diff --git a/deeprvat_annotations.yml b/deeprvat_annotations.yml
index e1834e9b..c7b5e1bc 100644
--- a/deeprvat_annotations.yml
+++ b/deeprvat_annotations.yml
@@ -15,6 +15,7 @@ dependencies:
   - numpy=1.21.2
   - tensorflow=2.11.0
   - pyarrow=11.0.0
+  - fastparquet=2023.4.0
   #comment out lines below if you want to use preinstalled bcftools or samtools
   - bcftools=1.17
   - samtools=1.17
\ No newline at end of file
diff --git a/pipelines/annotations.snakefile b/pipelines/annotations.snakefile
index 2f14204a..b8f7b345 100644
--- a/pipelines/annotations.snakefile
+++ b/pipelines/annotations.snakefile
@@ -32,7 +32,7 @@ load_perl = " ".join([config["perl_load_cmd"], "&&"])
 load_vep = " ".join([config["vep_load_cmd"], "&&"])
 
 # init data path
-vcf_pattern = config["vcf_file_pattern"]
+vcf_pattern = config["bcf_file_pattern"]
 bcf_dir = Path(config["bcf_dir"])
 anno_tmp_dir = Path(config["anno_tmp_dir"])
 anno_dir = Path(config["anno_dir"])
@@ -65,7 +65,14 @@ pvcf_blocks_df = pd.read_csv(
     dtype={"Chromosome": str},
 ).set_index("Index")
 # init absplice
+absplice_repo_dir = Path(config["absplice_repo_dir"])
 n_cores_absplice = int(config.get("n_cores_absplice") or 4)
+ncores_merge_absplice = int(config.get("n_cores_merge_absplice") or 64)
+#init deepripe
+n_jobs_deepripe = int(config.get("n_jobs_deepripe") or 8)
+# init kipoi-veff2
+kipoi_repo_dir = Path(config["kipoiveff_repo_dir"])
+ncores_addis  = int(config.get("n_jobs_deepripe") or 32)
 # Filter out which chromosomes to work with
 pvcf_blocks_df = pvcf_blocks_df[
     pvcf_blocks_df["Chromosome"].isin([str(c) for c in included_chromosomes])
@@ -575,10 +582,11 @@ rule deepRiPe_parclip:
         setup=repo_dir / "annotation-workflow-setup.done",
     output:
         anno_dir / (vcf_pattern + "_variants.parclip_deepripe.csv"),
-    resources:
-        mem_mb=100000
+    
+    threads: lambda wildcards, attempt: n_jobs_deepripe * attempt
+    
     shell:
-        f"mkdir -p {pybedtools_tmp_path/'parclip'} && python {annotation_python_file} scorevariants-deepripe {{input.variants}} {anno_dir}  {{input.fasta}} {pybedtools_tmp_path/'parclip'} {saved_deepripe_models_path} 'parclip'"
+        f"mkdir -p {pybedtools_tmp_path/'parclip'} && python {annotation_python_file} scorevariants-deepripe {{input.variants}} {anno_dir}  {{input.fasta}} {pybedtools_tmp_path/'parclip'} {saved_deepripe_models_path}  {{threads}} 'parclip'"
          
 
 
@@ -589,10 +597,10 @@ rule deepRiPe_eclip_hg2:
         setup=repo_dir / "annotation-workflow-setup.done",
     output:
         anno_dir / (vcf_pattern + "_variants.eclip_hg2_deepripe.csv"),
-    resources:
-        mem_mb=100000
+    threads: lambda wildcards, attempt: n_jobs_deepripe * attempt
+    
     shell:
-        f"mkdir -p {pybedtools_tmp_path/'hg2'} && python {annotation_python_file} scorevariants-deepripe {{input.variants}} {anno_dir}  {{input.fasta}} {pybedtools_tmp_path/'hg2'} {saved_deepripe_models_path} 'eclip_hg2'"
+        f"mkdir -p {pybedtools_tmp_path/'hg2'} && python {annotation_python_file} scorevariants-deepripe {{input.variants}} {anno_dir}  {{input.fasta}} {pybedtools_tmp_path/'hg2'} {saved_deepripe_models_path} {{threads}} 'eclip_hg2'"
 
 
 rule deepRiPe_eclip_k5:
@@ -602,10 +610,10 @@ rule deepRiPe_eclip_k5:
         setup=repo_dir / "annotation-workflow-setup.done",
     output:
         anno_dir / (vcf_pattern + "_variants.eclip_k5_deepripe.csv"),
-    resources:
-        mem_mb=100000
+    threads: lambda wildcards, attempt: n_jobs_deepripe * attempt
+    
     shell:
-        f"mkdir -p {pybedtools_tmp_path/'k5'} && python {annotation_python_file} scorevariants-deepripe {{input.variants}} {anno_dir}  {{input.fasta}} {pybedtools_tmp_path/'k5'} {saved_deepripe_models_path} 'eclip_k5'"
+        f"mkdir -p {pybedtools_tmp_path/'k5'} && python {annotation_python_file} scorevariants-deepripe {{input.variants}} {anno_dir}  {{input.fasta}} {pybedtools_tmp_path/'k5'} {saved_deepripe_models_path} {{threads}}  'eclip_k5'"
 
 
 rule all_vep:
diff --git a/pipelines/config/deeprvat_annotation_config.yaml b/pipelines/config/deeprvat_annotation_config.yaml
index b420881d..35aec1c7 100644
--- a/pipelines/config/deeprvat_annotation_config.yaml
+++ b/pipelines/config/deeprvat_annotation_config.yaml
@@ -5,12 +5,12 @@ htslib_load_cmd : module load htslib/1.9
 perl_load_cmd : module load perl/5.20.2
 vep_load_cmd : module load vep/108.1
 
-vcf_file_pattern : ukb23156_c{chr}_b{block}_v1
+bcf_file_pattern : ukb23156_c{chr}_b{block}_v1
 included_chromosomes : ['21','22']
 
 metadata_dir : input_dir/vcf/metadata
 pvcf_blocks_file : pvcf_blocks.txt
-vcf_dir : input_dir/vcf
+bcf_dir : input_dir/bcf
 anno_tmp_dir : output_dir/annotations/tmp
 anno_dir : output_dir/annotations
 
@@ -23,10 +23,11 @@ spliceAI_indel_file : annotation_data/spliceAI/spliceai_scores.raw.indel.hg38.vc
 primateAI_file : annotation_data/primateAI/PrimateAI_scores_v0.2_GRCh38_sorted.tsv.bgz
 cadd_snv_file : annotation_data/cadd/whole_genome_SNVs.tsv.gz
 cadd_indel_file : annotation_data/cadd/gnomad.genomes.r3.0.indel.tsv.gz
-
+absplice_repo_dir : repo_dir/absplice
 deeprvat_repo_dir : deeprvat_repo_dir
+kipoi_repo_dir : repo_dir/kipoi-veff2
 variant_file_path : preprocessing_workdir/norm/variants/variants.tsv.gz
 pybedtools_tmp_path : output_dir/annotations/tmp/pybedtools
-
-
-
+n_jobs_deepripe : 32
+n_cores_merge_absplice : 32
+n_cores_absplice : 32