they replace the original data input to keep the memory usage of the local computer as low as possible).
Figure 3: Mask to select specific elements for TinT.
After selecting your elements of interest, a Bar Graph of retroposon activity appears. If desired, the colors for specific bars can be adopted by clicking on the ovals and selecting the color from the color spectrum (alternatively, colors can be changed via the Edit menu. It is also possible to set retroposon colors corresponding to family affiliations.
Figure 4: Results of a TinT analysis displayed in the Bar Graph.
At this stage you can save the frequency file (click: File and Save Frequency File) for reuse in a later run without having to reload the full data again.
Select Edit and Set Parameters from the pull down menu. Select the retroposon type (default: SINE or CR1). The Select Element table appears with the preselected elements. Parameters can be changes individually (see Churakov et al. 2010, Matzke et al. 2012). The TinTs will be calculated applying the changed parameters after reloading the data.
Figure 5: Standard parameters for a TinT run. For explanation see Churakov et al. 2010.
Select Edit and Merge Transpositions from the pull down menu. Add a new group name and select the Free Elements that should be merged. Move them with the "<" option to the Merged Elements field. Select these elements in the Merged Elements field. Print a name for the merged elements and press Add. The new graph with the merged elements will appear.
Figure 6: Merging elements in the Merged Elements field from the complete set in the Free Elements field. The new name C1 is designed for the merged elements.
You can choose the Cumulative Graph to see the cumulative probability of retrotransposon activity. This graph presents periods of high/low retroposon activity and/or changes in the population size over time. Colors of specific element activities can be adopted corresponding to the Bar Graph option as described above. Note that the elements with a large range of activity are placed at the bottom of the graph. Elements with low activity profiles are placed at the top. Move the mouse while pressing the ctrl key will zoom the corresponding region. Pressing the R key will reset to the original size. Clicking with the right mouse bottom in a part of the graph will place the name of the corresponding active element. An additional click will remove the name.
Figure 7: Cumulative Graph representing the accumulated retrotransposon activity probability. It is possible to zoom in on the curve to visualize specific parts of the graph.
The Distribution Graph shows individual curves of retrotransposon activity.
Figure 8: Distribution Graph showing the probabilities of individual element activities .
This graph displays the distribution of the calcualted T(i) values. For the actions inside this graph, see the cumulative graph. Just the "display names" option is not available.
The Frequency Matrix presents the calculated number of nested elements, the total count of elements, the average size of elements, and the T(i) values (a specific value of the TinT algorithm; see Churakov et al. 2010).
Figure 9: Frequency Matrix of TinT.
The Additional Info field displays the tranpositions that are not considered in the TinT calculation, either because they are too old, too young, or represent just a minor fraction of the total elements.
Figure 10: Additional Info table.
There is an additional optional feature enabled, which caches names of families and transpositions read from RepeatMasker files in a special file entitled: .bioinf/tint.cache. This helps to speed up the loading of files. If a file is not changed and already read, the names will be saved here, so they can be (re)read instead of having to load the RepeatMasker file twice. Removing the cache file initializes TinT on the next start.