Error running FuSeq.R

[Kate Simonova]

Rscript FuSeq.R in=/home/me/test_output txfasta=/home/me/Homo_sapiens.GRCh38.cdna.all.fa sqlite=/home/me/Homo_sapiens.GRCh38.103.sqlite txanno=/home/me/Homo_sapiens.GRCh38.94.txAnno.RData out=/home/me/Out params=/home/me/FuSeq_v1.1.4_linux_x86-64/R/params.txt

txann was downloaded from the github page
txfasta was downloaded from ensembl web-page along woth gft file used to build a db sqlite

Results in the following Error:

List of arguments:  in=/home/me/test_output txfasta=/home/me/Homo_sapiens.GRCh38.cdna.all.fa sqlite=/home/me/Homo_sapiens.GRCh38.103.sqlite txanno=/home/me/Homo_sapiens.GRCh38.94.txAnno.RData out=/home/me/Out params=/home/me/FuSeq_v1.1.4_linux_x86-64/R/params.txt
Warning: The output directory is already existed, old results will be over written
-----
Parameter settings:
 readStrands= UN
 chromRef=1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,X,Y
 maxSharedCount= 0.05
 onlyProteinCodingGenes= TRUE
 minGeneDist= 1e+05
 minJunctionDist= 1e+05
 maxInvertedFusionCount= 0
 maxMRfusionFc= 2
 maxMRfusionNum= 2
 sgtMRcount= 10
 minMR= 2
 minNonDupMR= 2
 minSR= 1
 minScore= 3
 exonBoundary= TRUE
 keepRData= TRUE
 exportFasta= FALSE
-------------------------

 ------------------------------------------------------------------
 Processing mapped reads (MR) from dataset:  /home/me/test_output  read strands: UN
 Read fusion equivalence classes
 Reading  /home/me/test_output/feq_UN.txt
 The total number of fusion equivalence classes:  1161
 Create the maps between feq and fgeError in .testForValidKeys(x, keys, keytype, fks) :
  None of the keys entered are valid keys for 'TXNAME'. Please use the keys method to see a listing of valid arguments.
Calls: processMappedRead ... select -> .select -> testSelectArgs -> .testForValidKeys
Execution halted

[Kate Simonova]

I solved the issue myself the problem was that I used GRCh38 and I did.t notice in README the following lines:

Homo sapiens version GRCh38.94: However, before running FuSeq for this annotation, users should clean the version information from the transcript names and gene names as described in Section 7.