Table 1. Response to the question: please indicate how important are the following types of data analysis for your research.

Each cell contains the number of respondents and the percentage of the total. The darker the color the higher the number of responses. Total responses: 134.

Data analysis	Not important	Important	Very important	Total responses
Analysis of high-throughput data (e.g., microarray data, RNA-seq)	16 (11.9%)	21 (15.7%)	97 (72.4%)	134 (100%)
Signaling, network, and pathway analysis	13 (10%)	33 (25.4%)	84 (64.6%)	130 (100%)
Functional analysis of high-throughput data	20 (15.4%)	36 (27.7%)	74 (56.9%)	130 (100%)
Transcription factor and gene regulatory sequence analysis	25 (19.1%)	38 (29.0%)	68 (51.9%)	131 (100%)
Integrated searches of literature and high-throughput data	15 (11.6%)	50 (38.8%)	64 (49.6%)	129 (100%)
DNA/protein sequence manipulation and analysis	17 (13.3%)	50 (39.1%)	61 (47.7%)	128 (100%)
SNP, genetic variation, Genome wide association data analysis	42 (31.8%)	42 (31.8%)	48 (36.4%)	132 (100%)
Other data analysis needs	11 (43.4%)	4 (12.5%)	17 (53.1)	32 (100%)