Denovo transcriptomics data of Bemisia tabaci Asia II-1
The sorted BAM files of project NCGM-1404 generated using STAR aligner  were used as inputsto genome guided assembly using Trinity v2.14.0. The two transcript assemblies were generatedas SET 1-A1 (A11,A12 and A13) and SET1-A2 (A211,A212 and A213).The Trinity de-novo assembled transcripts (SET 1-A1=30125 and SET 1-A2=31182) were furthersubjected to the DIAMOND blastx v_2.0.6 (parameters:--max-target-seqs 1 --outfmt 5 --header--sensitive -e 1e-5 -b12 -c1) for similarity search against NRDB (Hemiptera, taxonomy id: 7524).The sequences which has blast hits were extracted (SET 2-A1=18902 and SET 2-A2=19662) andsubjected to the EvidentialGene tr2aacds pipeline  [http://arthropods.eugenes.org/EvidentialGene/about/EvidentialGene_trassembly_pipe.html] (parameters: -MINAA 67) to generatea final assembly set i.e SET3 (SET3-A1= 15490 and SET3-A2=16248) containing an NR uniquesequence (uni-transcript) dataset. The tr2aacds pipeline aims to select an optimal set of de novoassembled transcripts, based on coding potential, from a pool of transcript sequences. This pipelinepredicts (i) the coding DNA sequence and amino acid sequences for each transcript, (ii) purges thesequence fragments, (iii) clusters highly similar sequences or identical sequences and selectsrepresentative set of sequence from each cluster to remove redundancy and (iv) classifies transcriptsas primary or alternate and purges out the low scoring transcripts (drop sets). The biologicallyinformative primary assembled transcripts (okayset.mrna) and corresponding protein sequences(okayset.aa) obtained from the tr2aacds pipeline were considered for further downstream analysis.For the Quantitative assessment of completeness, the assemblies which are generated in each stepwere subjected to the BUSCO v 5. 4. 3 (parameters: --auto-lineage-euk, -m tran, -lhemiptera_odb10) and QUAST v5.0.2 was used for quality assessment of the assembly contigfasta.The protein sequences which were generated using evigene pipeline, were uploaded toeggNOG-mapper which provides Orthologous Groups (OGs) of proteins at different taxonomiclevels, each with integrated and summarised functional annotations and were also subjected toPANNZER2 for Gene Ontology (GO) annotation. The same set of protein sequences weresubjected to BlastKOALA to obtain KEGG description and KO ID (KEGG Orthology Identifier).